| | |
- __builtin__.object
-
- broadcast
- dtype
- flatiter
- generic
-
- bool_
- bool_
- flexible
-
- character
-
- string_(__builtin__.str, character)
- string_(__builtin__.str, character)
- string_(__builtin__.str, character)
- unicode_(__builtin__.unicode, character)
- unicode_(__builtin__.unicode, character)
- void
-
- numpy.core.records.record
- void
-
- numpy.core.records.record
- number
-
- inexact
-
- complexfloating
-
- complex128(complexfloating, __builtin__.complex)
- complex128(complexfloating, __builtin__.complex)
- complex128(complexfloating, __builtin__.complex)
- complex128(complexfloating, __builtin__.complex)
- complex256
- complex256
- complex256
- complex256
- complex64
- complex64
- complex64
- floating
-
- float128
- float128
- float128
- float32
- float32
- float64(floating, __builtin__.float)
- float64(floating, __builtin__.float)
- float64(floating, __builtin__.float)
- integer
-
- signedinteger
-
- int16
- int16
- int32
- int32
- int64(signedinteger, __builtin__.int)
- int64(signedinteger, __builtin__.int)
- int64(signedinteger, __builtin__.int)
- int64(signedinteger, __builtin__.int)
- int64(signedinteger, __builtin__.int)
- int8
- int8
- unsignedinteger
-
- uint16
- uint16
- uint32
- uint32
- uint64
- uint64
- uint64
- uint64
- uint64
- uint8
- uint8
- object_
- object_
- ndarray
-
- numpy.core.defchararray.chararray
- numpy.core.defmatrix.matrix
- numpy.core.memmap.memmap
- numpy.core.records.recarray
- ufunc
- numpy.core.numeric.errstate
- numpy.lib.function_base.vectorize
- numpy.lib.getlimits.finfo
- numpy.lib.index_tricks.ndenumerate
- numpy.lib.index_tricks.ndindex
- numpy.lib.machar.MachAr
- numpy.lib.polynomial.poly1d
- __builtin__.str(__builtin__.basestring)
-
- string_(__builtin__.str, character)
- string_(__builtin__.str, character)
- string_(__builtin__.str, character)
- __builtin__.unicode(__builtin__.basestring)
-
- unicode_(__builtin__.unicode, character)
- unicode_(__builtin__.unicode, character)
- exceptions.UserWarning(exceptions.Warning)
-
- numpy.lib.polynomial.RankWarning
- numpy._import_tools.PackageLoader
- numpy.core.records.format_parser
- numpy.lib.getlimits.iinfo
- numpy.testing.numpytest.NumpyTest
-
- numpy.testing.numpytest.ScipyTest
class MachAr(__builtin__.object) |
| |
Diagnosing machine parameters.
The following attributes are available:
ibeta - radix in which numbers are represented
it - number of base-ibeta digits in the floating point mantissa M
machep - exponent of the smallest (most negative) power of ibeta that,
added to 1.0,
gives something different from 1.0
eps - floating-point number beta**machep (floating point precision)
negep - exponent of the smallest power of ibeta that, substracted
from 1.0, gives something different from 1.0
epsneg - floating-point number beta**negep
iexp - number of bits in the exponent (including its sign and bias)
minexp - smallest (most negative) power of ibeta consistent with there
being no leading zeros in the mantissa
xmin - floating point number beta**minexp (the smallest (in
magnitude) usable floating value)
maxexp - smallest (positive) power of ibeta that causes overflow
xmax - (1-epsneg)* beta**maxexp (the largest (in magnitude)
usable floating value)
irnd - in range(6), information on what kind of rounding is done
in addition, and on how underflow is handled
ngrd - number of 'guard digits' used when truncating the product
of two mantissas to fit the representation
epsilon - same as eps
tiny - same as xmin
huge - same as xmax
precision - int(-log10(eps))
resolution - 10**(-precision)
Reference:
Numerical Recipies.
|
| |
Methods defined here:
- __init__(self, float_conv=<type 'float'>, int_conv=<type 'int'>, float_to_float=<type 'float'>, float_to_str=<function <lambda> at 0x2aaab1c80578>, title='Python floating point number')
- float_conv - convert integer to float (array)
int_conv - convert float (array) to integer
float_to_float - convert float array to float
float_to_str - convert array float to str
title - description of used floating point numbers
- __str__(self)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class NumpyTest |
| |
Numpy tests site manager.
Usage: NumpyTest(<package>).test(level=1,verbosity=1)
<package> is package name or its module object.
Package is supposed to contain a directory tests/ with test_*.py
files where * refers to the names of submodules. See .rename()
method to redefine name mapping between test_*.py files and names of
submodules. Pattern test_*.py can be overwritten by redefining
.get_testfile() method.
test_*.py files are supposed to define a classes, derived from
NumpyTestCase or unittest.TestCase, with methods having names
starting with test or bench or check. The names of TestCase classes
must have a prefix test. This can be overwritten by redefining
.check_testcase_name() method.
And that is it! No need to implement test or test_suite functions
in each .py file.
Old-style test_suite(level=1) hooks are also supported.
|
| |
Methods defined here:
- __init__(self, package=None)
- check_testcase_name(self, name)
- Return True if name matches TestCase class.
- get_testfile(self, module, verbosity=0)
- Return path to module test file.
- info(self, message)
- rename(self, **kws)
- Apply renaming submodule test file test_<name>.py to
test_<newname>.py.
Usage: rename(name='newname') before calling the
test() method.
If 'newname' is None, then no tests will be executed for a given
module.
- run(self)
- Run Numpy module test suite with level and verbosity
taken from sys.argv. Requires optparse module.
- test(self, level=1, verbosity=1, all=False, sys_argv=[], testcase_pattern='.*')
- Run Numpy module test suite with level and verbosity.
level:
None --- do nothing, return None
< 0 --- scan for tests of level=abs(level),
don't run them, return TestSuite-list
> 0 --- scan for tests of level, run them,
return TestRunner
> 10 --- run all tests (same as specifying all=True).
(backward compatibility).
verbosity:
>= 0 --- show information messages
> 1 --- show warnings on missing tests
all:
True --- run all test files (like testall())
False (default) --- only run test files associated with a module
sys_argv --- replacement of sys.argv[1:] during running
tests.
testcase_pattern --- run only tests that match given pattern.
