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Module « numpy »

Fonction array_equal - module numpy

Signature de la fonction array_equal

def array_equal(a1, a2, equal_nan=False) 

Description

help(numpy.array_equal)

True if two arrays have the same shape and elements, False otherwise.

Parameters
----------
a1, a2 : array_like
    Input arrays.
equal_nan : bool
    Whether to compare NaN's as equal. If the dtype of a1 and a2 is
    complex, values will be considered equal if either the real or the
    imaginary component of a given value is ``nan``.

Returns
-------
b : bool
    Returns True if the arrays are equal.

See Also
--------
allclose: Returns True if two arrays are element-wise equal within a
          tolerance.
array_equiv: Returns True if input arrays are shape consistent and all
             elements equal.

Examples
--------
>>> import numpy as np

>>> np.array_equal([1, 2], [1, 2])
True

>>> np.array_equal(np.array([1, 2]), np.array([1, 2]))
True

>>> np.array_equal([1, 2], [1, 2, 3])
False

>>> np.array_equal([1, 2], [1, 4])
False

>>> a = np.array([1, np.nan])
>>> np.array_equal(a, a)
False

>>> np.array_equal(a, a, equal_nan=True)
True

When ``equal_nan`` is True, complex values with nan components are
considered equal if either the real *or* the imaginary components are nan.

>>> a = np.array([1 + 1j])
>>> b = a.copy()
>>> a.real = np.nan
>>> b.imag = np.nan
>>> np.array_equal(a, b, equal_nan=True)
True

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