Anaconda multi-user version 的安装权限报错异常问题总结：
在安装Anaconda时，因为选择了multiple user 的安装方式，结果在Anaconda prompt 里安装tensorflow时却出现了权限受限，拒绝访问的异常报错，具体如下：
(tensorflow)C:> pip install --ignore-installed --upgrade tensorflow
执行以上指令后，出现了 permission error [winError 5] 的系统权限问题
PermissionError: [WinError 5] 拒绝访问。: 'c:\\programdata\\anaconda3\\lib\\site-packages\\pip\\basecommand.py'
You are using pip version 9.0.1, however version 10.0.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
之前因为选择了添加path 到系统环境变量的选项，导致后来使用Pycharm时无法 import packages, 所以在第二次安装时听从安装过程红色提示建议，没有设置环境变量，这样的就不会影响到其他软件的使用了。但是再重新安装tensorflow 时却又出现了以上 error warning. 现在
即使用了cmd -admin, 还是不行，经过几番折腾，终于找到了解决方法。
首先 需要临时将以下路径添加到系统环境变量path中：
C:\ProgramData\Anaconda3
C:\ProgramData\Anaconda3\Scripts
也就是设置Anaconda的系统环境变量，然后用win 10 的 powershell的管理员身份执行指令。但是要注意一点： 在执行完所需要的更新和安装包，要把以上设置的Anaconda环境变量删除掉，恢复原状，以免与其他软件发生冲突。以下是安装成功的代码：
Windows PowerShell
版权所有 (C) Microsoft Corporation。保留所有权利。
PS C:\WINDOWS\system32> conda confg
CommandNotFoundError: No command 'conda confg'.
Did you mean 'conda config'?
PS C:\WINDOWS\system32> conda config
usage: conda config [-h] [--json] [--debug] [--verbose]
[--system | --env | --file FILE]
(--show [SHOW [SHOW ...]] | --show-sources | --validate | --describe [DESCRIBE [DESCRIBE ...]] | --write-default | --get [KEY [KEY ...]] | --append KEY VALUE | --prepend KEY VALUE | --set KEY VALUE | --remove KEY VALUE | --remove-key KEY | --stdin)
conda config: error: one of the arguments --show --show-sources --validate --describe --write-default --get --append --prepend/--add --set --remove --remove-key --stdin is required
PS C:\WINDOWS\system32> conda list
# packages in environment at C:\ProgramData\Anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36he6757f0_0
absl-py 0.2.0
alabaster 0.7.10 py36hcd07829_0
anaconda 5.1.0 py36_2
anaconda-client 1.6.9 py36_0
anaconda-navigator 1.7.0 py36_0
anaconda-project 0.8.2 py36hfad2e28_0
asn1crypto 0.24.0 py36_0
astor 0.6.2
astroid 1.6.1 py36_0
astropy 2.0.3 py36hfa6e2cd_0
attrs 17.4.0 py36_0
babel 2.5.3 py36_0
backports 1.0 py36h81696a8_1
backports.shutil_get_terminal_size 1.0.0 py36h79ab834_2
beautifulsoup4 4.6.0 py36hd4cc5e8_1
bitarray 0.8.1 py36hfa6e2cd_1
bkcharts 0.2 py36h7e685f7_0
blaze 0.11.3 py36h8a29ca5_0
bleach 2.1.2 py36_0
bokeh 0.12.13 py36h047fa9f_0
boto 2.48.0 py36h1a776d2_1
bottleneck 1.2.1 py36hd119dfa_0
bzip2 1.0.6 hbe05fcf_4
ca-certificates 2017.08.26 h94faf87_0
certifi 2018.1.18 py36_0
cffi 1.11.4 py36hfa6e2cd_0
chardet 3.0.4 py36h420ce6e_1
click 6.7 py36hec8c647_0
cloudpickle 0.5.2 py36_1
clyent 1.2.2 py36hb10d595_1
colorama 0.3.9 py36h029ae33_0
comtypes 1.1.4 py36_0
conda 4.4.10 py36_0
conda-build 3.4.1 py36_0
conda-env 2.6.0 h36134e3_1
conda-verify 2.0.0 py36h065de53_0
console_shortcut 0.1.1 h6bb2dd7_3
contextlib2 0.5.5 py36he5d52c0_0
cryptography 2.1.4 py36he1d7878_0
curl 7.58.0 h7602738_0
cycler 0.10.0 py36h009560c_0
cython 0.27.3 py36h22f4c84_0
