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• numpy.tan

  ...NumPy reference Routines and objects by topic Mathematical functions numpy.tan...

• numpy.tanh

  ...NumPy reference Routines and objects by topic Mathematical functions numpy.tanh...

• numpy.tan (Python data, in numpy.tan)
• NumPy 1.21.3 Release Notes

  ...n Apple silicon + test failures… #19958: MAINT: Mark type-check-only ufunc subclasses as ufunc aliases… #19994: BUG: np.tan(np.inf) test failure #20080: BUG: Correct incorrect advance in PCG with emulated int128 #20081: BUG: Fix NaT handlin...

• NumPy 1.22.0 Release Notes

  ...enhancement in this release. A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across applications such as CuPy and JAX. NumPy now has a DLPack backen...

• numpy.arcsin

  ...n radians and in the closed interval [-pi/2, pi/2]. This is a scalar if x is a scalar. See also sin, cos, arccos, tan, arctan, arctan2, emath.arcsin Notes arcsin is a multivalued function: for each x there are infinitely many number...

• numpy.arctan

  ...NumPy reference Routines and objects by topic Mathematical functions numpy.arctan...

• numpy.arctan2

  ...NumPy reference Routines and objects by topic Mathematical functions numpy.arctan2...

• numpy.asin

  ...n radians and in the closed interval [-pi/2, pi/2]. This is a scalar if x is a scalar. See also sin, cos, arccos, tan, arctan, arctan2, emath.arcsin Notes arcsin is a multivalued function: for each x there are infinitely many number...

• numpy.atan

  ...NumPy reference Routines and objects by topic Mathematical functions numpy.atan...

• numpy.atan2

  ...NumPy reference Routines and objects by topic Mathematical functions numpy.atan2...

• numpy.tan

  ...NumPy reference Routines and objects by topic Mathematical functions numpy.tan...

• numpy.tanh

  ...NumPy reference Routines and objects by topic Mathematical functions numpy.tanh...

• numpy.arctan (Python data, in numpy.arctan)
• numpy.arctan2 (Python data, in numpy.arctan2)
• numpy.arctanh (Python data, in numpy.arctanh)
• numpy.atan (Python data, in numpy.atan)
• numpy.atan2 (Python data, in numpy.atan2)
• numpy.atanh (Python data, in numpy.atanh)
• numpy.distutils.system_info.get_standard_file (Python function, in numpy.distutils.system_info.get_standard_file)
• numpy.emath.arctanh (Python function, in numpy.emath.arctanh)
• numpy.lib.scimath.arctanh (Python function, in numpy.lib.scimath.arctanh)
• numpy.random.Generator.standard_cauchy (Python method, in numpy.random.Generator.standard_cauchy)
• numpy.random.Generator.standard_exponential (Python method, in numpy.random.Generator.standard_exponential)
• numpy.random.Generator.standard_gamma (Python method, in numpy.random.Generator.standard_gamma)
• numpy.random.Generator.standard_normal (Python method, in numpy.random.Generator.standard_normal)
• numpy.random.Generator.standard_t (Python method, in numpy.random.Generator.standard_t)
• numpy.random.RandomState.standard_cauchy (Python method, in numpy.random.RandomState.standard_cauchy)
• numpy.random.RandomState.standard_exponential (Python method, in numpy.random.RandomState.standard_exponential)
• numpy.random.RandomState.standard_gamma (Python method, in numpy.random.RandomState.standard_gamma)
• numpy.random.RandomState.standard_normal (Python method, in numpy.random.RandomState.standard_normal)
• numpy.random.RandomState.standard_t (Python method, in numpy.random.RandomState.standard_t)
• numpy.random.standard_cauchy (Python function, in numpy.random.standard_cauchy)
• numpy.random.standard_exponential (Python function, in numpy.random.standard_exponential)
• numpy.random.standard_gamma (Python function, in numpy.random.standard_gamma)
• numpy.random.standard_normal (Python function, in numpy.random.standard_normal)
• numpy.random.standard_t (Python function, in numpy.random.standard_t)
• numpy.tanh (Python data, in numpy.tanh)
• PyModule_AddIntConstant (C function, in How to extend NumPy)
• PyModule_AddStringConstant (C function, in How to extend NumPy)
• numpy.class.__array__ (Python method, in Standard array subclasses)
• numpy.class.__array_finalize__ (Python method, in Standard array subclasses)
• numpy.class.__array_function__ (Python method, in Standard array subclasses)
• numpy.class.__array_priority__ (Python attribute, in Standard array subclasses)
• numpy.class.__array_ufunc__ (Python method, in Standard array subclasses)
• numpy.class.__array_wrap__ (Python method, in Standard array subclasses)
• numpy.e (Python data, in Constants)
• numpy.euler_gamma (Python data, in Constants)
• numpy.inf (Python data, in Constants)
• numpy.ma.masked (Python data, in Constants of the numpy.ma module)
• numpy.ma.masked_print_option (Python data, in Constants of the numpy.ma module)
• numpy.ma.MaskedArray (Python class, in Constants of the numpy.ma module)
• numpy.ma.MaskedArray.baseclass (Python attribute, in Constants of the numpy.ma module)
• numpy.ma.MaskedArray.data (Python attribute, in Constants of the numpy.ma module)
• numpy.ma.MaskedArray.fill_value (Python attribute, in Constants of the numpy.ma module)
• numpy.ma.MaskedArray.hardmask (Python attribute, in Constants of the numpy.ma module)
• numpy.ma.MaskedArray.mask (Python attribute, in Constants of the numpy.ma module)
• numpy.ma.MaskedArray.recordmask (Python attribute, in Constants of the numpy.ma module)
• numpy.ma.MaskedArray.sharedmask (Python attribute, in Constants of the numpy.ma module)
• numpy.ma.nomask (Python data, in Constants of the numpy.ma module)
• numpy.nan (Python data, in Constants)
• numpy.newaxis (Python data, in Constants)
• numpy.pi (Python data, in Constants)
• PyModule_AddIntConstant.module (C function parameter, in How to extend NumPy)
• PyModule_AddIntConstant.name (C function parameter, in How to extend NumPy)
• PyModule_AddIntConstant.value (C function parameter, in How to extend NumPy)
• PyModule_AddStringConstant.module (C function parameter, in How to extend NumPy)
• PyModule_AddStringConstant.name (C function parameter, in How to extend NumPy)
• PyModule_AddStringConstant.value (C function parameter, in How to extend NumPy)