FAQ: Data Cleaning with Pandas - Diagnose the Data

This community-built FAQ covers the “Diagnose the Data” exercise from the lesson “Data Cleaning with Pandas”.

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This exercise can be found in the following Codecademy content:

Practical Data Cleaning

FAQs on the exercise Diagnose the Data

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import codecademylib3_seaborn
import pandas as pd

df1 = pd.read_csv(“df1.csv”)
df2 = pd.read_csv(“df2.csv”)

df1.rename(index = str, columns={
“Grocery Item”: “grocery_item”,
“Cake Recipe”: “cake_recipe”,
“Pancake Recipe”: “pancake_recipe”,
“Cookie Recipe”: “cookie_recipe”

When I run this code the columns are not re-named. Why not? What am I doing incorrectly. I am attempting to rename the columns so I can use the .value_counts() function more easily.

I have some problems when using the package “codecademylib3_seaborn”, anyone could help me?
First I imported the package and got error:
import codecademylib3_seaborn
ModuleNotFoundError: No module named 'codecademylib3_seaborn’
Then I install the package, also encount the following error:
! pip install codecademylib3_seaborn
**ERROR: Could not find a version that satisfies the requirement codecademylib3_seaborn (from versions: none) **
ERROR: No matching distribution found for codecademylib3_seaborn

Does anyone know how I can use this package?
Any help would be appreciated.

If you are running it offline on your own system, try using seaborn instead.

  • .value_counts() — display the distinct values for a column

Can someone post an example on how to use this with the given code?

It won’t work as it’s an Library created by Codecademy for Codecademy. If you trying to install

Seaborn Library

  • Then open your Command Prompt by typing cmd in Run Dialogue Box or Simply Search for it.
  • Then Type pip install seaborn


You can read this Article created by Codecademy which thoroughly explains everything.

I was also stuck but @el_cocodrilo helped me.
Here’s the Correct Syntax


It will Return all the Unique Elements and also there number of appearance.

As you can see here it returned Recipes and Their Number of Appearances in the Right Side

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