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Python videos | Python Part 9 - Files and Folders

Posted by Andy Brown on 16 October 2021

Python Part 9 - Files and Folders

Python makes reading and writing files and looping over files and folders a joys, as this tutorial (which includes a long worked example towards the end) hopefully will demonstrate!

See our full range of Python training resources, or test your knowledge of Python with one of our Python skills assessment tests.

This video has the following accompanying files:

File name	Type	Description
Useful links.txt	Text file	Useful web links referenced
Best films ever.txt	Text file	List of best films to read in
Read in films.py	Python code	Program to read in list of films
Write out films.py	Python code	Program to write out worst films
Looping over files.py	Python code	Program to loop over files and folders
Listing contents of 3 files.py	Python code	Program to loop over and read in 3 files
1 - countries 1-10.csv	CSV file	CSV files containing countries - part 1
2 - countries 11-20.csv	CSV file	CSV files containing countries - part 2
3 - Countries 21-30.csv	CSV file	CSV files containing countries - part 3

Click to download a zipped copy of the above files.

After watching this video, you may like to test your understanding by doing one or more of the following exercises:

Exercise	Level
Open a file for writing, write out your details then read them back in to check	Easy
Open a text file, read its lines and split each to give field details for a list of Muppets	Standard
Loop over the files in a folder, reading the shopping data from each	Hard

You can also download the answers to each exercise from the links above.

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This page has 2 threads

From:	Chandra
When:	27 Oct 22 at 14:45

# concatenates all excel files in one worksheet

import pandas as pd
import glob

location = r"C:\Users\munichandra.kuppani\Documents\Pandas Experiments\MonthWiseData\*.xls"

excel_files = glob.glob(location)
pd.set_option('display.max_rows', 91)

# pd.set_option('display.max_columns',9)

df1 = pd.DataFrame()

for excel_file in excel_files:
df2 = pd.read_excel(excel_file)
df1 = pd.concat([df1, df2], ignore_index=True)

df1.fillna(value="N/A", inplace=True)
df1.to_excel(r"C:\Users\munichandra.kuppani\Documents\Pandas Experiments\MonthWiseData\combined_excel.xlsx")
print(df1)

i am getting this error, please give me solution :

[Running] python -u "c:\Users\munichandra.kuppani\Documents\Pandas Experiments\all_sleep_data.py"
File "c:\Users\munichandra.kuppani\Documents\Pandas Experiments\all_sleep_data.py", line 6
location = 'C:\Users\munichandra.kuppani\Documents\Pandas Experiments\MonthWiseData\*.xls'
^
SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape
[Done] exited with code=1 in 0.468 seconds

From:	Andy B
When:	27 Oct 22 at 15:08

I don't know the solution, but have left this post up in case anyone else has the time to answer it?

Reply

Reply

From:	Chandra
When:	10 Feb 22 at 11:45

Traceback (most recent call last):

File "i:\Wiseowl-Python\File handling.py", line 4, in <module>

File=open(r"C:\Users\Munichandra Kuppani\Downloads\Files needed\Best films ever.text","r")

FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Users\\Munichandra Kuppani\\Downloads\\Files needed\\Best films ever.text'

if you don't mind , would you please tell me solution.

From:	Andy B
When:	10 Feb 22 at 12:50

Are you sure it's not called .txt, rather than .text? Otherwise it's hard to say!

Reply

Reply

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