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sure! sorting numpy arrays by row and column can be done using the `numpy.argsort` function. this function returns the indices that would sort an array along a specified axis. by using these indices, we can sort the array accordingly.

here's a step-by-step guide to sorting numpy arrays by row and column using `numpy.argsort`:

1. **sorting by row**:
to sort a numpy array along the rows, we need to specify `axis=1` in the `numpy.argsort` function. this will return the indices that would sort each row independently.



2. **sorting by column**:
to sort a numpy array along the columns, we need to specify `axis=0` in the `numpy.argsort` function. this will return the indices that would sort each column independently.



in both cases, we first get the indices that would sort the array along the specified axis using `numpy.argsort`, and then use these indices to rearrange the array accordingly.

i hope this tutorial helps you understand how to sort numpy arrays by row and column using `numpy.argsort`! let me know if you have any questions.

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