Pandas - Remove special characters from column names Last Updated : 05 Sep, 2020 Comments Improve Suggest changes Like Article Like Report Let us see how to remove special characters like #, @, &, etc. from column names in the pandas data frame. Here we will use replace function for removing special character. Example 1: remove a special character from column names Python # import pandas import pandas as pd # create data frame Data = {'Name#': ['Mukul', 'Rohan', 'Mayank', 'Shubham', 'Aakash'], 'Location': ['Saharanpur', 'Meerut', 'Agra', 'Saharanpur', 'Meerut'], 'Pay': [25000, 30000, 35000, 40000, 45000]} df = pd.DataFrame(Data) # print original data frame print(df) # remove special character df.columns = df.columns.str.replace('[#,@,&]', '') # print file after removing special character print("\n\n", df) Output: Here, we have successfully remove a special character from the column names. Now we will use a list with replace function for removing multiple special characters from our column names. Example 2: remove multiple special characters from the pandas data frame Python # import pandas import pandas as pd # create data frame Data = {'Name#': ['Mukul', 'Rohan', 'Mayank', 'Shubham', 'Aakash'], 'Location@' : ['Saharanpur', 'Meerut', 'Agra', 'Saharanpur', 'Meerut'], 'Pay&' : [25000,30000,35000,40000,45000]} df=pd.DataFrame(Data) # print original data frame print(df) # remove special character df.columns=df.columns.str.replace('[#,@,&]','') # print file after removing special character print("\n\n" , df) Output: Comment More infoAdvertise with us Next Article Python Introduction M mukulsomukesh Follow Improve Article Tags : Python Python-pandas Practice Tags : python Similar Reads Python Tutorial - Learn Python Programming Language Python is one of the most popular programming languages. 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