I think the title is enough for what is my problem here. I have 100 tickers in a folder. I got all csv files to one list. but I wanna see the tickers name which these are csv file names. enter image description here

what should I do for getting all tickers like that. I'm doing it manually but I need a simple way to do that.

import pandas as pd
import os

#BİST100-2010.01.01-2020.07.01/ is my folder.
log_total = []
for file in os.listdir('BİST100-2010.01.01-2020.07.01/'):

by the way after I do that I got this.

enter image description here

  • $\begingroup$ pd.DataFrame(log_total) ? if it doesnt work create an empty dataframe and concatenate. If it doesn't work maybe try to build the csv directly on multiple ticker... $\endgroup$ Oct 22, 2021 at 12:59

1 Answer 1


How do you get to the second picture from that code? I wil give you rough set of steps to follow along with the main function names. you can search through the pandas documentation for more details.

  1. initialise some empty lists: ticker_names=[] dataframes=[]
  2. Loop over the files and read them using df = pd.read_csv(file_name)
  3. Take just the Close column of each single ticker's dataframe: df = df["Close"]
  4. Keep track of the tickers' names in a list: ticker_names.append(ticker)
  5. Bring them all together into one dataframe: final_df = pd.concat(dataframes, left_index=True, right_index=True). We uses the indices because you have date-time index values, and we want to keep them all.
  6. Then give each column the correct name: final_df.columns = ticker_names

You can play around with each of these steps, and I would suggest looking at the **pd.merge** documentation.


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