Numpy Shape Function
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Numpy Shape Function
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The Numpy Shape Function Explained Sharp Sight
NumPy arrays have an attribute called shape that returns a tuple with each index having the number of corresponding elements Example Get your own Python Server Print the shape of a 2 D array import numpy as np arr np array 1 2 3 4 5 6 7 8 print arr shape Try it Yourself In NumPy, we will use an attribute called shape which returns a tuple, the elements of the tuple give the lengths of the corresponding array dimensions. Syntax: numpy.shape (array_name) Parameters: Array is passed as a Parameter. Unmute. Return: A tuple whose elements give the lengths of the corresponding array dimensions.
Python Numpy Array Shape
Numpy Shape Function4 Answers. Sorted by: 82. yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; And you can get the (number of) dimensions of your array using yourarray.ndim or np.ndim(). (i.e. it gives the n of the ndarray since all arrays in NumPy are just n-dimensional arrays (shortly called as ndarray s)) Ndarray shape Tuple of array dimensions The shape property is usually used to get the current shape of an array but may also be used to reshape the array in place by assigning a tuple of array dimensions to it
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