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__init__.py
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__pycache__
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_dummy.cpython-36m-x86_64-linux-gnu.so
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_internal.py
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_methods.py
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arrayprint.py
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cversions.py
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defchararray.py
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einsumfunc.py
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fromnumeric.py
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function_base.py
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generate_numpy_api.py
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getlimits.py
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include
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info.py
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lib
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machar.py
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memmap.py
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multiarray.cpython-36m-x86_64-linux-gnu.so
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multiarray_tests.cpython-36m-x86_64-linux-gnu.so
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numeric.py
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numerictypes.py
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operand_flag_tests.cpython-36m-x86_64-linux-gnu.so
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records.py
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setup.py
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setup_common.py
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shape_base.py
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struct_ufunc_test.cpython-36m-x86_64-linux-gnu.so
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test_rational.cpython-36m-x86_64-linux-gnu.so
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tests
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umath.cpython-36m-x86_64-linux-gnu.so
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umath_tests.cpython-36m-x86_64-linux-gnu.so
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Editing: info.py
Close
"""Defines a multi-dimensional array and useful procedures for Numerical computation. Functions - array - NumPy Array construction - zeros - Return an array of all zeros - empty - Return an uninitialized array - shape - Return shape of sequence or array - rank - Return number of dimensions - size - Return number of elements in entire array or a certain dimension - fromstring - Construct array from (byte) string - take - Select sub-arrays using sequence of indices - put - Set sub-arrays using sequence of 1-D indices - putmask - Set portion of arrays using a mask - reshape - Return array with new shape - repeat - Repeat elements of array - choose - Construct new array from indexed array tuple - correlate - Correlate two 1-d arrays - searchsorted - Search for element in 1-d array - sum - Total sum over a specified dimension - average - Average, possibly weighted, over axis or array. - cumsum - Cumulative sum over a specified dimension - product - Total product over a specified dimension - cumproduct - Cumulative product over a specified dimension - alltrue - Logical and over an entire axis - sometrue - Logical or over an entire axis - allclose - Tests if sequences are essentially equal More Functions: - arange - Return regularly spaced array - asarray - Guarantee NumPy array - convolve - Convolve two 1-d arrays - swapaxes - Exchange axes - concatenate - Join arrays together - transpose - Permute axes - sort - Sort elements of array - argsort - Indices of sorted array - argmax - Index of largest value - argmin - Index of smallest value - inner - Innerproduct of two arrays - dot - Dot product (matrix multiplication) - outer - Outerproduct of two arrays - resize - Return array with arbitrary new shape - indices - Tuple of indices - fromfunction - Construct array from universal function - diagonal - Return diagonal array - trace - Trace of array - dump - Dump array to file object (pickle) - dumps - Return pickled string representing data - load - Return array stored in file object - loads - Return array from pickled string - ravel - Return array as 1-D - nonzero - Indices of nonzero elements for 1-D array - shape - Shape of array - where - Construct array from binary result - compress - Elements of array where condition is true - clip - Clip array between two values - ones - Array of all ones - identity - 2-D identity array (matrix) (Universal) Math Functions add logical_or exp subtract logical_xor log multiply logical_not log10 divide maximum sin divide_safe minimum sinh conjugate bitwise_and sqrt power bitwise_or tan absolute bitwise_xor tanh negative invert ceil greater left_shift fabs greater_equal right_shift floor less arccos arctan2 less_equal arcsin fmod equal arctan hypot not_equal cos around logical_and cosh sign arccosh arcsinh arctanh """ from __future__ import division, absolute_import, print_function depends = ['testing'] global_symbols = ['*']