From your example, it looks like you need to do some column renaming in addition to the merge . This is easiest done before the merge itself.
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in files[1:]: df = df.merge(pd.read_csv(f, **kwargs), how='outer') return
Let's import each of our files and combine them into one file. Panda's concat and append can do this for us. I'm going to use append in this ...
import pandas as pd pd.concat([ pd.read_csv('file1.csv',skiprows=1
frames = [ process_your_file(f) for f in files ] result = pd. concat(frames)
This article describes how to use pandas to read in multiple Excel tabs and combine into a single dataframe.
In this tutorial, we walk through several methods of combining data tables
join() , and df.concat() methods help in joining, merging and concating different dataframe. Concatenating DataFrame. In order to concat ...
We often need to combine these files into a single DataFrame to analyze the data . The pandas package provides various methods for combining DataFrames including merge and concat .