It is assumed (when all=False) that package tests suite follows
the following convention: for each package module, there exists
file <packagepath>/tests/test_<modulename>.py that defines
TestCase classes (with names having prefix 'test_') with methods
(with names having prefixes 'check_' or 'bench_'); each of these
methods are called when running unit tests.
- testall(self, level=1, verbosity=1)
- Run Numpy module test suite with level and verbosity.
level:
None --- do nothing, return None
< 0 --- scan for tests of level=abs(level),
don't run them, return TestSuite-list
> 0 --- scan for tests of level, run them,
return TestRunner
verbosity:
>= 0 --- show information messages
> 1 --- show warnings on missing tests
Different from .test(..) method, this method looks for
TestCase classes from all files in <packagedir>/tests/
directory and no assumptions are made for naming the
TestCase classes or their methods.
- warn(self, message)
Data and other attributes defined here:
- testfile_patterns = ['test_%(modulename)s.py']
|
class PackageLoader |
| | |
Methods defined here:
- __call__(self, *packages, **options)
- Load one or more packages into parent package top-level namespace.
Usage:
This function is intended to shorten the need to import many
subpackages, say of scipy, constantly with statements such as
import scipy.linalg, scipy.fftpack, scipy.etc...
Instead, you can say:
import scipy
scipy.pkgload('linalg','fftpack',...)
or
scipy.pkgload()
to load all of them in one call.
If a name which doesn't exist in scipy's namespace is
given, a warning is shown.
Inputs:
- the names (one or more strings) of all the numpy modules one
wishes to load into the top-level namespace.
Optional keyword inputs:
- verbose - integer specifying verbosity level [default: -1].
verbose=-1 will suspend also warnings.
- force - when True, force reloading loaded packages
[default: False].
- postpone - when True, don't load packages [default: False]
If no input arguments are given, then all of scipy's subpackages
are imported.
- __init__(self, verbose=False, infunc=False)
- Manages loading packages.
- error(self, mess)
- get_pkgdocs(self)
- Return documentation summary of subpackages.
- log(self, mess)
- warn(self, mess)
|
class ScipyTest(NumpyTest) |
| | |
Methods defined here:
- __init__(self, package=None)
Methods inherited from NumpyTest:
- check_testcase_name(self, name)
- Return True if name matches TestCase class.
- get_testfile(self, module, verbosity=0)
- Return path to module test file.
- info(self, message)
- rename(self, **kws)
- Apply renaming submodule test file test_<name>.py to
test_<newname>.py.
Usage: rename(name='newname') before calling the
test() method.
If 'newname' is None, then no tests will be executed for a given
module.
- run(self)
- Run Numpy module test suite with level and verbosity
taken from sys.argv. Requires optparse module.
- test(self, level=1, verbosity=1, all=False, sys_argv=[], testcase_pattern='.*')
- Run Numpy module test suite with level and verbosity.
level:
None --- do nothing, return None
< 0 --- scan for tests of level=abs(level),
don't run them, return TestSuite-list
> 0 --- scan for tests of level, run them,
return TestRunner
> 10 --- run all tests (same as specifying all=True).
(backward compatibility).
verbosity:
>= 0 --- show information messages
> 1 --- show warnings on missing tests
all:
True --- run all test files (like testall())
False (default) --- only run test files associated with a module
sys_argv --- replacement of sys.argv[1:] during running
tests.
testcase_pattern --- run only tests that match given pattern.
It is assumed (when all=False) that package tests suite follows
the following convention: for each package module, there exists
file <packagepath>/tests/test_<modulename>.py that defines
TestCase classes (with names having prefix 'test_') with methods
(with names having prefixes 'check_' or 'bench_'); each of these
methods are called when running unit tests.
- testall(self, level=1, verbosity=1)
- Run Numpy module test suite with level and verbosity.
level:
None --- do nothing, return None
< 0 --- scan for tests of level=abs(level),
don't run them, return TestSuite-list
> 0 --- scan for tests of level, run them,
return TestRunner
verbosity:
>= 0 --- show information messages
> 1 --- show warnings on missing tests
Different from .test(..) method, this method looks for
TestCase classes from all files in <packagedir>/tests/
directory and no assumptions are made for naming the
TestCase classes or their methods.
- warn(self, message)
Data and other attributes inherited from NumpyTest:
- testfile_patterns = ['test_%(modulename)s.py']
|
bool8 = class bool_(generic) |
| | |
- Method resolution order:
- bool_
- generic
- __builtin__.object
Methods defined here:
- __and__(...)
- x.__and__(y) <==> x&y
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __index__(...)
- x[y:z] <==> x[y.__index__():z.__index__()]
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __or__(...)
- x.__or__(y) <==> x|y
- __rand__(...)
- x.__rand__(y) <==> y&x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __xor__(...)
- x.__xor__(y) <==> x^y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2bb40>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __oct__(...)
- x.__oct__() <==> oct(x)
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
class bool_(generic) |
| | |
- Method resolution order:
- bool_
- generic
- __builtin__.object
Methods defined here:
- __and__(...)
- x.__and__(y) <==> x&y
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __index__(...)
- x[y:z] <==> x[y.__index__():z.__index__()]
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __or__(...)
- x.__or__(y) <==> x|y
- __rand__(...)
- x.__rand__(y) <==> y&x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __xor__(...)
- x.__xor__(y) <==> x^y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2bb40>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __oct__(...)
- x.__oct__() <==> oct(x)
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
class broadcast(__builtin__.object) |
| | |
Methods defined here:
- __iter__(...)
- x.__iter__() <==> iter(x)
- next(...)
- x.next() -> the next value, or raise StopIteration
- reset(...)
Data descriptors defined here:
- index
- current index in broadcasted result
- iters
- tuple of individual iterators
- nd
- number of dimensions of broadcasted result
- numiter
- number of iterators
- shape
- shape of broadcasted result
- size
- total size of broadcasted result
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2b9c0>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
|
byte = class int8(signedinteger) |
| | |
- Method resolution order:
- int8
- signedinteger
- integer
- number
- generic
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __index__(...)
- x[y:z] <==> x[y.__index__():z.__index__()]
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2cc00>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
cdouble = class complex128(complexfloating, __builtin__.complex) |
| |
Composed of two 64 bit floats
|
| |
- Method resolution order:
- complex128
- complexfloating
- inexact
- number
- generic
- __builtin__.complex
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2e100>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
Methods inherited from __builtin__.complex:
- __coerce__(...)
