Answers for "dataframe drop column names"

8

drop a column from dataframe

#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True)
Posted by: Guest on August-25-2020
3

drop a column from dataframe

#working with "text" syntax for the columns:
df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)
Posted by: Guest on August-25-2020
0

remove a columns in pandas

DataFrame.drop(self, labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')[source]
Posted by: Guest on May-31-2020
-2

drop a column from dataframe

#to drop by column number instead of by column label, try this to delete, e.g. the 1st, 2nd and 4th columns
df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index
Posted by: Guest on August-25-2020

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