How to convert column with dtype as object to string in Pandas Dataframe

Michael Zippo

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When I read a csv file to pandas dataframe, each column is cast to its own datatypes. I have a column that was converted to an object. I want to perform string operations for this column such as splitting the values and creating a list. But no such operation is possible because its dtype is object. Can anyone please let me know the way to convert all the items of a column to strings instead of objects?

I tried several ways but nothing worked. I used astype, str(), to_string etc.

a=lambda x: str(x).split(",")
df["column"].apply(a)

or

df["column"].astype(str)

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Carlo Chamberlet

Moscow | 2023-01-31

I was preparing for my coding interview, thanks for clarifying this - How to convert column with dtype as object to string in Pandas Dataframe in Python is not the simplest one. Will use it in my bachelor thesis

Xu Richtgofen

Singapore | 2023-01-31

Simply put and clear. Thank you for sharing. How to convert column with dtype as object to string in Pandas Dataframe and other issues with string Python module was always my weak point 😁. Checked yesterday, it works!

Walter OConnell

Warsaw | 2023-01-31

Thanks for explaining! I was stuck with How to convert column with dtype as object to string in Pandas Dataframe for some hours, finally got it done 🤗. Will use it in my bachelor thesis