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• Legacy fixed-width string functionality > String operations

  ...legacy and will no longer receive updates. This could also mean it will be removed in future NumPy versions. The string operations in this module, as well as the numpy.char.chararray class, are planned to be deprecated in the future. Use nu...

• String functionality > String operations

  ...String functionality The numpy.strings module provides a set of universal functions operating on arrays of type numpy.str_ or numpy.bytes_. For example >>> np.strings.add(["num", "doc"], ["py", "umentatio...

• Array creation

  ...ype(np.int32) >>> print('signed c:', c_signed32, c_signed32.dtype) signed c: [-3 -3 -3] int64 Notice when you perform operations with two arrays of the same dtype: uint32, the resulting array is the same type. When you perform operations...

• Constants of the numpy.ma module

  ...a value that may be used to replace the invalid entries in order to return a standard numpy.ndarray. Attributes and properties of masked arrays See also Array Attributes ma.MaskedArray.data Returns the underlying data, as a view of th...

• Data type objects (dtype)

  ...thod for typing: dtype.__class_getitem__(item, /) Return a parametrized wrapper around the dtype type. Comparison operations: dtype.__ge__(value, /) Return self>=value. dtype.__gt__(value, /) Return self>value. dtype.__le__(value,...

• Data types

  ...rmation about the type, such as its bit-width and its byte-order. The data type can also be used indirectly to query properties of the type, such as whether it is an integer: >>> d = np.dtype(np.int64) >>> d dtype('int64') >>> np.issubdty...

• Legacy fixed-width string functionality

  ...legacy and will no longer receive updates. This could also mean it will be removed in future NumPy versions. The string operations in this module, as well as the numpy.char.chararray class, are planned to be deprecated in the future. Use nu...

• NpyString API

  ...an array owns the StringDType instance, 0 otherwise. npy_static_string default_string The default string to use in operations. If the missing string object is a string, this will contain the string data for the missing string. npy_...

• NumPy 1.10.0 Release Notes

  ...np.concatenate for joining along an existing axis. Addition of nanprod to the set of nanfunctions. Support for the ‘@’ operator in Python 3.5. Dropped Support The _dotblas module has been removed. CBLAS Support is now in Multiarray. Th...

• NumPy 1.11.0 Release Notes

  ...nce Numpy 1.9 but, due to a bug, sometimes no warning was raised and the dimensions were already preserved. % and // operators These operators are implemented with the remainder and floor_divide functions respectively. Those functions ar...

• NumPy 1.12.0 Release Notes
• NumPy 1.13.0 Release Notes

  ...NumPy 1.13.0 Release Notes This release supports Python 2.7 and 3.4 - 3.6. Highlights Operations like a + b + c will reuse temporaries on some platforms, resulting in less memory use and faster execution. I...

• NumPy 1.14.0 Release Notes
• NumPy 1.15.0 Release Notes

  ...atus_barrier and npy_clear_floatstatus_barrier have been added to deal with compiler optimization changing the order of operations. See below for details. Deprecations Aliases of builtin pickle functions are deprecated, in favor of the...

• NumPy 1.16.0 Release Notes
• NumPy 1.19.0 Release Notes
• NumPy 1.20.0 Release Notes
• NumPy 1.22.0 Release Notes
• NumPy 1.23.0 Release Notes
• NumPy 1.24 Release Notes
• NumPy 1.25.0 Release Notes
• NumPy 1.9.0 Release Notes
• NumPy 2.0 migration guide
• NumPy 2.0.0 Release Notes
• NumPy quickstart
• numpy.strings.add
• numpy.strings.equal
• numpy.strings.greater
• numpy.strings.greater_equal
• numpy.strings.less
• numpy.strings.less_equal
• numpy.strings.not_equal
• NumPy: the absolute basics for beginners
• String functionality
• The N-dimensional array (ndarray)