Lassen Sie eine Spalte aus dem DataFrame fallen
#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) # 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)df.drop('column_name', axis=1, inplace=True)
#no need to reasign df
#axis 1 is columns, 0 is rowsnote: df is your dataframe
df = df.drop('coloum_name',axis=1)# axis=1 tells Python that we want to apply function on columns instead of rows
# To delete the column permanently from original dataframe df, we can use the option inplace=True
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)