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freeCodeCamp/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-introduction.md
Ilenia a38922536c Adding language to code fences and pre to console logs (#40603) 
* added languages to prismjs

* added language to code fences for python for everybody

* multiline pre to python for everybody questions

* multiline pre for data analysis with python

* multiline pre in numpy questions

* single line pre for python for everybody

* single line pre for data analysis with python

* single line pre for numpy

* Revert "multiline pre in numpy questions"

This reverts commit af1a02cdd3.

* fix unneded escaping

commit suggestions from code review

Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>

* Revert "single line pre for numpy"

This reverts commit 5f90981108.

* revert changes to snippet that have a language

* one last code fence to pre

* Revert "fix unneded escaping
"

This reverts commit 64c84a9213.

* Revert "single line pre for data analysis with python"

This reverts commit 3bccaff753.

* Revert "single line pre for python for everybody"

This reverts commit 03a5379062.

* remove unnecessary escape

Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>
2021-01-21 12:12:42 -06:00

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id, title, challengeType, videoId, dashedName
id title challengeType videoId dashedName
5e9a093a74c4063ca6f7c15d Data Cleaning Introduction 11 ovYNhnltVxY data-cleaning-introduction

--description--

Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.

More resources:

--question--

--text--

What will the following code print out?

import pandas as pd
import numpy as np

s = pd.Series(['a', 3, np.nan, 1, np.nan])

print(s.notnull().sum())

--answers--

3

0     True
1     True
2    False
3     True
4    False
dtype: bool
0    False
1    False
2     True
3    False
4     True
dtype: bool

--video-solution--

1