np.sort() do in NumPy?np.sort() sorts the elements of an array in ascending order and returns a new sorted array without changing the original array.
np.sort()?Use np.sort(array, axis=1) to sort each row independently in ascending order.
np.sort() modify the original array?No, np.sort() returns a new sorted array and leaves the original array unchanged.
np.sort() controls the sorting axis?The axis parameter controls which axis to sort along. For example, axis=0 sorts each column, axis=1 sorts each row.
np.sort()?Sort the array in ascending order with np.sort() and then reverse it using slicing: np.sort(array)[::-1].
np.sort() return?np.sort() returns a new sorted array and does not change the original array.
np.sort()?Setting axis=0 sorts each column independently.
np.sort()?NumPy's np.sort() does not have a descending parameter, so you sort ascending then reverse with slicing.
np.sort(array) without axis on a 2D array, what happens?Without specifying axis, the array is flattened to 1D and sorted.
np.sort() change the original array?np.sort() always returns a new sorted array and does not modify the original.
np.sort() to sort a 2D array by rows and by columns.np.sort().