Numpy operates two-dimensional arrays sorted by rows and columns

This time I will bring you numpy operationsTwo-dimensional arraysSort by rows and columns, numpy operates two-dimensional arrays by rows and rowsWhat are the precautionsWhat are the practical cases? Get up and take a look.

How to sort according to a certain row or column in a two-dimensional array? Assume that data is a two-dimensional array of type numpy.array, which can be implemented using the argsort function in numpy. The code example is as follows:

data = data[data[:,2].argsort()] #按照第3列对行排序

Note: argsort returns only the sorted rows index and will not change the original array. To sort according to a certain row, you can use the transpose operation.

The code is as follows:

data = data.T(data.T[:,2].argsort()).T # 按照第3行对列进行排序

Also Sort directly by row,

The code is as follows:

data = data[:,data[2].argsort()]

I believe you have mastered the method after reading the case in this article. For more exciting information, please pay attention to other related articles on the PHP Chinese website !

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