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解決安裝完tensorflow後pip無法使用的問題

Win8,ANACONDA3(64-bit),Python3.6.2。ANACONDA Prompt中不能用pip命令安裝包,並且是在安裝了TensorFlow後才發生的。報錯如下:

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'

解決方案:
1.conda install -c anaconda html5lib
如下場景

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