Answers for "how to drop a column in pandas dataframe"

drop a column pandas

df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)

python code to drop columns from dataframe

# 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 columns

drop a column in pandas

note: df is your dataframe

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

pandas dataframe delete column

del df['column_name']

remove columns from a dataframe python

df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index

pandas drop column in dataframe

>>> df.drop(['B', 'C'], axis=1)
   A   D
0  0   3
1  4   7
2  8  11