在Anaconda Prompt使用pip insatall 庫名 ,出現超時報錯,報錯代碼如下

(datasci) C:\Users\德瑪西亞>pip install pandas==1.1.3 Collecting pandas==1.1.3Downloading pandas-1.1.3-cp38-cp38-win_amd64.whl (8.9 MB)-------- ------------------------------- 1.9/8.9 MB 18.7 kB/s eta 0:06:20 ERROR: Exception: Traceback (most recent call last):File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\urllib3\response.py", line 435, in _error_catcheryieldFile "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\urllib3\response.py", line 516, in readdata = self._fp.read(amt) if not fp_closed else b""File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py", line 90, in readdata = self.__fp.read(amt)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\http\client.py", line 459, in readn = self.readinto(b)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\http\client.py", line 503, in readinton = self.fp.readinto(b)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\socket.py", line 669, in readintoreturn self._sock.recv_into(b)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\ssl.py", line 1241, in recv_intoreturn self.read(nbytes, buffer)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\ssl.py", line 1099, in readreturn self._sslobj.read(len, buffer) socket.timeout: The read operation timed outDuring handling of the above exception, another exception occurred:Traceback (most recent call last):File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\cli\base_command.py", line 167, in exc_logging_wrapperstatus = run_func(*args)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\cli\req_command.py", line 205, in wrapperreturn func(self, options, args)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\commands\install.py", line 341, in runrequirement_set = resolver.resolve(File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py", line 94, in resolveresult = self._result = resolver.resolve(File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 481, in resolvestate = resolution.resolve(requirements, max_rounds=max_rounds)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 348, in resolveself._add_to_criteria(self.state.criteria, r, parent=None)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 172, in _add_to_criteriaif not criterion.candidates:File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\resolvelib\structs.py", line 151, in __bool__return bool(self._sequence)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 155, in __bool__return any(self)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 143, in <genexpr>return (c for c in iterator if id(c) not in self._incompatible_ids)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 47, in _iter_builtcandidate = func()File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\resolution\resolvelib\factory.py", line 215, in _make_candidate_from_linkself._link_candidate_cache[link] = LinkCandidate(File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 291, in __init__super().__init__(File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 161, in __init__self.dist = self._prepare()File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 230, in _preparedist = self._prepare_distribution()File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 302, in _prepare_distributionreturn preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\operations\prepare.py", line 428, in prepare_linked_requirementreturn self._prepare_linked_requirement(req, parallel_builds)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\operations\prepare.py", line 473, in _prepare_linked_requirementlocal_file = unpack_url(File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\operations\prepare.py", line 155, in unpack_urlfile = get_http_url(File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\operations\prepare.py", line 96, in get_http_urlfrom_path, content_type = download(link, temp_dir.path)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\network\download.py", line 146, in __call__for chunk in chunks:File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\cli\progress_bars.py", line 53, in _rich_progress_barfor chunk in iterable:File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_internal\network\utils.py", line 63, in response_chunksfor chunk in response.raw.stream(File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\urllib3\response.py", line 573, in streamdata = self.read(amt=amt, decode_content=decode_content)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\urllib3\response.py", line 538, in readraise IncompleteRead(self._fp_bytes_read, self.length_remaining)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\contextlib.py", line 131, in __exit__self.gen.throw(type, value, traceback)File "D:\learnBigdata\Anaconda3\envs\datasci\lib\site-packages\pip\_vendor\urllib3\response.py", line 440, in _error_catcherraise ReadTimeoutError(self._pool, None, "Read timed out.") pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.

解決方案:

使用命令pip --default-timeout=100 install -U 庫名

如下:

(datasci) C:\Users\德瑪西亞>pip --default-timeout=100 install -U pandas==1.1.3 Collecting pandas==1.1.3Downloading pandas-1.1.3-cp38-cp38-win_amd64.whl (8.9 MB)---------------------------------------- 8.9/8.9 MB 106.0 kB/s eta 0:00:00 Collecting python-dateutil>=2.7.3Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)---------------------------------------- 247.7/247.7 kB 81.3 kB/s eta 0:00:00 Collecting numpy>=1.15.4Downloading numpy-1.23.3-cp38-cp38-win_amd64.whl (14.7 MB)---------------------------------------- 14.7/14.7 MB 221.0 kB/s eta 0:00:00 Collecting pytz>=2017.2Downloading pytz-2022.2.1-py2.py3-none-any.whl (500 kB)---------------------------------------- 500.6/500.6 kB 275.3 kB/s eta 0:00:00 Collecting six>=1.5Downloading six-1.16.0-py2.py3-none-any.whl (11 kB) Installing collected packages: pytz, six, numpy, python-dateutil, pandas Successfully installed numpy-1.23.3 pandas-1.1.3 python-dateutil-2.8.2 pytz-2022.2.1 six-1.16.0(datasci) C:\Users\德瑪西亞>

完美解決!!!!

總結

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