NumPy NumPy参考

• 数组对象
• 常数
• 通用功能（ufunc）
• 例行程序
•    数组创建例程
•    数组操作例程
•    Binary operations
•    String operations
•    C-Types Foreign Function Interface (numpy.ctypeslib)
•    Datetime Support Functions
•    Data type routines
•    Optionally Scipy-accelerated routines (numpy.dual)
•    Mathematical functions with automatic domain (numpy.emath)
•    Floating point error handling
•    Discrete Fourier Transform (numpy.fft)
•    Financial functions
•    Functional programming
•    NumPy-specific help functions
•    Indexing routines
•    输入输出
•    线性代数（numpy.linalg）
•    逻辑功能
•    Mathematical functions
•    Matrix library (numpy.matlib)
•    Miscellaneous routines
•    Padding Arrays
•    Polynomials
•    Random sampling (numpy.random)
•    Set routines
•    Sorting, searching, and counting
•    Statistics
•    Test Support (numpy.testing)
•          numpy.testing.assert_almost_equal
•          numpy.testing.assert_approx_equal
•          numpy.testing.assert_array_almost_equal
•          numpy.testing.assert_allclose
•          numpy.testing.assert_array_almost_equal_nulp
•          numpy.testing.assert_array_max_ulp
•          numpy.testing.assert_array_equal
•          numpy.testing.assert_array_less
•          numpy.testing.assert_equal
•          numpy.testing.assert_raises
•          numpy.testing.assert_raises_regex
•          numpy.testing.assert_warns
•          numpy.testing.assert_string_equal
•          numpy.testing.dec.deprecated
•          numpy.testing.dec.knownfailureif
•          numpy.testing.dec.setastest
•          numpy.testing.dec.skipif
•          numpy.testing.dec.slow
•          numpy.testing.decorate_methods
•          numpy.testing.Tester
•          numpy.testing.run_module_suite
•          numpy.testing.rundocs
•          numpy.testing.suppress_warnings
•          Testing Guidelines
•    Window functions
• Packaging (numpy.distutils)
• NumPy Distutils - Users Guide
• NumPy C-API
• NumPy内部
• NumPy和SWIG

numpy.testing.rundocs(filename=None, raise_on_error=True)[source]¶

Run doctests found in the given file.

By default rundocs raises an AssertionError on failure.

Parameters

filenamestr

The path to the file for which the doctests are run.

raise_on_errorbool

Whether to raise an AssertionError when a doctest fails. Default is True.

Notes

The doctests can be run by the user/developer by adding the doctests argument to the test() call. For example, to run all tests (including doctests) for numpy.lib:

>>> np.lib.test(doctests=True)