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freeCodeCamp/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-with-dataframes.md
Muhammed Mustafa 3e3da4ec0f fix(curriculum): standardize links in curriculum (#46564)
* fix(curriculum): standradize links in curriculum

* Data analiysis links

* CIP links

* fixed links in s-expressions

* Update curriculum/challenges/english/01-responsive-web-design/basic-css/use-hex-code-for-specific-colors.md

Co-authored-by: Ilenia <nethleen@gmail.com>

* added space before target attribute

* standarize external and .rock example links

* wrap "check out the projects" around the links

Co-authored-by: Ilenia <nethleen@gmail.com>
2022-06-26 11:13:38 -05:00

1.2 KiB

id, title, challengeType, videoId, bilibiliIds, dashedName
id title challengeType videoId bilibiliIds dashedName
5e9a093a74c4063ca6f7c15e Data Cleaning with DataFrames 11 sTMN_pdI6S0
aid bvid cid
505597026 BV1Yg411c7bx 409018948
data-cleaning-with-dataframes

--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([np.nan, 1, 2, np.nan, 3])
s = s.fillna(method='ffill')

print(s)

--answers--

0    1.0
1    1.0
2    2.0
3    3.0
4    3.0
dtype: float64

0    NaN
1    1.0
2    2.0
3    2.0
4    3.0
dtype: float64

0    NaN
1    1.0
2    2.0
3    NaN
4    3.0
dtype: float64

--video-solution--

2