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

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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 numpy as np
import pandas as pd

s = pd.Series([1, 2, np.nan, 4, 5])
s.fillna(3)
print(s.sum())

# Explanation
The `pandas.Series.fillna` documentation says, that it returns the following:
>"Returns: Series or None
>
>Object with missing values filled or `None` if `inplace = True`."

It’s never a good idea to change or mutate an object passed to a function. On the other hand, pandas tries to be efficient and not copy data around a lot.

The design decision for `fillna`, both in `pandas.Series` and `pandas.DataFrame`, wasn't
to change the original object and return a copy. But, the user has an option to pass `inplace = True`, which changes the original object.

Let's find out how to use the fillna() function.

Before We Begin

Puzzles

Wrapping Up

fillna() with Pandas Series

Try it yourself

Explanation