75 lines
1.2 KiB
Markdown
75 lines
1.2 KiB
Markdown
|
---
|
||
|
|
id: 5e9a093a74c4063ca6f7c15e
|
||
|
|
title: DataFrame によるデータクリーニング
|
||
|
|
challengeType: 11
|
||
|
|
videoId: sTMN_pdI6S0
|
||
|
|
bilibiliIds:
|
||
|
|
aid: 505597026
|
||
|
|
bvid: BV1Yg411c7bx
|
||
|
|
cid: 409018948
|
||
|
|
dashedName: data-cleaning-with-dataframes
|
||
|
|
---
|
||
|
|
|
||
|
|
# --description--
|
||
|
|
|
||
|
|
*動画で説明しているように、notebooks.ai を使用する代わりに Google Colab を使用することができます。*
|
||
|
|
|
||
|
|
その他のリソース:
|
||
|
|
|
||
|
|
- [GitHub のノート](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
|
||
|
|
- [Google Colab を使用して GitHub からノートを開く方法](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
|
||
|
|
|
||
|
|
# --question--
|
||
|
|
|
||
|
|
## --text--
|
||
|
|
|
||
|
|
次のコードは何を表示しますか？
|
||
|
|
|
||
|
|
```py
|
||
|
|
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--
|
||
|
|
|
||
|
|
<pre>
|
||
|
|
0 1.0
|
||
|
|
1 1.0
|
||
|
|
2 2.0
|
||
|
|
3 3.0
|
||
|
|
4 3.0
|
||
|
|
dtype: float64
|
||
|
|
</pre>
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
<pre>
|
||
|
|
0 NaN
|
||
|
|
1 1.0
|
||
|
|
2 2.0
|
||
|
|
3 2.0
|
||
|
|
4 3.0
|
||
|
|
dtype: float64
|
||
|
|
</pre>
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
<pre>
|
||
|
|
0 NaN
|
||
|
|
1 1.0
|
||
|
|
2 2.0
|
||
|
|
3 NaN
|
||
|
|
4 3.0
|
||
|
|
dtype: float64
|
||
|
|
</pre>
|
||
|
|
|
||
|
|
## --video-solution--
|
||
|
|
|
||
|
|
2
|
||
|
|
|