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python - Read in multiple csv into separate dataframes in Pandas

I have a long list of csv files that I want to read as dataframes and name them by their file name. For example, I want to read in the file status.csv and assign its dataframe the name status. Is there a way I can efficiently do this using Pandas?

Looking at this, I still have to write the name of each csv in my loop. I want to avoid that.

Looking at this, that allows me to read multiple csv into one dataframe instead of many.

See Question&Answers more detail:os

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You can list all csv under a directory using os.listdir(dirname) and combine it with os.path.basename to parse the file name.

import os

# current directory csv files
csvs = [x for x in os.listdir('.') if x.endswith('.csv')]
# stats.csv -> stats
fns = [os.path.splitext(os.path.basename(x))[0] for x in csvs]

d = {}
for i in range(len(fns)):
    d[fns[i]] = pd.read_csv(csvs[i])

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