- x.__coerce__(y) <==> coerce(x, y)
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getnewargs__(...)
- __hash__(...)
- x.__hash__() <==> hash(x)
|
cfloat = class complex128(complexfloating, __builtin__.complex) |
| |
Composed of two 64 bit floats
|
| |
- Method resolution order:
- complex128
- complexfloating
- inexact
- number
- generic
- __builtin__.complex
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2e100>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
Methods inherited from __builtin__.complex:
- __coerce__(...)
- x.__coerce__(y) <==> coerce(x, y)
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getnewargs__(...)
- __hash__(...)
- x.__hash__() <==> hash(x)
|
class chararray(numpy.ndarray) |
| | |
- Method resolution order:
- chararray
- numpy.ndarray
- __builtin__.object
Methods defined here:
- __add__(self, other)
- __array_finalize__(self, obj)
- __eq__(self, other)
- __ge__(self, other)
- __getitem__(self, obj)
- __gt__(self, other)
- __le__(self, other)
- __lt__(self, other)
- __mod__(self, other)
- __mul__(self, other)
- __ne__(self, other)
- __radd__(self, other)
- __rmod__(self, other)
- __rmul__(self, other)
- argsort(self, axis=-1, kind='quicksort', order=None)
- capitalize(self)
- center(self, width, fillchar=' ')
- count(self, sub, start=None, end=None)
- decode(self, encoding=None, errors=None)
- encode(self, encoding=None, errors=None)
- endswith(self, suffix, start=None, end=None)
- expandtabs(self, tabsize=None)
- find(self, sub, start=None, end=None)
- index(self, sub, start=None, end=None)
- isalnum(self)
- isalpha(self)
- isdigit(self)
- islower(self)
- isspace(self)
- istitle(self)
- isupper(self)
- join(self, seq)
- ljust(self, width, fillchar=' ')
- lower(self)
- lstrip(self, chars)
- replace(self, old, new, count=None)
- rfind(self, sub, start=None, end=None)
- rindex(self, sub, start=None, end=None)
- rjust(self, width, fillchar=' ')
- rsplit(self, sep=None, maxsplit=None)
- rstrip(self, chars=None)
- split(self, sep=None, maxsplit=None)
- splitlines(self, keepends=None)
- startswith(self, prefix, start=None, end=None)
- strip(self, chars=None)
- swapcase(self)
- title(self)
- translate(self, table, deletechars=None)
- upper(self)
- zfill(self, width)
Static methods defined here:
- __new__(subtype, shape, itemsize=1, unicode=False, buffer=None, offset=0, strides=None, order='C')
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
Methods inherited from numpy.ndarray:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- a.__array__(|dtype) -> reference if type unchanged, copy otherwise.
Returns either a new reference to self if dtype is not given or a new array
of provided data type if dtype is different from the current dtype of the
array.
- __array_wrap__(...)
- a.__array_wrap__(obj) -> Object of same type as a from ndarray obj.
- __contains__(...)
- x.__contains__(y) <==> y in x
- __copy__(...)
- a.__copy__(|order) -> copy, possibly with different order.
Return a copy of the array.
Argument:
order -- Order of returned copy (default 'C')
If order is 'C' (False) then the result is contiguous (default).
If order is 'Fortran' (True) then the result has fortran order.
If order is 'Any' (None) then the result has fortran order
only if m is already in fortran order.;
- __deepcopy__(...)
- a.__deepcopy__() -> Deep copy of array.
Used if copy.deepcopy is called on an array.
- __delitem__(...)
- x.__delitem__(y) <==> del x[y]
- __delslice__(...)
- x.__delslice__(i, j) <==> del x[i:j]
Use of negative indices is not supported.
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __getslice__(...)
- x.__getslice__(i, j) <==> x[i:j]
Use of negative indices is not supported.
- __hex__(...)
- x.__hex__() <==> hex(x)
- __iadd__(...)
- x.__iadd__(y) <==> x+y
- __iand__(...)
- x.__iand__(y) <==> x&y
- __idiv__(...)
- x.__idiv__(y) <==> x/y
- __ifloordiv__(...)
- x.__ifloordiv__(y) <==> x//y
- __ilshift__(...)
- x.__ilshift__(y) <==> x<<y
- __imod__(...)
- x.__imod__(y) <==> x%y
- __imul__(...)
- x.__imul__(y) <==> x*y
- __index__(...)
- x[y:z] <==> x[y.__index__():z.__index__()]
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __ior__(...)
- x.__ior__(y) <==> x|y
- __ipow__(...)
- x.__ipow__(y) <==> x**y
- __irshift__(...)
- x.__irshift__(y) <==> x>>y
- __isub__(...)
- x.__isub__(y) <==> x-y
- __iter__(...)
- x.__iter__() <==> iter(x)
- __itruediv__(...)
- x.__itruediv__(y) <==> x/y
- __ixor__(...)
- x.__ixor__(y) <==> x^y
- __len__(...)
- x.__len__() <==> len(x)
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- a.__reduce__()
For pickling.
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setitem__(...)
- x.__setitem__(i, y) <==> x[i]=y
- __setslice__(...)
- x.__setslice__(i, j, y) <==> x[i:j]=y
Use of negative indices is not supported.
- __setstate__(...)
- a.__setstate__(version, shape, typecode, isfortran, rawdata)
For unpickling.
Arguments:
version -- optional pickle version. If omitted defaults to 0.
shape -- a tuple giving the shape
typecode -- a typecode
isFortran -- a bool stating if Fortran or no
rawdata -- a binary string with the data (or a list if Object array)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- a.all(axis=None)
- any(...)
- a.any(axis=None, out=None)
- argmax(...)
- a.argmax(axis=None, out=None)
- argmin(...)
- a.argmin(axis=None, out=None)
- astype(...)
- a.astype(t) -> Copy of array cast to type t.
Cast array m to type t. t can be either a string representing a typecode,
or a python type object of type int, float, or complex.
- byteswap(...)
- a.byteswap(False) -> View or copy. Swap the bytes in the array.
Swap the bytes in the array. Return the byteswapped array. If the first
argument is True, byteswap in-place and return a reference to self.
