Replace NaN with Blank or Empty String in Pandas? Last Updated : 23 Apr, 2023 Comments Improve Suggest changes Like Article Like Report In this article, we will discuss how to replace NaN with Blank or Empty string in Pandas. Example: Input: "name": ['suraj', 'NaN', 'harsha', 'NaN'] Output: "name": ['sravan', , 'harsha', ' '] Explanation: Here, we replaced NaN with empty string.Replace NaN with Empty String using replace() We can replace the NaN with an empty string using df.replace() function. This function will replace an empty string inplace of the NaN value. Python3 # import pandas module import pandas as pd # import numpy module import numpy as np # create dataframe with 3 columns data = pd.DataFrame({ "name": ['sravan', np.nan, 'harsha', 'ramya'], "subjects": [np.nan, 'java', np.nan, 'html/php'], "marks": [98, np.nan, np.nan, np.nan] }) # replace nan with empty string # using replace() function data.replace(np.nan, '') Output: Replace NaN with Blank String using fillna() The fillna() is used to replace multiple columns of NaN values with an empty string. we can also use fillna() directly without specifying columns. Example 1: Multiple Columns Replace Empty String without specifying columns name. Python3 # import pandas module import pandas as pd # import numpy module import numpy as np # create dataframe with 3 columns data = pd.DataFrame({ "name": ['sravan', np.nan, 'harsha', 'ramya'], "subjects": [np.nan, 'java', np.nan, 'html/php'], "marks": [98, np.nan, np.nan, np.nan] }) # replace nan with empty string # using fillna() function data.fillna('') Output: Example 2: Multiple Columns Replace Empty String by specifying column name. Python3 # import pandas module import pandas as pd # import numpy module import numpy as np # create dataframe with 3 columns data = pd.DataFrame({ "name": ['sravan', np.nan, 'harsha', 'ramya'], "subjects": [np.nan, 'java', np.nan, 'html/php'], "marks": [98, np.nan, np.nan, np.nan] }) # replace nan with empty string # using fillna() function data[['name', 'subjects', 'marks']].fillna('') Output: RECOMMENDED ARTICLES - Check for NaN in Pandas DataFrame Comment More infoAdvertise with us Next Article Replace NaN with Blank or Empty String in Pandas? sravankumar_171fa07058 Follow Improve Article Tags : Python Python-pandas Python pandas-dataFrame pandas-dataframe-program Practice Tags : python Similar Reads Python Tutorial | Learn Python Programming Language Python Tutorial – Python is one of the most popular programming languages. It’s simple to use, packed with features and supported by a wide range of libraries and frameworks. 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