Explore puzzles designed to enhance your critical thinking and problem-solving skills using pandas. Gain insights into common pitfalls and sharpen your data manipulation techniques.

test.tar.gz

test

test2

Puzzles are a great way to practice your critical thinking and problem-solving skills. This course assumes a basic understanding of pandas.  The teasers and puzzles in this course are designed to help you practice what you already know and help avoid future mistakes.

Pandas Brain Teasers

# Try it yourself
Try executing the code below to see the result.

import pandas as pd

df = pd.DataFrame([
  ['Bugs', True, 72.3],
  ['Daffy', False, 30.7],
  ['Tweety', True, 23.5],
  ['Elmer', False, 103.9],
], columns=['Customer', 'Member', 'Amount'])
df[df['Member']]['Amount'] *= 0.9
print(df)

# Explanation
The change is not reflected in `df`. The reason is that pandas does a lot of work
under the hood to avoid copying data. However, in some cases, it can’t. In those cases, we get a copy of the data.

The warning is helpful. Unfortunately, lots of developers ignore it.

```py
discount.py:11: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs...
```
The existence of the warning above indicates that many developers face this same issue. Let’s apply the warning suggestion to our code:

Let's find out how to access and modify pandas DataFrame values.



Access and Modify DataFrames Values

Let's find out how to access and modify pandas DataFrame values.

Before We Begin

Puzzles

Wrapping Up

Access and Modify DataFrames Values

Try it yourself

Explanation