- choose(...)
- a.choose(b0, b1, ..., bn, out=None, mode='raise')
Return an array that merges the b_i arrays together using 'a' as
the index The b_i arrays and 'a' must all be broadcastable to the
same shape. The output at a particular position is the input
array b_i at that position depending on the value of 'a' at that
position. Therefore, 'a' must be an integer array with entries
from 0 to n+1.;
- clip(...)
- a.clip(min=, max=, out=None)
- compress(...)
- a.compress(condition=, axis=None, out=None)
- conj(...)
- a.conj()
- conjugate(...)
- a.conjugate()
- copy(...)
- a.copy(|order) -> copy, possibly with different order.
Return a copy of the array.
Argument:
order -- Order of returned copy (default 'C')
If order is 'C' (False) then the result is contiguous (default).
If order is 'Fortran' (True) then the result has fortran order.
If order is 'Any' (None) then the result has fortran order
only if m is already in fortran order.;
- cumprod(...)
- a.cumprod(axis=None, dtype=None)
- cumsum(...)
- a.cumsum(axis=None, dtype=None, out=None)
- diagonal(...)
- a.diagonal(offset=0, axis1=0, axis2=1) -> diagonals
If a is 2-d, return the diagonal of self with the given offset, i.e., the
collection of elements of the form a[i,i+offset]. If a is n-d with n > 2,
then the axes specified by axis1 and axis2 are used to determine the 2-d
subarray whose diagonal is returned. The shape of the resulting array can
be determined by removing axis1 and axis2 and appending an index to the
right equal to the size of the resulting diagonals.
:Parameters:
offset : integer
Offset of the diagonal from the main diagonal. Can be both positive
and negative. Defaults to main diagonal.
axis1 : integer
Axis to be used as the first axis of the 2-d subarrays from which
the diagonals should be taken. Defaults to first index.
axis2 : integer
Axis to be used as the second axis of the 2-d subarrays from which
the diagonals should be taken. Defaults to second index.
:Returns:
array_of_diagonals : same type as original array
If a is 2-d, then a 1-d array containing the diagonal is returned.
If a is n-d, n > 2, then an array of diagonals is returned.
:SeeAlso:
- diag : matlab workalike for 1-d and 2-d arrays.
- diagflat : creates diagonal arrays
- trace : sum along diagonals
Examples
--------
>>> a = arange(4).reshape(2,2)
>>> a
array([[0, 1],
[2, 3]])
>>> a.diagonal()
array([0, 3])
>>> a.diagonal(1)
array([1])
>>> a = arange(8).reshape(2,2,2)
>>> a
array([[[0, 1],
[2, 3]],
[[4, 5],
[6, 7]]])
>>> a.diagonal(0,-2,-1)
array([[0, 3],
[4, 7]])
- dump(...)
- a.dump(file) Dump a pickle of the array to the specified file.
The array can be read back with pickle.load or numpy.load
Arguments:
file -- string naming the dump file.
- dumps(...)
- a.dumps() returns the pickle of the array as a string.
pickle.loads or numpy.loads will convert the string back to an array.
- fill(...)
- a.fill(value) -> None. Fill the array with the scalar value.
- flatten(...)
- a.flatten([fortran]) return a 1-d array (always copy)
- getfield(...)
- a.getfield(dtype, offset) -> field of array as given type.
Returns a field of the given array as a certain type. A field is a view of
the array data with each itemsize determined by the given type and the
offset into the current array.
- item(...)
- a.item() -> copy of first array item as Python scalar.
Copy the first element of array to a standard Python scalar and return
it. The array must be of size one.
- itemset(...)
- max(...)
- a.max(axis=None)
- mean(...)
- a.mean(axis=None, dtype=None, out=None) -> mean
Returns the average of the array elements. The average is taken over the
flattened array by default, otherwise over the specified axis.
:Parameters:
axis : integer
Axis along which the means are computed. The default is
to compute the standard deviation of the flattened array.
dtype : type
Type to use in computing the means. For arrays of
integer type the default is float32, for arrays of float types it
is the same as the array type.
out : ndarray
Alternative output array in which to place the result. It must have
the same shape as the expected output but the type will be cast if
necessary.
:Returns:
mean : The return type varies, see above.
A new array holding the result is returned unless out is specified,
in which case a reference to out is returned.
:SeeAlso:
- var : variance
- std : standard deviation
Notes
-----
The mean is the sum of the elements along the axis divided by the
number of elements.
- min(...)
- a.min(axis=None)
- newbyteorder(...)
- a.newbyteorder(<byteorder>) is equivalent to
a.view(a.dtype.newbytorder(<byteorder>))
- nonzero(...)
- a.nonzero() returns a tuple of arrays
Returns a tuple of arrays, one for each dimension of a,
containing the indices of the non-zero elements in that
dimension. The corresponding non-zero values can be obtained
with
a[a.nonzero()].
To group the indices by element, rather than dimension, use
transpose(a.nonzero())
instead. The result of this is always a 2d array, with a row for
each non-zero element.;
- prod(...)
- a.prod(axis=None, dtype=None)
- ptp(...)
- a.ptp(axis=None) a.max(axis)-a.min(axis)
- put(...)
- a.put(indices, values, mode) sets a.flat[n] = values[n] for
each n in indices. If values is shorter than indices then it
will repeat.
- ravel(...)
- a.ravel([fortran]) return a 1-d array (copy only if needed)
- repeat(...)
- a.repeat(repeats=, axis=none)
copy elements of a, repeats times. the repeats argument must be a sequence
of length a.shape[axis] or a scalar.
- reshape(...)
- a.reshape(d1, d2, ..., dn, order='c')
Return a new array from this one. The new array must have the same number
of elements as self. Also always returns a view or raises a ValueError if
that is impossible.
- resize(...)
- a.resize(new_shape, refcheck=True, order=False) -> None. Change array shape.
Change size and shape of self inplace. Array must own its own memory and
not be referenced by other arrays. Returns None.
- round(...)
- a.round(decimals=0, out=None) -> out (a). Rounds to 'decimals' places.
Keyword arguments:
decimals -- number of decimals to round to (default 0). May be negative.
out -- existing array to use for output (default a).
Return:
Reference to out, where None specifies the original array a.
