import pandas as pd employees = [ ['Robin', 30, 'SOS', 'India'], ['Rick', 28, 'PSA', 'US'], ['Tony Stark', 32, 'COS', 'US'] ] # create dataframe df = pd.DataFrame(employees, columns=['Name', 'Age', 'Dept', 'Country']) # check if column exist in the dataframe if 'Age' in df.columns: print("Coumn exists in the DataFrame") else: print("Column does not exist in the DataFrame")
If you want to check whether a column exists in a Pandas DataFrame or not then you can use the methods explained in this post.
We are using the "in" keyword to check that. Below is the example to understand it..
"column_name" in df
Or we can use
"column_name" in df.columns