Replace in pandas

Question

With the help of the Pandas library, in 50 csv files that have one column and 25 rows, replace the empty .rows with the number zero

Answer 1

import pandas as pd
import glob

# Get a list of all CSV files in the current directory
csv_files = glob.glob("*.csv")

# Iterate through each CSV file
for file in csv_files:
    # Read the CSV file into a DataFrame
    df = pd.read_csv(file, header=None)
    
    # Replace empty cells with zero
    df.fillna(0, inplace=True)
    
    # Save the modified DataFrame back to the same CSV file
    df.to_csv(file, index=False, header=False)

Make sure to have the Pandas library installed (pip install pandas) before running the code. This code reads each CSV file, replaces empty cells with zeros using the fillna method, and then saves the modified DataFrame back to the same CSV file.