使用 pandas 读取在线数据时出现 HTTP 错误 413
HTTP Error 413 when reading online data with pandas
我正在使用 pandas read_csv
将文件下载并读取到数据帧。
import pandas as pd
df = pd.read_csv('https://some-monitor.com/rest/data', sep=';', thousands='.', decimal=',')
在本地,脚本工作正常,数据被读取到数据框。但是,当我 ssh
进入远程服务器并 运行 那里的脚本时,我收到以下错误:
File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 678, in parser_f
return _read(filepath_or_buffer, kwds)
File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 424, in _read
filepath_or_buffer, encoding, compression)
File "/usr/lib/python3/dist-packages/pandas/io/common.py", line 195, in get_filepath_or_buffer
req = _urlopen(filepath_or_buffer)
File "/usr/lib/python3.7/urllib/request.py", line 222, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.7/urllib/request.py", line 531, in open
response = meth(req, response)
File "/usr/lib/python3.7/urllib/request.py", line 641, in http_response
'http', request, response, code, msg, hdrs)
File "/usr/lib/python3.7/urllib/request.py", line 569, in error
return self._call_chain(*args)
File "/usr/lib/python3.7/urllib/request.py", line 503, in _call_chain
result = func(*args)
File "/usr/lib/python3.7/urllib/request.py", line 649, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 413:
为什么会出现这种情况?为什么脚本在本地有效,而在服务器上却无效?服务器和我本地的 OS 都是一样的:Ubuntu.
感谢@DeadSec 的建议,脚本现在在服务器上也能正常运行。
我使用 pretty-downloader 先下载文件,然后在 pandas.
加载它
from pretty_downloader import download
download('https://some-monitor.com/rest/data', file_name='my_file.csv')
import pandas as pd
df = pd.read_csv('my_file.csv', sep=';', thousands='.', decimal=',')
我正在使用 pandas read_csv
将文件下载并读取到数据帧。
import pandas as pd
df = pd.read_csv('https://some-monitor.com/rest/data', sep=';', thousands='.', decimal=',')
在本地,脚本工作正常,数据被读取到数据框。但是,当我 ssh
进入远程服务器并 运行 那里的脚本时,我收到以下错误:
File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 678, in parser_f
return _read(filepath_or_buffer, kwds)
File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 424, in _read
filepath_or_buffer, encoding, compression)
File "/usr/lib/python3/dist-packages/pandas/io/common.py", line 195, in get_filepath_or_buffer
req = _urlopen(filepath_or_buffer)
File "/usr/lib/python3.7/urllib/request.py", line 222, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.7/urllib/request.py", line 531, in open
response = meth(req, response)
File "/usr/lib/python3.7/urllib/request.py", line 641, in http_response
'http', request, response, code, msg, hdrs)
File "/usr/lib/python3.7/urllib/request.py", line 569, in error
return self._call_chain(*args)
File "/usr/lib/python3.7/urllib/request.py", line 503, in _call_chain
result = func(*args)
File "/usr/lib/python3.7/urllib/request.py", line 649, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 413:
为什么会出现这种情况?为什么脚本在本地有效,而在服务器上却无效?服务器和我本地的 OS 都是一样的:Ubuntu.
感谢@DeadSec 的建议,脚本现在在服务器上也能正常运行。 我使用 pretty-downloader 先下载文件,然后在 pandas.
加载它from pretty_downloader import download
download('https://some-monitor.com/rest/data', file_name='my_file.csv')
import pandas as pd
df = pd.read_csv('my_file.csv', sep=';', thousands='.', decimal=',')