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This article will explain in detail how to merge and intersect the concat function in pandas. The editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

Merge intersection

In [11]: df3 = pd.DataFrame ([['letter', 3,' cat'], ['dumped, 4,' dog']],...: columns= ['letter',' number'] 'animal']) In [12]: df1Out [12]: letter number0 a 11 b 2In [13]: df3Out [13]: letter number animal0 c 3 cat1 d 4 dogIn [14]: pd.concat ([df1, df3] Join='inner') Out [14]: letter number0 a 11 b 20 c 31 d 4 on "how to merge and intersect concat functions in pandas" ends here Hope that the above content can be helpful to you, so that you can learn more knowledge, if you think the article is good, please share it for more people to see.

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