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* 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>
75 lines
1.2 KiB
Markdown
75 lines
1.2 KiB
Markdown
---
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id: 5e9a093a74c4063ca6f7c15e
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title: Data Cleaning with DataFrames
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challengeType: 11
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videoId: sTMN_pdI6S0
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bilibiliIds:
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aid: 505597026
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bvid: BV1Yg411c7bx
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cid: 409018948
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dashedName: data-cleaning-with-dataframes
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---
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# --description--
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*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
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More resources:
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- <a href="https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp" target="_blank" rel="noopener noreferrer nofollow">Notebooks on GitHub</a>
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- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer nofollow">How to open Notebooks from GitHub using Google Colab.</a>
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# --question--
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## --text--
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What will the following code print out?
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```py
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import pandas as pd
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import numpy as np
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s = pd.Series([np.nan, 1, 2, np.nan, 3])
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s = s.fillna(method='ffill')
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print(s)
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```
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## --answers--
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<pre>
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0 1.0
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1 1.0
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2 2.0
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3 3.0
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4 3.0
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dtype: float64
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</pre>
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---
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<pre>
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0 NaN
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1 1.0
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2 2.0
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3 2.0
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4 3.0
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dtype: float64
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</pre>
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---
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<pre>
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0 NaN
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1 1.0
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2 2.0
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3 NaN
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4 3.0
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dtype: float64
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</pre>
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## --video-solution--
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2
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