Package Contents

Functions
		getmaskorNone(obj)

Data
		absolute = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50f80> add = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57200> arccos = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50cb0> arccosh = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50dd0> arcsin = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50c20> arcsinh = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50d40> arctan = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50cf8> arctan2 = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57878> arctanh = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50e60> around = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b570e0> bitwise_and = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57e60> bitwise_or = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57ef0> bitwise_xor = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57f80> ceil = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b57170> conjugate = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50998> cos = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50a70> cosh = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50ef0> default_character_fill_value = '-' default_complex_fill_value = (1e+20+0j) default_integer_fill_value = 999999 default_object_fill_value = '?' default_real_fill_value = 1e+20 divide = <numpy.core.ma.domained_binary_operation instance at 0x2aaab0b573b0> divide_tolerance = 1e-35 equal = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b578c0> exp = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50908> fabs = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50fc8> floor = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b57128> floor_divide = <numpy.core.ma.domained_binary_operation instance at 0x2aaab0b57560> fmod = <numpy.core.ma.domained_binary_operation instance at 0x2aaab0b57710> greater = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57bd8> greater_equal = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57ab8> hypot = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b577a0> inf = inf less = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57b48> less_equal = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57a28> log = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50830> log10 = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b508c0> logical_and = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57c68> logical_not = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b571b8> logical_or = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57d40> logical_xor = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57dd0> masked = array(data = 999999, mask = True, fill_value=999999) masked_print_option = -- maximum = <numpy.core.ma._maximum_operation instance at 0x2aaab0b5b3f8> minimum = <numpy.core.ma._minimum_operation instance at 0x2aaab0b5b3b0> multiply = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57320> negative = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b57098> newaxis = None nomask = False not_equal = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57998> remainder = <numpy.core.ma.domained_binary_operation instance at 0x2aaab0b57638> sin = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b509e0> sinh = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50ea8> sqrt = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b507a0> subtract = <numpy.core.ma.masked_binary_operation instance at 0x2aaab0b57290> tan = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50b48> tanh = <numpy.core.ma.masked_unary_operation instance at 0x2aaab0b50f38> true_divide = <numpy.core.ma.domained_binary_operation instance at 0x2aaab0b57488> typecodes = {'All': '?bhilqpBHILQPfdgFDGSUVO', 'AllFloat': 'fdgFDG', 'AllInteger': 'bBhHiIlLqQpP', 'Character': 'S1', 'Complex': 'FDG', 'Float': 'fdg', 'Integer': 'bhilqp', 'UnsignedInteger': 'BHILQP'} ufunc_domain = {<function round_ at 0x2aaab06d9938>: None, <ufunc 'sinh'>: None, <ufunc 'remainder'>: <numpy.core.ma.domain_safe_divide instance at 0x2aaab0b575f0>, <ufunc 'sin'>: None, <ufunc 'absolute'>: None, <ufunc 'sqrt'>: <numpy.core.ma.domain_greater_equal instance at 0x2aaab0b50710>, <ufunc 'less'>: None, <ufunc 'arcsin'>: <numpy.core.ma.domain_check_interval instance at 0x2aaab0b50bd8>, <ufunc 'arctan2'>: None, <ufunc 'greater'>: None, ...} ufunc_fills = {<function round_ at 0x2aaab06d9938>: (0,), <ufunc 'sinh'>: (0,), <ufunc 'remainder'>: (0, 1), <ufunc 'sin'>: (0,), <ufunc 'absolute'>: (0,), <ufunc 'sqrt'>: (0.0,), <ufunc 'less'>: (0, 0), <ufunc 'arcsin'>: (0.0,), <ufunc 'arctan2'>: (0.0, 1.0), <ufunc 'greater'>: (0, 0), ...} which = ('numpy', 'rc')