Replace Empty String With Null Python
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Replace Empty String With Null Python
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March 3 2022 by Zach Pandas How to Replace Empty Strings with NaN You can use the following syntax to replace empty strings with NaN values in pandas df df replace r s np nan regex True The following example shows how to use this syntax in practice Related How to Replace NaN Values with String in Pandas The most basic way to replace a string in Python is to use the .replace () string method: Python >>> "Fake Python".replace("Fake", "Real") 'Real Python' As you can see, you can chain .replace () onto any string and provide the method with two arguments. The first is the string that you want to replace, and the second is the replacement.
Replace Empty String With Null PythonMethod #1 : Using lambda This task can be performed using the lambda function. In this we check for string for None or empty string using the or operator and replace the empty string with None. Python3 test_list = ["Geeks", '', "CS", '', ''] print("The original list is : " + str(test_list)) conv = lambda i : i or None Using replace method you can also replace empty string or blank values to a NaN on a single selected column Replace on single column df2 df Courses replace np nan regex True print After replacing blank values with NaN n df2 Yields below output