How to Manipulate Strings in Pandas?
Pandas Library provides multiple methods that can be used to manipulate string according to the required output. But first, let’s create a Pandas dataframe.
“Pandas” library provides a “.str()” method that can be used to create any data of the data frame into a string, After that any string operation defined in python documentation or in this article can be used on that data.
Below is the code that illustrates some examples
0 False 1 False 2 False 3 True Name: FirstName, dtype: bool 0 False 1 True 2 True 3 False Name: LastName, dtype: bool 0 [ABC, KUMAR] 1 [BCD] 2 [CDE, KUMAR] 3 [DEF] Name: FirstName, dtype: object 0 3 1 3 2 3 3 4 Name: LastName, dtype: int64 0 Xyz 1 Xxy 2 Zxx 3 Xyzz Name: LastName, dtype: object 0 XYZ 1 XXY 2 ZXX 3 XYZZ Name: LastName, dtype: object 0 xyz 1 xxy 2 zxx 3 xyzz Name: LastName, dtype: object
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