Round to the specified number of decimals. When 'decimals' is negative it
specifies the number of positions to the left of the decimal point. The
real and imaginary parts of complex numbers are rounded separately. Nothing
is done if the array is not of float type and 'decimals' is >= 0.
The keyword 'out' may be used to specify a different array to hold the
result rather than the default 'a'. If the type of the array specified by
'out' differs from that of 'a', the result is cast to the new type,
otherwise the original type is kept. Floats round to floats by default.
Numpy rounds to even. Thus 1.5 and 2.5 round to 2.0, -0.5 and 0.5 round to
0.0, etc. Results may also be surprising due to the inexact representation
of decimal fractions in IEEE floating point and the errors introduced in
scaling the numbers when 'decimals' is something other than 0.
- searchsorted(...)
- a.searchsorted(v, side='left') -> index array.
Find the indices into a sorted array such that if the corresponding keys in
v were inserted before the indices the order of a would be preserved. If
side='left', then the first such index is returned. If side='right', then
the last such index is returned. If there is no such index because the key
is out of bounds, then the length of a is returned, i.e., the key would
need to be appended. The returned index array has the same shape as v.
:Parameters:
v : array or list type
Array of keys to be searched for in a.
side : string
Possible values are : 'left', 'right'. Default is 'left'. Return
the first or last index where the key could be inserted.
:Returns:
indices : integer array
The returned array has the same shape as v.
:SeeAlso:
- sort
- histogram
:Notes:
-------
The array a must be 1-d and is assumed to be sorted in ascending order.
Searchsorted uses binary search to find the required insertion points.
- setfield(...)
- m.setfield(value, dtype, offset) -> None.
places val into field of the given array defined by the data type and offset.
- setflags(...)
- a.setflags(write=None, align=None, uic=None)
- sort(...)
- a.sort(axis=-1, kind='quicksort', order=None) -> None.
Perform an inplace sort along the given axis using the algorithm specified
by the kind keyword.
:Parameters:
axis : integer
Axis to be sorted along. None indicates that the flattened array
should be used. Default is -1.
kind : string
Sorting algorithm to use. Possible values are 'quicksort',
'mergesort', or 'heapsort'. Default is 'quicksort'.
order : list type or None
When a is an array with fields defined, this argument specifies
which fields to compare first, second, etc. Not all fields need be
specified.
:Returns:
None
:SeeAlso:
- argsort : indirect sort
- lexsort : indirect stable sort on multiple keys
- searchsorted : find keys in sorted array
:Notes:
------
The various sorts are characterized by average speed, worst case
performance, need for work space, and whether they are stable. A stable
sort keeps items with the same key in the same relative order. The three
available algorithms have the following properties:
|------------------------------------------------------|
| kind | speed | worst case | work space | stable|
|------------------------------------------------------|
|'quicksort'| 1 | O(n^2) | 0 | no |
|'mergesort'| 2 | O(n*log(n)) | ~n/2 | yes |
|'heapsort' | 3 | O(n*log(n)) | 0 | no |
|------------------------------------------------------|
All the sort algorithms make temporary copies of the data when the sort is not
along the last axis. Consequently, sorts along the last axis are faster and use
less space than sorts along other axis.
- squeeze(...)
- m.squeeze() eliminate all length-1 dimensions
- std(...)
- a.std(axis=None, dtype=None, out=None) -> standard deviation.
Returns the standard deviation of the array elements, a measure of the
spread of a distribution. The standard deviation is computed for the
flattened array by default, otherwise over the specified axis.
:Parameters:
axis : integer
Axis along which the standard deviation is computed. The default is
to compute the standard deviation of the flattened array.
dtype : type
Type to use in computing the standard deviation. For arrays of
integer type the default is float32, for arrays of float types it
is the same as the array type.
out : ndarray
Alternative output array in which to place the result. It must have
the same shape as the expected output but the type will be cast if
necessary.
:Returns:
standard deviation : The return type varies, see above.
A new array holding the result is returned unless out is specified,
in which case a reference to out is returned.
:SeeAlso:
- var : variance
- mean : average
Notes
-----
The standard deviation is the square root of the average of the squared
deviations from the mean, i.e. var = sqrt(mean((x - x.mean())**2)). The
computed standard deviation is biased, i.e., the mean is computed by
dividing by the number of elements, N, rather than by N-1.
- sum(...)
- a.sum(axis=None, dtype=None) -> Sum of array over given axis.
Sum the array over the given axis. If the axis is None, sum over
all dimensions of the array.
The optional dtype argument is the data type for the returned
value and intermediate calculations. The default is to upcast
(promote) smaller integer types to the platform-dependent int.
For example, on 32-bit platforms:
a.dtype default sum dtype
---------------------------------------------------
bool, int8, int16, int32 int32
Warning: The arithmetic is modular and no error is raised on overflow.
Examples:
>>> array([0.5, 1.5]).sum()
2.0
>>> array([0.5, 1.5]).sum(dtype=int32)
1
>>> array([[0, 1], [0, 5]]).sum(axis=0)
array([0, 6])
>>> array([[0, 1], [0, 5]]).sum(axis=1)
array([1, 5])
>>> ones(128, dtype=int8).sum(dtype=int8) # overflow!
-128
- swapaxes(...)
- a.swapaxes(axis1, axis2) -> new view with axes swapped.
- take(...)
- a.take(indices, axis=None, out=None, mode='raise') -> new array.
The new array is formed from the elements of a indexed by indices along the
given axis.
- tofile(...)
- a.tofile(fid, sep="", format="%s") -> None. Write the data to a file.
Required arguments:
file -- an open file object or a string containing a filename
Keyword arguments:
sep -- separator for text output. Write binary if empty (default "")
format -- format string for text file output (default "%s")
A convenience function for quick storage of array data. Information on
endianess and precision is lost, so this method is not a good choice for
files intended to archive data or transport data between machines with
different endianess. Some of these problems can be overcome by outputting
the data as text files at the expense of speed and file size.
If 'sep' is empty this method is equivalent to file.write(a.tostring()). If
'sep' is not empty each data item is converted to the nearest Python type
and formatted using "format"%item. The resulting strings are written to the
file separated by the contents of 'sep'. The data is always written in "C"
(row major) order independent of the order of 'a'.
The data produced by this method can be recovered by using the function
fromfile().
- tolist(...)
- a.tolist() -> Array as hierarchical list.
