简体   繁体   中英

Read multiple csv files into separate dataframes using pandas

I like to read two csv files from a particular folder into two separate dataframes.

The two file names are: 23314621_MACI_NAV.CSV and 23314623_MACI_Holding.CSV

The file second part of the file names are fixed MACI_NAV.CSV and MACI_Holding.CSV, however the first part of the file name which are numbers change everyday.

I like to read them into two different dataframe by trying this:

import pandas as pd
import glob

msci_folder = 'N:/Operation/Daily CDS E_Report/CDS/MACI/'
mscifile = glob.glob(msci_folder + "\*.csv")

for file in mscifile:
    df_nav=pd.read_csv(file)
    df_holding=pd.read_csv(file)

It seems like both lines are reading the same file, how do I make them read different files (second file)?

If want create list of DataFrames:

dfs = []
for file in mscifile:
    df = pd.read_csv(file)
    dfs.append(df)

Or use list comprehension:

dfs = [pd.read_csv(file) for file in mscifile]

print (dfs[0])
print (dfs[1])

Another solution is create dictionary of DataFrames with keys by last substring after _ in filename:

from os.path import splitext, basename

dfs = {splitext(basename(fp))[0].split('_')[-1] : pd.read_csv(fp) for fp in mscifile}
print (dfs)

print (dfs['NAV'])
print (dfs['Holding'])

The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM