PYTHON

drop multiple columns pandas

yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)

drop multiple columns in python

dataframe.drop(['columnname1', 'columnname2'], axis=1, inplace=True)

Drop multiple columns by name

import pandas as pd

# create a sample dataframe
data = {
    'A': ['a1', 'a2', 'a3'],
    'B': ['b1', 'b2', 'b3'],
    'C': ['c1', 'c2', 'c3'],
    'D': ['d1', 'd2', 'd3']
}

df = pd.DataFrame(data)

# print the dataframe
print("Original Dataframe:
")
print(df)

# remove columns C and D
df = df.drop(['C', 'D'], axis=1)

print("
After dropping columns C and D:
")
print(df)