从列名列表中删除 Pandas 数据框中列的快速方法是什么
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what is the fast way to drop columns in pandas dataframe from a list of column names
提问by lrn2code
I'm trying to figure out the fastest way to drop columns in df using a list of column names. this is a fancy feature reduction technique. This is what I am using now, and it is taking forever. Any suggestions are highly appreciated.
我试图找出使用列名列表删除 df 列的最快方法。这是一种奇特的特征减少技术。这就是我现在正在使用的，并且需要永远。任何建议都非常感谢。
important2=(important[:-(len(important)-500)])
for i in important:
if i in important2:
pass
else:
df_reduced.drop(i, axis=1, inplace=True)
df_reduced.head()
回答by ??????
use a listcontaining the columns to be dropped:
使用list包含要删除的列：
good_bye_list = ['column_1', 'column_2', 'column_3']
df_reduced.drop(good_bye_list, axis=1, inplace=True)
