swap_rows
- pyhelpers.ops.swap_rows(array, r1, r2, as_list=False)
Swap positions of two rows in an array.
- Parameters:
array (numpy.ndarray) – an array
r1 (int) – index of a row
r2 (int) – index of another row
as_list (bool) – whether to return a list
- Returns:
a new array/list in which the positions of the r1-th and r2-th rows are swapped
- Return type:
numpy.ndarray or list
Examples:
>>> from pyhelpers.ops import swap_rows >>> from pyhelpers._cache import example_dataframe >>> example_arr = example_dataframe(osgb36=True).to_numpy(dtype=int) >>> example_arr array([[406705, 286868], [530039, 180371], [383830, 398113], [430147, 433553]]) >>> # Swap the 0th and 1st rows >>> new_arr = swap_rows(example_arr, r1=0, r2=1) >>> new_arr array([[406705, 286868], [530039, 180371], [383830, 398113], [430147, 433553]]) >>> new_list = swap_rows(example_arr, r1=0, r2=1, as_list=True) >>> new_list [[406705, 286868], [530039, 180371], [383830, 398113], [430147, 433553]]