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