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>>> arr = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]]) >>> arr array([[ 1, 2, 3, 4], [ 5, 6, 7, 8], [ 9, 10, 11, 12]]) I am deleting the 3rd column as
>>> np.hstack(((np.delete(arr, np.s_[2:], 1)),(np.delete(arr, np.s_[:3],1)))) array([[ 1, 2, 4], [ 5, 6, 8], [ 9, 10, 12]]) Are there any better way ? Please consider this to be a novice question.
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To remove an element from a NumPy array: Specify the index of the element to remove. Call the numpy. delete() function on the array for the given index.
Delete a column in 2D Numpy Array by column number To delete a column from a 2D numpy array using np. delete() we need to pass the axis=1 along with numpy array and index of column i.e.
The numpy. delete() function returns a new array with the deletion of sub-arrays along with the mentioned axis. Return : An array with sub-array being deleted as per the mentioned object along a given axis.
delete() – The numpy. delete() is a function in Python which returns a new array with the deletion of sub-arrays along with the mentioned axis. By keeping the value of the axis as zero, there are two possible ways to delete multiple rows using numphy. delete().
If you ever want to delete more than one columns, you just pass indices of columns you want deleted as a list, like this:
>>> a = np.arange(12).reshape(3,4) >>> a array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> np.delete(a, [1,3], axis=1) array([[ 0, 2], [ 4, 6], [ 8, 10]]) 
>>> import numpy as np >>> arr = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]]) >>> np.delete(arr, 2, axis=1) array([[ 1, 2, 4], [ 5, 6, 8], [ 9, 10, 12]]) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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