Loading multiple csv files of a folder into one dataframe

Question

i have multiple csv files saved in one folder with the same column layout and want to load it into python as a dataframe in pandas.

The question is really simliar to this thread.

I am using the following code:

import glob
import pandas as pd
salesdata = pd.DataFrame()
for f in glob.glob("TransactionData\Promorelevant\*.csv"):
    appenddata = pd.read_csv(f, header=None, sep=";")
    salesdata = salesdata.append(appenddata,ignore_index=True)

Is there a better solution for it with another package?

This is taking to much time.

Thanks

Answer 1

I suggest use list comprehension with concat:

import glob
import pandas as pd

files = glob.glob("TransactionData\Promorelevant*.csv")
dfs = [pd.read_csv(f, header=None, sep=";") for f in files]

salesdata = pd.concat(dfs,ignore_index=True)