Copy the data portion of the array to a hierarchical python list and return
that list. Data items are converted to the nearest compatible Python type.
- tostring(...)
- a.tostring(order='C') -> raw copy of array data as a Python string.
Keyword arguments:
order -- order of the data item in the copy {"C","F","A"} (default "C")
Construct a Python string containing the raw bytes in the array. The order
of the data in arrays with ndim > 1 is specified by the 'order' keyword and
this keyword overrides the order of the array. The
choices are:
"C" -- C order (row major)
"Fortran" -- Fortran order (column major)
"Any" -- Current order of array.
None -- Same as "Any"
- trace(...)
- a.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None)
return the sum along the offset diagonal of the array's indicated
axis1 and axis2.
- transpose(...)
- a.transpose(*axes)
Returns a view of 'a' with axes transposed. If no axes are given,
or None is passed, switches the order of the axes. For a 2-d
array, this is the usual matrix transpose. If axes are given,
they describe how the axes are permuted.
Example:
>>> a = array([[1,2],[3,4]])
>>> a
array([[1, 2],
[3, 4]])
>>> a.transpose()
array([[1, 3],
[2, 4]])
>>> a.transpose((1,0))
array([[1, 3],
[2, 4]])
>>> a.transpose(1,0)
array([[1, 3],
[2, 4]])
- var(...)
- a.var(axis=None, dtype=None, out=None) -> variance
Returns the variance of the array elements, a measure of the spread of a
distribution. The variance is computed for the flattened array by default,
otherwise over the specified axis.
:Parameters:
axis : integer
Axis along which the variance is computed. The default is to
compute the variance of the flattened array.
dtype : type
Type to use in computing the variance. For arrays of integer type
the default is float32, for arrays of float types it is the same as
the array type.
out : ndarray
Alternative output array in which to place the result. It must have
the same shape as the expected output but the type will be cast if
necessary.
:Returns:
variance : The return type varies, see above.
A new array holding the result is returned unless out is specified,
in which case a reference to out is returned.
:SeeAlso:
- std : standard deviation
- mean: average
Notes
-----
The variance is the average of the squared deviations from the mean, i.e.
var = mean((x - x.mean())**2). The computed variance is biased, i.e.,
the mean is computed by dividing by the number of elements, N, rather
than by N-1.
- view(...)
- a.view(<type>) -> new view of array with same data.
Type can be either a new sub-type object or a data-descriptor object
Data descriptors inherited from numpy.ndarray:
- T
- Same as transpose() except self is returned for self.ndim < 2.
- __array_interface__
- Array protocol: Python side.
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: C-struct side.
- base
- Base object if memory is from some other object.
- ctypes
- A ctypes interface object.
- data
- Buffer object pointing to the start of the data.
- dtype
- Data-type for the array.
- flags
- Special object providing array flags.
- flat
- A 1-d flat iterator.
- imag
- Imaginary part of the array.
- itemsize
- Length of one element in bytes.
- nbytes
- Number of bytes in the array.
- ndim
- Number of array dimensions.
- real
- Real part of the array.
- shape
- Tuple of array dimensions.
- size
- Number of elements in the array.
- strides
- Tuple of bytes to step in each dimension.
|
clongdouble = class complex256(complexfloating) |
| |
Composed of two 128 bit floats
|
| |
- Method resolution order:
- complex256
- complexfloating
- inexact
- number
- generic
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __float__(...)
- x.__float__() <==> float(x)
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __long__(...)
- x.__long__() <==> long(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __oct__(...)
- x.__oct__() <==> oct(x)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __str__(...)
- x.__str__() <==> str(x)
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2e280>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __invert__(...)
- x.__invert__() <==> ~x
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
clongfloat = class complex256(complexfloating) |
| |
Composed of two 128 bit floats
|
| |
- Method resolution order:
- complex256
- complexfloating
- inexact
- number
- generic
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __float__(...)
- x.__float__() <==> float(x)
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __long__(...)
- x.__long__() <==> long(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __oct__(...)
- x.__oct__() <==> oct(x)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __str__(...)
- x.__str__() <==> str(x)
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2e280>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __invert__(...)
- x.__invert__() <==> ~x
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
class complex128(complexfloating, __builtin__.complex) |
| |
Composed of two 64 bit floats
|
| |
- Method resolution order:
- complex128
- complexfloating
- inexact
- number
- generic
- __builtin__.complex
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2e100>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
Methods inherited from __builtin__.complex:
- __coerce__(...)
- x.__coerce__(y) <==> coerce(x, y)
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getnewargs__(...)
- __hash__(...)
- x.__hash__() <==> hash(x)
|
class complex256(complexfloating) |
| |
Composed of two 128 bit floats
|
| |
- Method resolution order:
- complex256
- complexfloating
- inexact
- number
- generic
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __float__(...)
- x.__float__() <==> float(x)
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __long__(...)
- x.__long__() <==> long(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __oct__(...)
- x.__oct__() <==> oct(x)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __str__(...)
- x.__str__() <==> str(x)
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2e280>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __invert__(...)
- x.__invert__() <==> ~x
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
class complex64(complexfloating) |
| |
Composed of two 32 bit floats
|
| |
- Method resolution order:
- complex64
- complexfloating
- inexact
- number
- generic
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2df80>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
complex_ = class complex128(complexfloating, __builtin__.complex) |
| |
Composed of two 64 bit floats
|
| |
- Method resolution order:
- complex128
- complexfloating
- inexact
- number
- generic
- __builtin__.complex
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2e100>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
Methods inherited from __builtin__.complex:
- __coerce__(...)
- x.__coerce__(y) <==> coerce(x, y)
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getnewargs__(...)
- __hash__(...)
- x.__hash__() <==> hash(x)
|
csingle = class complex64(complexfloating) |
| |
Composed of two 32 bit floats
|
| |
- Method resolution order:
- complex64
- complexfloating
- inexact
- number
- generic
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2df80>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
double = class float64(floating, __builtin__.float) |
| | |
- Method resolution order:
- float64
- floating
- inexact
- number
- generic
- __builtin__.float
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2dc80>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
Methods inherited from __builtin__.float:
- __coerce__(...)
- x.__coerce__(y) <==> coerce(x, y)
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getnewargs__(...)
- __hash__(...)
