14 мая 2012 г. · The (A==B).all() solution is very neat, but there are some built-in functions for this task. Namely array_equal, allclose and array_equiv. How to do element-wise comparison between two NumPy arrays How to compare two numpy arrays with multiple condition Другие результаты с сайта stackoverflow.com

3 февр. 2024 г. · In NumPy, to compare two arrays (ndarray) element-wise, use comparison operators such as > or ==, which return a Boolean ndarray.

Output array, element-wise comparison of x1 and x2. Typically of type bool, unless dtype=object is passed. This is a scalar if both x1 and x2 are scalars.

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.

3 июн. 2022 г. · Method 1: We generally use the == operator to compare two NumPy arrays to generate a new array object.

23 мая 2024 г. · The above code shows how to compare two NumPy arrays element-wise for equality using both the == operator and the np.equal() function. nums1 ...

20 июл. 2023 г. · Another approach to comparing two Numpy arrays is by sorting them and comparing them element−wise using the numpy.array_equiv() function. This ...

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.

7 февр. 2022 г. · To compare two arrays and return the element-wise maximum, use the numpy.fmax() method in Python Numpy. Return value is either True or False ...

20 июн. 2020 г. · I have two 1D numpy arrays full of 1s and 0s, same length as one another. I want to compare the 0th index of first array with the 0th index of the second.