60 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
			
		
		
	
	
			60 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
---
 | 
						|
id: 5e9a093a74c4063ca6f7c162
 | 
						|
title: 从 CSV 和 TXT 中读取数据
 | 
						|
challengeType: 11
 | 
						|
videoId: ViGEv0zOzUk
 | 
						|
bilibiliIds:
 | 
						|
  aid: 505575354
 | 
						|
  bvid: BV1tg411c7GH
 | 
						|
  cid: 409020451
 | 
						|
dashedName: reading-data-csv-and-txt
 | 
						|
---
 | 
						|
 | 
						|
# --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/krishnatray/RDP-Reading-Data-with-Python-and-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--
 | 
						|
 | 
						|
你如何使用 Pandas 模块导入 CSV 文件 `data.csv` 并且存储到 DataFrame 中?
 | 
						|
 | 
						|
## --answers--
 | 
						|
 | 
						|
```python
 | 
						|
import pandas as pd
 | 
						|
df = pd.csv("data.csv")
 | 
						|
```
 | 
						|
 | 
						|
---
 | 
						|
 | 
						|
```python
 | 
						|
import pandas as pd
 | 
						|
df = pd.read_csv("data.csv")
 | 
						|
```
 | 
						|
 | 
						|
---
 | 
						|
 | 
						|
```python
 | 
						|
import pandas as pd
 | 
						|
pd.read_csv("data.csv")
 | 
						|
```
 | 
						|
 | 
						|
---
 | 
						|
 | 
						|
```python
 | 
						|
import pandas as pd
 | 
						|
df = pd.csv_reader("data.csv")
 | 
						|
```
 | 
						|
 | 
						|
## --video-solution--
 | 
						|
 | 
						|
2
 | 
						|
 |