- x.__hash__() <==> hash(x)
Data and other attributes inherited from __builtin__.float:
- __getformat__ = <built-in method __getformat__ of type object at 0x2aaab0f2dc80>
- float.__getformat__(typestr) -> string
You probably don't want to use this function. It exists mainly to be
used in Python's test suite.
typestr must be 'double' or 'float'. This function returns whichever of
'unknown', 'IEEE, big-endian' or 'IEEE, little-endian' best describes the
format of floating point numbers used by the C type named by typestr.
- __setformat__ = <built-in method __setformat__ of type object at 0x2aaab0f2dc80>
- float.__setformat__(typestr, fmt) -> None
You probably don't want to use this function. It exists mainly to be
used in Python's test suite.
typestr must be 'double' or 'float'. fmt must be one of 'unknown',
'IEEE, big-endian' or 'IEEE, little-endian', and in addition can only be
one of the latter two if it appears to match the underlying C reality.
Overrides the automatic determination of C-level floating point type.
This affects how floats are converted to and from binary strings.
|
class dtype(__builtin__.object) |
| | |
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __getitem__(...)
- x.__getitem__(y) <==> x[y]
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __len__(...)
- x.__len__() <==> len(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __mul__(...)
- x.__mul__(n) <==> x*n
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __reduce__(...)
- __reduce__() for pickling
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rmul__(...)
- x.__rmul__(n) <==> n*x
- __setstate__(...)
- __setstate__() for pickling
- __str__(...)
- x.__str__() <==> str(x)
- newbyteorder(...)
- newbyteorder(<endian>)
returns a copy of the dtype object with altered byteorders.
If <endian> is not given all byteorders are swapped.
Otherwise endian can be '>', '<', or '=' to force a particular
byteorder. Data-types in all fields are also updated in the
new dtype object.
Data descriptors defined here:
- alignment
- Needed alignment for this data-type
- base
- The base data-type or self if no subdtype
- byteorder
- Little-endian (<), big-endian (>), native (=), or not-applicable (|)
- char
- Letter typecode for this data-type
- descr
- The array_interface data-type descriptor.
- fields
- Fields of the data-type or None if no fields
- flags
- hasobject
- Non-zero if Python objects are in this data-type
- isbuiltin
- Is this a built-in data-type?
- isnative
- Is the byte-order of this data-type native?
- itemsize
- Size of each item
- kind
- Character giving type-family of this data-type
- name
- The name of the true data-type
- names
- Names of fields or None if no fields
- num
- Internally-used number for builtin base
- shape
- The shape of the subdtype or (1,)
- str
- The array interface typestring.
- subdtype
- A tuple of (descr, shape) or None
- type
- Type object associated with this data-type
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2b540>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
|
class errstate(__builtin__.object) |
| |
with errstate(**state): --> operations in following block use given state.
# Set error handling to known state.
>>> _ = seterr(invalid='raise', divide='raise', over='raise', under='ignore')
|>> a = -arange(3)
|>> with errstate(invalid='ignore'):
... print sqrt(a)
[ 0. -1.#IND -1.#IND]
|>> print sqrt(a.astype(complex))
[ 0. +0.00000000e+00j 0. +1.00000000e+00j 0. +1.41421356e+00j]
|>> print sqrt(a)
Traceback (most recent call last):
...
FloatingPointError: invalid encountered in sqrt
|>> with errstate(divide='ignore'):
... print a/0
[0 0 0]
|>> print a/0
Traceback (most recent call last):
...
FloatingPointError: divide by zero encountered in divide
|
| |
Methods defined here:
- __enter__(self)
- __exit__(self, *exc_info)
- __init__(self, **kwargs)
- # Note that we don't want to run the above doctests because they will fail
# without a from __future__ import with_statement
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class finfo(__builtin__.object) |
| |
Machine limits for floating point types.
:Parameters:
dtype : floating point type or instance
:SeeAlso:
- numpy.lib.machar.MachAr
|
| |
Methods defined here:
- __str__(self)
Static methods defined here:
- __new__(cls, dtype)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class float128(floating) |
| | |
- Method resolution order:
- float128
- floating
- inexact
- number
- generic
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __float__(...)
- x.__float__() <==> float(x)
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __long__(...)
- x.__long__() <==> long(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __oct__(...)
- x.__oct__() <==> oct(x)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __str__(...)
- x.__str__() <==> str(x)
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2de00>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __invert__(...)
- x.__invert__() <==> ~x
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
class float32(floating) |
| | |
- Method resolution order:
- float32
- floating
- inexact
- number
- generic
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2db00>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
|
class float64(floating, __builtin__.float) |
| | |
- Method resolution order:
- float64
- floating
- inexact
- number
- generic
- __builtin__.float
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2dc80>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
Methods inherited from __builtin__.float:
- __coerce__(...)
- x.__coerce__(y) <==> coerce(x, y)
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getnewargs__(...)
- __hash__(...)
- x.__hash__() <==> hash(x)
Data and other attributes inherited from __builtin__.float:
- __getformat__ = <built-in method __getformat__ of type object at 0x2aaab0f2dc80>
- float.__getformat__(typestr) -> string
You probably don't want to use this function. It exists mainly to be
used in Python's test suite.
typestr must be 'double' or 'float'. This function returns whichever of
'unknown', 'IEEE, big-endian' or 'IEEE, little-endian' best describes the
format of floating point numbers used by the C type named by typestr.
- __setformat__ = <built-in method __setformat__ of type object at 0x2aaab0f2dc80>
- float.__setformat__(typestr, fmt) -> None
You probably don't want to use this function. It exists mainly to be
used in Python's test suite.
typestr must be 'double' or 'float'. fmt must be one of 'unknown',
'IEEE, big-endian' or 'IEEE, little-endian', and in addition can only be
one of the latter two if it appears to match the underlying C reality.
Overrides the automatic determination of C-level floating point type.
This affects how floats are converted to and from binary strings.
|
float_ = class float64(floating, __builtin__.float) |
| | |
- Method resolution order:
- float64
- floating
- inexact
- number
- generic
- __builtin__.float
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2dc80>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
- __xor__(...)
- x.__xor__(y) <==> x^y
- all(...)
- any(...)
- argmax(...)
- argmin(...)
- argsort(...)
- astype(...)
- byteswap(...)
- choose(...)
- clip(...)
- compress(...)
- conj(...)
- conjugate(...)
