pandas drop columns by index code example

Example 1: how to drop the index column in pandas

df.reset_index(drop=True, inplace=True)

Example 2: 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

Example 3: drop columns pandas

df.drop(columns=['B', 'C'])

Example 4: pandas drop columns by index

cols = [1,2,4,5,12]
df.drop(df.columns[cols],axis=1,inplace=True)

Example 5: drop a column in pandas

note: df is your dataframe

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

Example 6: how to drop a column by name in pandas

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