71 lines
1.3 KiB
Markdown
71 lines
1.3 KiB
Markdown
---
|
|
id: 5e9a093a74c4063ca6f7c15a
|
|
title: Pandas DataFrames
|
|
challengeType: 11
|
|
videoId: 7SgFBYXaiH0
|
|
bilibiliIds:
|
|
aid: 890503235
|
|
bvid: BV1TP4y1h7qq
|
|
cid: 409014039
|
|
dashedName: pandas-dataframes
|
|
---
|
|
|
|
# --description--
|
|
|
|
*在视频中我们使用的编辑器工具是在 notebook.ai 这个平台，你也可以选择用其他的平台，比如说 Google Colab 也是一个不错的选择。*
|
|
|
|
以下有更多的资料：
|
|
|
|
- [在 GitHub 平台的 Notebooks](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
|
|
- [如何使用 Google Colab 来打开 GitHub 上的 Notebooks](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
|
|
|
|
# --question--
|
|
|
|
## --text--
|
|
|
|
以下代码会打印出什么？
|
|
|
|
```py
|
|
import pandas as pd
|
|
|
|
certificates_earned = pd.DataFrame({
|
|
'Certificates': [8, 2, 5, 6],
|
|
'Time (in months)': [16, 5, 9, 12]
|
|
})
|
|
|
|
certificates_earned.index = ['Tom', 'Kris', 'Ahmad', 'Beau']
|
|
|
|
print(certificates_earned.iloc[2])
|
|
```
|
|
|
|
## --answers--
|
|
|
|
<pre>
|
|
Tom 16
|
|
Kris 5
|
|
Ahmad 9
|
|
Beau 12
|
|
Name: Time (in months), dtype: int64
|
|
</pre>
|
|
|
|
---
|
|
|
|
<pre>
|
|
Certificates 6
|
|
Time (in months) 12
|
|
Name: Beau, dtype: int64
|
|
</pre>
|
|
|
|
---
|
|
|
|
<pre>
|
|
Certificates 5
|
|
Time (in months) 9
|
|
Name: Ahmad, dtype: int64
|
|
</pre>
|
|
|
|
## --video-solution--
|
|
|
|
3
|
|
|