- copy(...)
- cumprod(...)
- cumsum(...)
- diagonal(...)
- dump(...)
- dumps(...)
- fill(...)
- flatten(...)
- getfield(...)
- item(...)
- itemset(...)
- max(...)
- mean(...)
- min(...)
- newbyteorder(...)
- nonzero(...)
- prod(...)
- ptp(...)
- put(...)
- ravel(...)
- repeat(...)
- reshape(...)
- resize(...)
- round(...)
- searchsorted(...)
- setfield(...)
- setflags(...)
- sort(...)
- squeeze(...)
- std(...)
- sum(...)
- swapaxes(...)
- take(...)
- tofile(...)
- tolist(...)
- tostring(...)
- trace(...)
- transpose(...)
- var(...)
- view(...)
Data descriptors inherited from generic:
- T
- transpose
- __array_interface__
- Array protocol: Python side
- __array_priority__
- Array priority.
- __array_struct__
- Array protocol: struct
- base
- base object
- data
- pointer to start of data
- dtype
- get array data-descriptor
- flags
- integer value of flags
- flat
- a 1-d view of scalar
- imag
- imaginary part of scalar
- itemsize
- length of one element in bytes
- nbytes
- length of item in bytes
- ndim
- number of array dimensions
- real
- real part of scalar
- shape
- tuple of array dimensions
- size
- number of elements in the gentype
- strides
- tuple of bytes steps in each dimension
Methods inherited from __builtin__.float:
- __coerce__(...)
- x.__coerce__(y) <==> coerce(x, y)
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getnewargs__(...)
- __hash__(...)
- x.__hash__() <==> hash(x)
Data and other attributes inherited from __builtin__.float:
- __getformat__ = <built-in method __getformat__ of type object at 0x2aaab0f2dc80>
- float.__getformat__(typestr) -> string
You probably don't want to use this function. It exists mainly to be
used in Python's test suite.
typestr must be 'double' or 'float'. This function returns whichever of
'unknown', 'IEEE, big-endian' or 'IEEE, little-endian' best describes the
format of floating point numbers used by the C type named by typestr.
- __setformat__ = <built-in method __setformat__ of type object at 0x2aaab0f2dc80>
- float.__setformat__(typestr, fmt) -> None
You probably don't want to use this function. It exists mainly to be
used in Python's test suite.
typestr must be 'double' or 'float'. fmt must be one of 'unknown',
'IEEE, big-endian' or 'IEEE, little-endian', and in addition can only be
one of the latter two if it appears to match the underlying C reality.
Overrides the automatic determination of C-level floating point type.
This affects how floats are converted to and from binary strings.
|
class iinfo |
| |
Limits for integer types.
:Parameters:
type : integer type or instance
|
| |
Methods defined here:
- __init__(self, type)
Data descriptors defined here:
- max
- Maximum value of given dtype.
- min
- Minimum value of given dtype.
|
int0 = class int64(signedinteger, __builtin__.int) |
| | |
- Method resolution order:
- int64
- signedinteger
- integer
- number
- generic
- __builtin__.int
- __builtin__.object
Methods defined here:
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __gt__(...)
- x.__gt__(y) <==> x>y
- __index__(...)
- x[y:z] <==> x[y.__index__():z.__index__()]
- __le__(...)
- x.__le__(y) <==> x<=y
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
Data and other attributes defined here:
- __new__ = <built-in method __new__ of type object at 0x2aaab0f2d080>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
Methods inherited from generic:
- __abs__(...)
- x.__abs__() <==> abs(x)
- __add__(...)
- x.__add__(y) <==> x+y
- __and__(...)
- x.__and__(y) <==> x&y
- __array__(...)
- sc.__array__(|type) return 0-dim array
- __array_wrap__(...)
- sc.__array_wrap__(obj) return scalar from array
- __copy__(...)
- __deepcopy__(...)
- __div__(...)
- x.__div__(y) <==> x/y
- __divmod__(...)
- x.__divmod__(y) <==> divmod(x, y)
- __float__(...)
- x.__float__() <==> float(x)
- __floordiv__(...)
- x.__floordiv__(y) <==> x//y
- __hex__(...)
- x.__hex__() <==> hex(x)
- __int__(...)
- x.__int__() <==> int(x)
- __invert__(...)
- x.__invert__() <==> ~x
- __long__(...)
- x.__long__() <==> long(x)
- __lshift__(...)
- x.__lshift__(y) <==> x<<y
- __mod__(...)
- x.__mod__(y) <==> x%y
- __mul__(...)
- x.__mul__(y) <==> x*y
- __neg__(...)
- x.__neg__() <==> -x
- __nonzero__(...)
- x.__nonzero__() <==> x != 0
- __oct__(...)
- x.__oct__() <==> oct(x)
- __or__(...)
- x.__or__(y) <==> x|y
- __pos__(...)
- x.__pos__() <==> +x
- __pow__(...)
- x.__pow__(y[, z]) <==> pow(x, y[, z])
- __radd__(...)
- x.__radd__(y) <==> y+x
- __rand__(...)
- x.__rand__(y) <==> y&x
- __rdiv__(...)
- x.__rdiv__(y) <==> y/x
- __rdivmod__(...)
- x.__rdivmod__(y) <==> divmod(y, x)
- __reduce__(...)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __rfloordiv__(...)
- x.__rfloordiv__(y) <==> y//x
- __rlshift__(...)
- x.__rlshift__(y) <==> y<<x
- __rmod__(...)
- x.__rmod__(y) <==> y%x
- __rmul__(...)
- x.__rmul__(y) <==> y*x
- __ror__(...)
- x.__ror__(y) <==> y|x
- __rpow__(...)
- y.__rpow__(x[, z]) <==> pow(x, y[, z])
- __rrshift__(...)
- x.__rrshift__(y) <==> y>>x
- __rshift__(...)
- x.__rshift__(y) <==> x>>y
- __rsub__(...)
- x.__rsub__(y) <==> y-x
- __rtruediv__(...)
- x.__rtruediv__(y) <==> y/x
- __rxor__(...)
- x.__rxor__(y) <==> y^x
- __setstate__(...)
- __str__(...)
- x.__str__() <==> str(x)
- __sub__(...)
- x.__sub__(y) <==> x-y
- __truediv__(...)
- x.__truediv__(y) <==> x/y
| |