将代理传递给 Seaborn [英] Pass proxy to Seaborn

问题描述

我使用 seaborn 进行数据可视化.但它失败了它在文档中的样本数据

I am using seaborn for data visualization. But it fails over the sample data it has in documentation

import seaborn as sns
sns.set()
tips = sns.load_dataset("tips")

Traceback (most recent call last):
  File "databaseConnection.py", line 35, in <module>
    tips = sns.load_dataset("tips")
  File "C:\python3.7\lib\site-packages\seaborn\utils.py", line 428, in load_dataset
    urlretrieve(full_path, cache_path)
  File "C:\python3.7\lib\urllib\request.py", line 247, in urlretrieve
    with contextlib.closing(urlopen(url, data)) as fp:
  File "C:\python3.7\lib\urllib\request.py", line 222, in urlopen
    return opener.open(url, data, timeout)
  File "C:\python3.7\lib\urllib\request.py", line 525, in open
    response = self._open(req, data)
  File "C:\python3.7\lib\urllib\request.py", line 543, in _open
    '_open', req)
  File "C:\python3.7\lib\urllib\request.py", line 503, in _call_chain
    result = func(*args)
  File "C:\python3.7\lib\urllib\request.py", line 1360, in https_open
    context=self._context, check_hostname=self._check_hostname)
  File "C:\python3.7\lib\urllib\request.py", line 1319, in do_open
    raise URLError(err)
urllib.error.URLError: <urlopen error [Errno 11001] getaddrinfo failed>

那是因为我在代理后面，但我如何要求 seaborn 使用代理?

That's because I am behind a proxy, but how can I ask seaborn to use proxy?

推荐答案

您可以手动下载文件.

使用

import seaborn as sns
print(sns.utils.get_data_home())

找出您的 seaborn 数据的文件夹，例如它可能在 Windows 上显示为 C:\Users\username\seaborn-data.

to find out the folder for your seaborn data, e.g. it might come out as C:\Users\username\seaborn-data on windows.

将文件 https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv 下载到该文件夹​​.最后，使用缓存"选项

Download the file https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv to that folder. Finally, use the "cached" option

sns.load_dataset("tips", cache=True)

或者将文件下载到任何其他文件夹.使用该文件夹的路径名作为 data_home 参数

Alternatively download the file to any other folder. Use that folder's pathname as data_home argument

sns.load_dataset(name, cache=True, data_home="path/to/folder")

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