Скачать или смотреть Python numpy How to sort a ndarray based on a row

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NumPy is a powerful library in Python for numerical operations and array manipulation. Sorting a NumPy ndarray based on a specific row involves using the numpy.argsort() and array indexing. This tutorial will guide you through the process of sorting a NumPy array based on a row.
If you haven't installed NumPy yet, you can do so via pip:
Make sure you have NumPy installed before you begin.
First, import the NumPy library to access its functionalities.
Let's create a sample 2D NumPy array that we'll use for sorting based on a specific row.
Now, let's say we want to sort the array based on the first row (axis 1) of the array. We will use the numpy.argsort() function to obtain the indices that would sort the array and then apply these indices to rearrange the rows accordingly.
Here's the complete code example combining all the steps:
This tutorial provides the basics for sorting a NumPy array based on a row. You can modify the code to sort based on different rows by changing the index passed to np.argsort().
Experiment with different arrays and row indices to sort arrays based on your specific requirements.
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