完美解决安装完tensorflow后pip无法使用的问题
更新时间:2018年06月11日 10:26:41 作者:Adonay
今天小编就为大家分享一篇完美解决安装完tensorflow后pip无法使用的问题,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧
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脚本之家。
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