cytoolz 0.9.0 py36hfa6e2cd_0
dask 0.16.1 py36_0
dask-core 0.16.1 py36_0
datashape 0.5.4 py36h5770b85_0
decorator 4.2.1 py36_0
distributed 1.20.2 py36_0
docutils 0.14 py36h6012d8f_0
entrypoints 0.2.3 py36hfd66bb0_2
et_xmlfile 1.0.1 py36h3d2d736_0
fastcache 1.0.2 py36hfa6e2cd_2
filelock 2.0.13 py36h20000bf_0
flask 0.12.2 py36h98b5e8f_0
flask-cors 3.0.3 py36h8a3855d_0
freetype 2.8 h51f8f2c_1
gast 0.2.0
get_terminal_size 1.0.0 h38e98db_0
gevent 1.2.2 py36h342a76c_0
glob2 0.6 py36hdf76b57_0
greenlet 0.4.12 py36ha00ad21_0
grpcio 1.11.0
h5py 2.7.1 py36he54a1c3_0
hdf5 1.10.1 h98b8871_1
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36h047fa9f_0
icc_rt 2017.0.4 h97af966_0
icu 58.2 ha66f8fd_1
idna 2.6 py36h148d497_1
imageio 2.2.0 py36had6c2d2_0
imagesize 0.7.1 py36he29f638_0
intel-openmp 2018.0.0 hd92c6cd_8
ipykernel 4.8.0 py36_0
ipython 6.2.1 py36h9cf0123_1
ipython_genutils 0.2.0 py36h3c5d0ee_0
ipywidgets 7.1.1 py36_0
isort 4.2.15 py36h6198cc5_0
itsdangerous 0.24 py36hb6c5a24_1
jdcal 1.3 py36h64a5255_0
jedi 0.11.1 py36_0
jinja2 2.10 py36h292fed1_0
jpeg 9b hb83a4c4_2
jsonschema 2.6.0 py36h7636477_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.2 py36_0
jupyter_console 5.2.0 py36h6d89b47_1
jupyter_core 4.4.0 py36h56e9d50_0
jupyterlab 0.31.4 py36_0
jupyterlab_launcher 0.10.2 py36_0
lazy-object-proxy 1.3.1 py36hd1c21d2_0
libcurl 7.58.0 h7602738_0
libiconv 1.15 h1df5818_7
libpng 1.6.34 h79bbb47_0
libssh2 1.8.0 hd619d38_4
libtiff 4.0.9 h0f13578_0
libxml2 2.9.7 h79bbb47_0
libxslt 1.1.32 hf6f1972_0
llvmlite 0.21.0 py36he0b0552_0
locket 0.2.0 py36hfed976d_1
lxml 4.1.1 py36hef2cd61_1
lzo 2.10 h6df0209_2
markupsafe 1.0 py36h0e26971_1
matplotlib 2.1.2 py36h016c42a_0
mccabe 0.6.1 py36hb41005a_1
menuinst 1.4.11 py36hfa6e2cd_0
mistune 0.8.3 py36_0
mkl 2018.0.1 h2108138_4
mkl-service 1.1.2 py36h57e144c_4
mpmath 1.0.0 py36hacc8adf_2
msgpack-python 0.5.1 py36he980bc4_0
multipledispatch 0.4.9 py36he44c36e_0
navigator-updater 0.1.0 py36h8a7b86b_0
nbconvert 5.3.1 py36h8dc0fde_0
nbformat 4.4.0 py36h3a5bc1b_0
networkx 2.1 py36_0
nltk 3.2.5 py36h76d52bb_0
nose 1.3.7 py36h1c3779e_2
notebook 5.4.0 py36_0
numba 0.36.2 np114py36h12cb543_0
numexpr 2.6.4 py36h30784b8_0
numpy 1.14.0 py36h4a99626_1
numpydoc 0.7.0 py36ha25429e_0
odo 0.5.1 py36h7560279_0
olefile 0.45.1 py36_0
openpyxl 2.4.10 py36_0
openssl 1.0.2n h74b6da3_0
packaging 16.8 py36ha0986f6_1
pandas 0.22.0 py36h6538335_0
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py36h3ef6317_1
parso 0.1.1 py36hae3edee_0
partd 0.3.8 py36hc8e763b_0
path.py 10.5 py36h2b94a8f_0
pathlib2 2.3.0 py36h7bfb78b_0
patsy 0.5.0 py36_0
pep8 1.7.1 py36_0
pickleshare 0.7.4 py36h9de030f_0
pillow 5.0.0 py36h0738816_0
pip 9.0.1 py36h226ae91_4
pkginfo 1.4.1 py36hb0f9cfa_1
pluggy 0.6.0 py36hc7daf1e_0
ply 3.10 py36h1211beb_0
prompt_toolkit 1.0.15 py36h60b8f86_0
protobuf 3.5.2.post1
psutil 5.4.3 py36hfa6e2cd_0
py 1.5.2 py36hbcfbabc_0
pycodestyle 2.3.1 py36h7cc55cd_0
