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How can I concat multiple dataframes in Python?

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How can I concat multiple dataframes in Python in Python. So Here I am Explain to you all the possible Methods here.

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Table of Contents

How can I concat multiple dataframes in Python?

  1. How can I concat multiple dataframes in Python?

    I think you can just put it into a list, and then concat the list. In Pandas, the chunk function kind of already does this. I personally do this when using the chunk function in pandas.

  2. I concat multiple dataframes in Python

    I think you can just put it into a list, and then concat the list. In Pandas, the chunk function kind of already does this. I personally do this when using the chunk function in pandas.

Method 1

I think you can just put it into a list, and then concat the list. In Pandas, the chunk function kind of already does this. I personally do this when using the chunk function in pandas.

pdList = [df1, df2, ...]  # List of your dataframes
new_df = pd.concat(pdList)

To create the pdList automatically assuming your dfs always start with “cluster”.

pdList = []
pdList.extend(value for name, value in locals().items() if name.startswith('cluster_'))

Method 2

Generally it goes like:

frames = [df1, df2, df3]
result = pd.concat(frames)

Note: It will reset the index automatically. Read more details on different types of merging here.

For a large number of data frames: If you have hundreds of data frames, depending one if you have in on disk or in memory you can still create a list (“frames” in the code snippet) using a for a loop. If you have it in the disk, it can be easily done just saving all the df’s in one single folder then reading all the files from that folder.

If you are generating the df’s in memory, maybe try saving it in .pkl first.

Summery

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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