Drop a column from dataframe

#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True)

Source: stackoverflow.com

Df drop column

df = df.drop(['B', 'C'], axis=1)

Source: pandas.pydata.org

Drop a column in pandas

note: df is your dataframe

df = df.drop('coloum_name',axis=1)

Python how to drop columns from dataframe

# When you have many columns, and only want to keep a few:
# drop columns which are not needed.

# df = pandas.Dataframe()
columnsToKeep = ['column_1', 'column_13', 'column_99']
df_subset = df[columnsToKeep]

# Or:
df = df[columnsToKeep]

Remove columns from dataframe

df.drop('col_name',1) #1 drop column / 0 drop row

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

-1

Source: stackoverflow.com

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