shu10038 https://blog.hatena.ne.jp/shu10038/ Research Note！！ https://publicjournal.hatenablog.com/ Python3.X In [11]: import pandas as pd In [12]: import numpy as np In [13]: df = pd.DataFrame(np.array([[1,1,1,1],[1,'A',1,'B'],[1,'A',1,'B'],[1,1,1,'B']]), columns=['C1','C2','C3','C4']) In [14]: df[df['C2']=='A'][['C2','C4']] Out[14]: C2 C4 1 A B 2 A B 190 <iframe src="https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpublicjournal.hatenablog.com%2Fentry%2F2017%2F01%2F20%2F223202" title="Python,Pandas:データフレーム操作 - Research Note！！" class="embed-card embed-blogcard" scrolling="no" frameborder="0" style="display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;"></iframe> Hatena Blog https://hatena.blog 2017-01-20 22:32:02 rich https://publicjournal.hatenablog.com/entry/2017/01/20/223202 1.0 100%