How to use Glob with Pandas to loop through a folder of CSVs?

Question

I have a set of CSVs in a folder that I am trying to loop through for my pandas script. I am using glob to select the files ending in .csv but it just returns the same .csv file every time.

I am trying to accomplish the following:

1. Use glob to select the folder containing .csvs and run the script on each individual .csv file in the folder
2. Save the .csv filename as a variable that can be later applied to a .png file name

Basically, input the .csv file into the script, save the filename as a variable, run the rest of the script, and repeat until complete.

I am using Jupyter Notebook on MacOS

Here is my current code:

import yfinance as yf 
import matplotlib
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd 
import mplfinance as mpf 
import glob

path = r'/Users/chris/Desktop/Files'
files = glob.glob(path + "/*.csv")

for f in files:
    dfb = pd.read_csv(f,usecols=['Time','Balance'],index_col=0, parse_dates=True)

photoname = files+'.png'

dfb["Balance"] = dfb["Balance"].str.split(expand=True).iloc[:,0]  
dfb["Balance"] = dfb["Balance"].str.replace(',','').astype(float) 

df = yf.Ticker("DOGE-USD").history(period='max')
df = df.loc["2021-01-01":] 

newdfb = dfb['Balance'].resample('D').ohlc().dropna()  
newdfb.drop(['open','high','low'],axis=1,inplace=True) 
newdfb.columns = ['Balance']  

dates = [d.date() for d in newdfb.index]
newdfb.index = pd.DatetimeIndex(dates)
newdfb.index.name = 'Time'

dfc = df.join(newdfb, how='outer').dropna()
dfc.index.name = 'Date'

ap = mpf.make_addplot(dfc['Balance'])
mpf.plot(dfc,type='candle',addplot=ap)
print(address)

mpf.plot(dfc,type='candle',addplot=ap, savefig=photoname) #This saves as a photo