numpy.array_equal()

numpy.array_equal(a1, a2) [source]

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

Parameters:

Parameters:	a1, a2 : array_like Input arrays.
Returns:	b : bool Returns True if the arrays are equal.

a1, a2 : array_like

Input arrays.

Returns:

b : bool

Returns True if the arrays are 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

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.array_equal.html

doc_NumPy

2025-01-10 15:47:30

Comments

Popular Articles

numpy.testing.assert_array_equal() numpy.testing.assert_array_equal(x, y, err_msg='', verbose=True) [source] Raises an AssertionError if two array_like objects are not equal. Given

numpy.array() numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) Create an array. Parameters: object : array_like An array, any obj

numpy.array_equiv() numpy.array_equiv(a1, a2) [source] Returns True if input arrays are shape consistent and all elements equal. Shape consistent means they are eith

numpy.array_repr() numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None) [source] Return the string representation of an array. Parameters

numpy.array_str() numpy.array_str(a, max_line_width=None, precision=None, suppress_small=None) [source] Return a string representation of the data in an array. The