运行这个代码import pandas as pd from io import StringIO from urllib import request url_csv = "http://bf1.chinazdap.com/skill-help/bigdata/slrh/dongting_investment_min.csv" url_txt = "http://bf1.chinazdap.com/skill-help/bigdata/slrh/dongting_investment_min.txt" data_csv = request.urlopen(url_csv).read().decode(encoding='utf-8') dlists_csv = [rw for rw in StringIO(data_csv)] data_txt = request.urlopen(url_txt).read().decode(encoding='utf-8') dlists_txt = [rw for rw in StringIO(data_txt)]
时间: 2024-04-13 21:25:14 浏览: 10
这段代码将从给定的CSV和TXT链接导入数据,并将其存储在dlists_csv和dlists_txt中。
请确保你已经安装了pandas库,然后运行这段代码。在运行之前,你需要将url_csv和url_txt替换为你想要导入的实际链接。
```python
import pandas as pd
from io import StringIO
from urllib import request
url_csv = "http://bf1.chinazdap.com/skill-help/bigdata/slrh/dongting_investment_min.csv"
url_txt = "http://bf1.chinazdap.com/skill-help/bigdata/slrh/dongting_investment_min.txt"
data_csv = request.urlopen(url_csv).read().decode(encoding='utf-8')
dlists_csv = [rw for rw in StringIO(data_csv)]
data_txt = request.urlopen(url_txt).read().decode(encoding='utf-8')
dlists_txt = [rw for rw in StringIO(data_txt)]
```
请确保你在运行代码之前已经连接到互联网,并且可以访问这些链接。
相关问题
(http://bf1.chinazdap.com/skill-help/bigdata/slrh/dongting_investment_min. csv)和平台中代码资源 (http://bf1.chinazdap.com/skill-help/bigdata/slrh/dongting_investment_min. txt)import pandas as pd from io import StringIO from urllib import request data = request.urlopen(url).read().decode(encoding='utf-8') dlists = [rw for rw in StringIO(data)]
以下是补充完成的代码:
```python
import pandas as pd
from io import StringIO
from urllib import request
url_csv = "http://bf1.chinazdap.com/skill-help/bigdata/slrh/dongting_investment_min.csv"
url_txt = "http://bf1.chinazdap.com/skill-help/bigdata/slrh/dongting_investment_min.txt"
data_csv = request.urlopen(url_csv).read().decode(encoding='utf-8')
dlists_csv = [rw for rw in StringIO(data_csv)]
data_txt = request.urlopen(url_txt).read().decode(encoding='utf-8')
dlists_txt = [rw for rw in StringIO(data_txt)]
```
这段代码将从给定的CSV和TXT链接导入数据,并将其存储在dlists_csv和dlists_txt中。你可以根据需要进一步处理这些数据。
这个代码有问题import pandas as pd from io import StringIO from urllib import request url= "https://www.runoob.com/python/python-intro.html" data = request.urlopen(url).read().decode(encoding='utf-8') dlists = [rw for rw in StringIO(data)]
在代码的第4行中,应该使用`StringIO(data)`来将获取的数据转换为`StringIO`对象,而不是使用`[rw for rw in StringIO(data)]`将其转换为列表。正确的代码应该是这样的:
```
import pandas as pd
from io import StringIO
from urllib import request
url= "https://www.runoob.com/python/python-intro.html"
data = request.urlopen(url).read().decode(encoding='utf-8')
dlists = StringIO(data)
```
这样就可以将获取的数据转换为`StringIO`对象,然后可以使用`pd.read_csv(dlists)`来将其读取为`pandas`的数据框。