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

Pandas: DataFrame Exercise-46 with Solution

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.                

Python Code Editor:


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Previous: Write a Pandas program to find the row for where the value of a given column is maximal.
Next: Write a Pandas program to get the specified  row value of a given DataFrame.

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Python: Tips of the Day

Creates a dictionary with the same keys as the provided dictionary and values generated by running the provided function for each value

Example:

def tips_map_values(obj, fn):
  ret = {}
  for key in obj.keys():
    ret[key] = fn(obj[key])
  return ret
users = {
  'Owen': { 'user': 'Owen', 'age': 29 },
  'Eddie': { 'user': 'Eddie', 'age': 15 }
}

print(tips_map_values(users, lambda u : u['age'])) # {'Owen': 29, 'Eddie': 15}

Output:

{'Owen': 29, 'Eddie': 15}