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 columnsnote: df is your dataframe
df = df.drop('coloum_name',axis=1)df.drop('column_name', axis=1, inplace=True)
#no need to reasign df
#axis 1 is columns, 0 is rowsdf = df.drop(['B', 'C'], axis=1)In [212]:
df = pd.DataFrame(np.random.randint(0, 2, (10, 4)), columns=list('abcd'))
df.apply(pd.Series.value_counts)
Out[212]:
a b c d
0 4 6 4 3
1 6 4 6 7