import all csv files in directory as pandas dfs and name them as csv filenames

csv, pandas, python

Solution

`DataFrame` have no `name` their index can have a `name`. This is how to set it.

import glob
import os

path = "./data/"
all_files = glob.glob(os.path.join(path, "*.csv")) #make list of paths

for file in all_files:
    # Getting the file name without extension
    file_name = os.path.splitext(os.path.basename(file))[0]
    # Reading the file content to create a DataFrame
    dfn = pd.read_csv(file)
    # Setting the file name (without extension) as the index name
    dfn.index.name = file_name

# Example showing the Name in the print output

#      FirstYear  LastYear
# Name                     
# 0         1990      2007
# 1         2001      2001
# 2         2001      2008

Problem

I'm trying to write a script that will import all .csv files in a directory to my workspace as dataframes. Each dataframe should be named as the csv file (minus the extension: .csv). This is what i have so far, but struggling to understand how to assign the correct name to the dataframe in the loop. I've seen posts that suggest using `exec()` but this does not seem like a great solution. ``` path = "../3_Data/Benefits" # dir path all_files = glob.glob(os.path.join(path, "*.csv")) #make list of paths for file in all_files: dfn = file.split('\\')[-1].split('.')[0] # create string for df name dfn = pd.read_csv(file,skiprows=5) # This line should assign to the value stored in dfn ``` Any help appreciated, thanks.

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