Cleaned_Csv file

Q&A
, ,
#1

Screen Link:
https://app.dataquest.io/m/293/data-cleaning-basics/12/challenge-clean-a-string-column

My Code:
aptops[“weight”]= laptops[“weight”].str.replace(“kgs”,"").str.replace(“kg”,"").astype(float)
laptops.rename({“weight”: “weight_kg”}, axis = 1, inplace = True)
laptops.to_csv(‘laptops_cleaned.csv’, index = False)

Replace this line with your code

What I expected to happen:

What actually happened:

Replace this line with the output/error

As per this mission, I’ve replaced the strings followed by renamed the column as well and finally saved the cleaned csv file as per csv method - laptops.to_csv(‘laptops_cleaned.csv’, index = False)
Now I just want to understand where will i see the cleaned csv file for my further analysis? Your help is highly appreciated ?
Thank you
K!

#2
  1. Run the code first using Run Code or Submit Answer
  2. click Open Console
  • run !ls to list files/directories

This will list the files in the working directory

>>> !ls

laptops_cleaned.csv laptops.csv
  1. if you want to check the contents in laptops_cleaned.csv you can use !cat laptops_cleaned.csv 
>>> !cat laptops_cleaned.csv

You can copy and paste the output to a CSV file in your machine.

OR

If you need the laptops_cleaned.csv in your machine, you can download the laptops.csv then use your favorite text editor or notebook to run the code you wrote to generate laptops_cleaned.csv

I hope this has helped. :thinking:

1 Like
#3

Thanks for the clarification. I got it now :slight_smile:

Best
K!

1 Like
#4

Awesome, I’m glad I could help.

1 Like
#5

Hi @info.victoromondi

i try the way you said above, i try to do " !cat laptops_cleaned.csv’, it is said no such file or dictionary.
screen link: https://app.dataquest.io/m/293/data-cleaning-basics/12/challenge-clean-a-string-column

#6

Follow either of the instructions

#7

You might have named it laptops_cleaned instead of laptops_cleaned.csv while saving the laptops dataframe.

Refer the code below: You might have written
laptops.to_csv('laptops_cleaned', index=False)
instead of
laptops.to_csv('laptops_cleaned.csv', index=False)