NumPy
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Accessing a value in a 2D arrayAccessing columns of a 2D arrayAccessing rows of a 2D arrayCalculating the determinant of a matrixChecking allowed values for a NumPy data typeChecking if a NumPy array is a view or copyChecking the version of NumPyChecking whether a NumPy array contains a given rowComputing Euclidean distance using NumpyConcatenating 1D arraysConverting array to lowercaseConverting type of NumPy array to stringCreating a copy of an arrayDifference between Python List and Numpy arrayDifference between the methods array_equal and array_equivDifference between the methods mod and fmodDifference between the methods power and float_powerFinding the closest value in an arrayFinding the Index of Largest Value in a Numpy ArrayFinding the Index of Smallest Value in a Numpy ArrayFinding the most frequent value in a NumPy arrayFlattening Numpy arraysGetting constant PiGetting elements from a two dimensional array using two dimensional array of indicesGetting indices of N maximum valuesGetting indices of N minimum valuesGetting the number of columns of a 2D arrayGetting the number of non-zero elements in a NumPy arrayGetting the number of rows of a 2D arrayInitializing an array of onesInitializing an array of zerosInitializing an identity matrixLimiting array values to a certain rangePerforming linear regressionPrinting full or truncated NumPy arrayPrinting large Numpy arrays without truncationRemoving rows containing NaN in a NumPy arrayReversing a NumPy arraySaving NumPy array to a fileShape of Numpy ArraysSorting value of one array according to anotherSuppressing scientific notation
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Difference between the methods array_equal and array_equiv in NumPy
schedule Aug 10, 2023
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Both methods array_equal(~) and array_equiv(~) are similar in that they both return a single Boolean when all the elements in the given arrays are equal pair-wise.
The key difference is that array_equal returns True when the shape of the arrays exactly match, whereas array_equiv will also return True if the one array can be broadcasted to take on the same shape.
Here's an example:
Related
NumPy | array_equal method
Numpy's array_equal(~) takes in two arrays and returns True if they have the same shape and elements.
NumPy | array_equiv method
Numpy's array_equiv(~) takes in two arrays and returns True if they have consistent shape and the same elements.
Published by Isshin Inada
Edited by 0 others
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