完美解决安装完tensorflow后pip无法使用的问题

yipeiwu_com5年前Python基础

Win8,ANACONDA3(64-bit),Python3.6.2。ANACONDA Prompt中不能用pip命令安装包,并且是在安装了TensorFlow后才发生的。

报错如下:

F:\360Downloads>pip install --upgrade pip
Exception:
Traceback (most recent call last):
 File "E:\tools\anaconda\py3\lib\site-packages\pip\basecommand.py", line 215, in main
 status = self.run(options, args)
 File "E:\tools\anaconda\py3\lib\site-packages\pip\commands\install.py", line 335, in run
 wb.build(autobuilding=True)
 File "E:\tools\anaconda\py3\lib\site-packages\pip\wheel.py", line 749, in build
 self.requirement_set.prepare_files(self.finder)
 File "E:\tools\anaconda\py3\lib\site-packages\pip\req\req_set.py", line 380, in prepare_files
 ignore_dependencies=self.ignore_dependencies))
 File "E:\tools\anaconda\py3\lib\site-packages\pip\req\req_set.py", line 487, in _prepare_file
 req_to_install, finder)
 File "E:\tools\anaconda\py3\lib\site-packages\pip\req\req_set.py", line 428, in _check_skip_instal
led
 req_to_install, upgrade_allowed)
 File "E:\tools\anaconda\py3\lib\site-packages\pip\index.py", line 465, in find_requirement
 all_candidates = self.find_all_candidates(req.name)
 File "E:\tools\anaconda\py3\lib\site-packages\pip\index.py", line 423, in find_all_candidates
 for page in self._get_pages(url_locations, project_name):
 File "E:\tools\anaconda\py3\lib\site-packages\pip\index.py", line 568, in _get_pages
 page = self._get_page(location)
 File "E:\tools\anaconda\py3\lib\site-packages\pip\index.py", line 683, in _get_page
 return HTMLPage.get_page(link, session=self.session)
 File "E:\tools\anaconda\py3\lib\site-packages\pip\index.py", line 811, in get_page
 inst = cls(resp.content, resp.url, resp.headers)
 File "E:\tools\anaconda\py3\lib\site-packages\pip\index.py", line 731, in __init__
 namespaceHTMLElements=False,
TypeError: parse() got an unexpected keyword argument 'transport_encoding'

解决方案:

1.conda install -c anaconda html5lib

如下场景

F:\360Downloads>conda install -c anaconda html5lib
Fetching package metadata ...............
Solving package specifications: .

Package plan for installation in environment E:\tools\anaconda\py3:

The following packages will be UPDATED:

 anaconda: 5.0.0-py36hea9b2fc_0  --> custom-py36h363777c_0 anaconda
 bzip2:  1.0.6-vc14hdec8e7a_1  --> 1.0.6-vc14_3   anaconda [vc14]
 conda:  4.3.27-py36hcbae3bd_0  --> 4.4.8-py36_0   anaconda
 html5lib: 0.999999999-py36ha09b1f3_0 --> 1.0.1-py36h047fa9f_0 anaconda
 libpng: 1.6.32-vc14hce43e6c_2  --> 1.6.32-vc14h5163883_3 anaconda [vc14]
 openssl: 1.0.2l-vc14hcac20b0_2  --> 1.0.2l-vc14hf4c37d5_5 anaconda [vc14]
 pycosat: 0.6.2-py36hf17546d_1  --> 0.6.3-py36h413d8a4_0 anaconda

The following packages will be SUPERSEDED by a higher-priority channel:

 conda-env: 2.6.0-h36134e3_1   --> 2.6.0-h36134e3_1  anaconda
 curl:  7.55.1-vc14hdaba4a4_3  --> 7.55.1-vc14hdaba4a4_3 anaconda [vc14]
 freetype: 2.8-vc14h17c9bdf_0   --> 2.8-vc14h17c9bdf_0 anaconda [vc14]
 hdf5:  1.10.1-vc14hb361328_0  --> 1.10.1-vc14hb361328_0 anaconda [vc14]
 icu:  58.2-vc14hc45fdbb_0  --> 58.2-vc14hc45fdbb_0 anaconda [vc14]
 jpeg:  9b-vc14h4d7706e_1   --> 9b-vc14h4d7706e_1  anaconda [vc14]
 libiconv: 1.15-vc14h29686d3_5  --> 1.15-vc14h29686d3_5 anaconda [vc14]
 libssh2: 1.8.0-vc14hcf584a9_2  --> 1.8.0-vc14hcf584a9_2 anaconda [vc14]
 libtiff: 4.0.8-vc14h04e2a1e_10  --> 4.0.8-vc14h04e2a1e_10 anaconda [vc14]
 libxml2: 2.9.4-vc14h8fd0f11_5  --> 2.9.4-vc14h8fd0f11_5 anaconda [vc14]
 libxslt: 1.1.29-vc14hf85b8d4_5  --> 1.1.29-vc14hf85b8d4_5 anaconda [vc14]
 qt:  5.6.2-vc14h6f8c307_12  --> 5.6.2-vc14h6f8c307_12 anaconda [vc14]
 sqlite: 3.20.1-vc14h7ce8c62_1  --> 3.20.1-vc14h7ce8c62_1 anaconda [vc14]
 tk:  8.6.7-vc14hb68737d_1  --> 8.6.7-vc14hb68737d_1 anaconda [vc14]
 yaml:  0.1.7-vc14hb31d195_1  --> 0.1.7-vc14hb31d195_1 anaconda [vc14]
 zlib:  1.2.11-vc14h1cdd9ab_1  --> 1.2.11-vc14h1cdd9ab_1 anaconda [vc14]

Proceed ([y]/n)? y

conda-env-2.6. 100% |###############################| Time: 0:00:00 538.73 kB/s
bzip2-1.0.6-vc 100% |###############################| Time: 0:00:02 55.75 kB/s
icu-58.2-vc14h 7% |##        | Time: 0:00:07 233.63 kB/s

2.更新:conda install pip

以上这篇完美解决安装完tensorflow后pip无法使用的问题就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

Python中遍历列表的方法总结

Python中遍历列表有以下几种方法: 一、for循环遍历 lists = ["m1", 1900, "m2", 2000] for item in lists: print(i...

用Python中的__slots__缓存资源以节省内存开销的方法

用Python中的__slots__缓存资源以节省内存开销的方法

我们曾经提到,Oyster.com的Python web服务器怎样利用一个巨大的Python dicts(hash table),缓存大量的静态资源。我们最近在Image类中,用仅仅一行...

详解python做UI界面的方法

详解python做UI界面的方法

一直以来都是用python脚本,执行的时候就是在终端直接命令执行,或者直接输入代码执行,最近为了方便他人使用,想做个界面,可以通过里面的控件菜单直接点击执行程序功能。 在文件夹中创建一...

pandas获取groupby分组里最大值所在的行方法

pandas获取groupby分组里最大值所在的行方法 如下面这个DataFrame,按照Mt分组,取出Count最大的那行 import pandas as pd df = pd....

python制作企业邮箱的爆破脚本

python制作企业邮箱的爆破脚本

按照师傅给的任务,写了一个企业邮箱的爆破脚本,后续还有FTP,SSH等一些爆破的脚本。 我先说下整体思路: 总体就是利用python的poplib模块来从pop3服务器上交互,根据获取的...