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How to combine multiple CSV files into one using Pandas in Python? You have been given a folder named xrd_data. There are a seven #

How to combine multiple CSV files into one using Pandas in Python?

You have been given a folder named "xrd_data". There are a seven # different CSV files with XRD measurements in this folder. Combine all # these into 1 single XRD file. The first column should have 2theta # values. The rest should be XRD signals. Name the Columns based on the # input files. Please name you columns so they can be tracked back to # the original file. For example, the first XRD signal from the # "tioga1_0-8.csv" file could be "0-8, 1". The second signal could be # "0-8, 2", etc.

# >>>print(df_combined_XRDs.columns) # ["0-8, 1", "0-8, 2", "0-8, 3" ..., "90-120, 5"] # # Save this combined csv as "combined_XRDs.csv" in the "HW4" folder. # Do not save the index into the CSV.

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