Pandas: Check whether a given column is present in a DataFrame or not

Last update on December 21 2024 07:42:09 (UTC/GMT +8 hours)

Write a Pandas program to check whether a given column is present in a DataFrame or not.

Sample Solution :

Python Code :

import pandas as pd
d = {'col1': [1, 2, 3, 4, 7], 'col2': [4, 5, 6, 9, 5], 'col3': [7, 8, 12, 1, 11]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
if 'col4' in df.columns:
  print("Col4 is present in DataFrame.")
else:
  print("Col4 is not present in DataFrame.")
if 'col1' in df.columns:
  print("Col1 is present in DataFrame.")
else:
  print("Col1 is not present in DataFrame.")

Sample Output:

Original DataFrame
   col1  col2  col3
0     1     4     7
1     2     5     8
2     3     6    12
3     4     9     1
4     7     5    11
Col4 is not present in DataFrame.
Col1 is present in DataFrame.                

Explanation:

The above code first creates a Pandas DataFrame ‘df’ with three columns named col1, col2, and col3 and five rows of data.

The code then checks if the column 'col4' is present in the DataFrame using the in operator with the columns attribute of the DataFrame. Since 'col4' is not one of the DataFrame columns, the output will be "Col4 is not present in DataFrame."

Next, the code checks if the column 'col1' is present in the DataFrame. Since 'col1' is one of the DataFrame columns, the output will be "Col1 is present in DataFrame."

Python-Pandas Code Editor:

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