How to realize Matrix Operation by Pandas

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DataFrame.add (other, axis='columns', level=None, fill_value=None)

DataFrame.sub (other, axis='columns', level=None, fill_value=None)

DataFrame.mul (other, axis='columns', level=None, fill_value=None)

DataFrame.div (other, axis='columns', level=None, fill_value=None)

Parameters:

Other: sequence, data box, constant

Axis: {0,1, 'index',' columns'} 0 and index are horizontal operations, 1 and columns are vertical operations

Fill_value: None or floating point, replacing the default

Level: int or name, select a different index. There may be two indexes in a data box.

Return value:

Data frame

Import pandas as pddf = pd.DataFrame ([[1jre 1dje 1], [2pje 2je 2], [3pje 3je 3]], columns= ['Agar,' Bobby,'C']) print (df) A B C011 11 22 22 3 3 3print (df.sub ([1m 2J 3], axis=1)) A B C00-1-21 10-12 21 0print (df.sub) Axis=0) A, B, C, C, Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!