Upuść kolumnę z DataFrame
#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True)
Desert Trap
#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True) df = df[df['EPS'].notna()]# Let df be a dataframe
# Let new_df be a dataframe after dropping a column
new_df = df.drop(labels='column_name', axis=1)
# Or if you don't want to change the name of the dataframe
df = df.drop(labels='column_name', axis=1)
# Or to remove several columns
df = df.drop(['list_of_column_names'], axis=1)
# axis=0 for 'rows' and axis=1 for columnsdf.drop('column_name', axis=1, inplace=True)note: df is your dataframe
df = df.drop('coloum_name',axis=1)df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.Index