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

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to convert column with dtype as object to string in Pandas Dataframe in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

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

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

    since strings data types have variable length, it is by default stored as object dtype. If you want to store them as string type, you can do something like this.

  2. convert column with dtype as object to string in Pandas Dataframe

    since strings data types have variable length, it is by default stored as object dtype. If you want to store them as string type, you can do something like this.

Method 1

since strings data types have variable length, it is by default stored as object dtype. If you want to store them as string type, you can do something like this.

df['column'] = df['column'].astype('|S80') #where the max length is set at 80 bytes,

or alternatively

df['column'] = df['column'].astype('|S') # which will by default set the length to the max len it encounters

Method 2

Did you try assigning it back to the column?

df['column'] = df['column'].astype('str') 

Referring to this question, the pandas dataframe stores the pointers to the strings and hence it is of type ‘object’. As per the docs ,You could try:

df['column_new'] = df['column'].str.split(',') 

Conclusion

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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