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)note: df is your dataframe
df = df.drop('coloum_name',axis=1)df = df.drop(['B', 'C'], axis=1)# Dropping a single column
df = pd.DataFrame({"A":[3,4], "B":[5,6], "C":[7,8]})
df_new = df.drop(columns="B")
# Dropping multiple columns
df_new = df.drop(columns=["A","B"])
# Dropping columns in-place
df.drop(columns="B", inplace=True)