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I am trying to install pandas in my company computer. I tried to do
pip install pandas
but operation retries and then timesout.
then I downloaded the package:
pandas-0.22.0-cp27-cp27m-win_amd64.whl
and install:
pip install pandas-0.22.0-cp27-cp27m-win_amd64
But I get the following error:
Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(<pip._vendor.urllib3.connection.VerifiedHTTPSConnection object at 0x0000000003F16320>, 'Connection to pypi.python.org timed out. (connect timeout=15)')': /simple/pytz/ Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(<pip._vendor.urllib3.connection.VerifiedHTTPSConnection object at 0x0000000003F16C50>, 'Connection to pypi.python.org timed out. (connect timeout=15)')': /simple/pytz/ Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(<pip._vendor.urllib3.connection.VerifiedHTTPSConnection object at 0x0000000003F16C18>, 'Connection to pypi.python.org timed out. (connect timeout=15)')': /simple/pytz/ Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(<pip._vendor.urllib3.connection.VerifiedHTTPSConnection object at 0x0000000003F16780>, 'Connection to pypi.python.org timed out. (connect timeout=15)')': /simple/pytz/ Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(<pip._vendor.urllib3.connection.VerifiedHTTPSConnection object at 0x0000000003F16898>, 'Connection to pypi.python.org timed out. (connect timeout=15)')': /simple/pytz/ Could not find a version that satisfies the requirement pytz>=2011k (from pandas==0.22.0) (from versions: ) No matching distribution found for pytz>=2011k (from pandas==0.22.0)
I did the same with package: pandas-0.22.0-cp27-cp27m-win_amd64.whl
I also tried to use proxies:
pip --proxy=IND\namit.kewat:[email protected]:8880 install numpy
But I am unable to get pandas.
when I tried to access the site : https://pypi.org/project/pandas/#files I can access it without any problem on explorer
889
PIP has a default timeout of 15 sec , reference guide.
The Pip Package Manager can be used to list both globally and locally installed Python packages.
PIP has a default timeout of 15 sec, reference guide. Pandas is a relatively big file, at 10MB, and it's dependant Numpy, at 20MB could still be needed (if it is not installed already.). In addition, your network connection may be slow. Therefore, set PIP to take longer time by, for example, giving it 1000 sec: as suggested by @Pouya Khalilzad.
As a python programmer, we often use pip intall command to install python libary. However, we often encounter read timeout error when installing. In this tutorial, we will introduce a new way to fix this read timeout error. To fix pip install read timeout error, we have two ways: Method 1: Set a long read time and retry times for pip
So the error means that your system is unable to reach the default index url to locate whatever package you want to install via pip. It generally points to a network issue. I think you can try each steps listed in #7424 (comment) one by one again and mention if a certain step worked, or didn't work, and why (along with the logs).
Its reaching same website Sorry, something went wrong. So the error means that your system is unable to reach the default index url to locate whatever package you want to install via pip. It generally points to a network issue.
This works for me:
pip --default-timeout=1000 install pandas
PIP has a default timeout of 15 sec, reference guide. Pandas is a relatively big file, at 10MB, and it's dependant Numpy, at 20MB could still be needed (if it is not installed already.). In addition, your network connection may be slow. Therefore, set PIP to take longer time by, for example, giving it 1000 sec:
pip --default-timeout=1000 install pandas
as suggested by @Pouya Khalilzad.
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