pycosat 0.6.3 py36h413d8a4_0
pycparser 2.18 py36hd053e01_1
pycrypto 2.6.1 py36hfa6e2cd_7
pycurl 7.43.0.1 py36h74b6da3_0
pyflakes 1.6.0 py36h0b975d6_0
pygments 2.2.0 py36hb010967_0
pylint 1.8.2 py36_0
pyodbc 4.0.22 py36h6538335_0
pyopenssl 17.5.0 py36h5b7d817_0
pyparsing 2.2.0 py36h785a196_1
pyqt 5.6.0 py36hb5ed885_5
pysocks 1.6.7 py36h698d350_1
pytables 3.4.2 py36h71138e3_2
pytest 3.3.2 py36_0
python 3.6.4 h6538335_1
python-dateutil 2.6.1 py36h509ddcb_1
pytz 2017.3 py36h1d3fa6b_0
pywavelets 0.5.2 py36hc649158_0
pywin32 222 py36hfa6e2cd_0
pywinpty 0.5 py36h6538335_1
pyyaml 3.12 py36h1d1928f_1
pyzmq 16.0.3 py36he714bf5_0
qt 5.6.2 vc14h6f8c307_12 [vc14]
qtawesome 0.4.4 py36h5aa48f6_0
qtconsole 4.3.1 py36h99a29a9_0
qtpy 1.3.1 py36hb8717c5_0
requests 2.18.4 py36h4371aae_1
rope 0.10.7 py36had63a69_0
ruamel_yaml 0.15.35 py36hfa6e2cd_1
scikit-image 0.13.1 py36hfa6e2cd_1
scikit-learn 0.19.1 py36h53aea1b_0
scipy 1.0.0 py36h1260518_0
seaborn 0.8.1 py36h9b69545_0
send2trash 1.4.2 py36_0
setuptools 38.4.0 py36_0
simplegeneric 0.8.1 py36_2
singledispatch 3.4.0.3 py36h17d0c80_0
sip 4.18.1 py36h9c25514_2
six 1.11.0 py36h4db2310_1
snowballstemmer 1.2.1 py36h763602f_0
sortedcollections 0.5.3 py36hbefa0ab_0
sortedcontainers 1.5.9 py36_0
sphinx 1.6.6 py36_0
sphinxcontrib 1.0 py36hbbac3d2_1
sphinxcontrib-websupport 1.0.1 py36hb5e5916_1
spyder 3.2.6 py36_0
sqlalchemy 1.2.1 py36hfa6e2cd_0
sqlite 3.22.0 h9d3ae62_0
statsmodels 0.8.0 py36h6189b4c_0
sympy 1.1.1 py36h96708e0_0
tblib 1.3.2 py36h30f5020_0
termcolor 1.1.0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h2698cfe_0
tk 8.6.7 hcb92d03_3
toolz 0.9.0 py36_0
tornado 4.5.3 py36_0
traitlets 4.3.2 py36h096827d_0
typing 3.6.2 py36hb035bda_0
unicodecsv 0.14.1 py36h6450c06_0
urllib3 1.22 py36h276f60a_0
vc 14 h0510ff6_3
vs2015_runtime 14.0.25123 3
wcwidth 0.1.7 py36h3d5aa90_0
webencodings 0.5.1 py36h67c50ae_1
werkzeug 0.14.1 py36_0
wheel 0.30.0 py36h6c3ec14_1
widgetsnbextension 3.1.0 py36_0
win_inet_pton 1.0.1 py36he67d7fd_1
win_unicode_console 0.5 py36hcdbd4b5_0
wincertstore 0.2 py36h7fe50ca_0
winpty 0.4.3 4
wrapt 1.10.11 py36he5f5981_0
xlrd 1.1.0 py36h1cb58dc_1
xlsxwriter 1.0.2 py36hf723b7d_0
xlwings 0.11.5 py36_0
xlwt 1.3.0 py36h1a4751e_0
yaml 0.1.7 hc54c509_2
zict 0.1.3 py36h2d8e73e_0
zlib 1.2.11 h8395fce_2
####################################################################
PS C:\WINDOWS\system32> conda --version
conda 4.4.10
PS C:\WINDOWS\system32> conda upgrade conda
Solving environment: done
## Package Plan ##
environment location: C:\ProgramData\Anaconda3
added / updated specs:
- conda
The following packages will be UPDATED:
conda: 4.4.10-py36_0 --> 4.5.1-py36_0
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
###########################################33
PS C:\WINDOWS\system32> pip --version
pip 9.0.1 from C:\ProgramData\Anaconda3\lib\site-packages (python 3.6)
########################################################
PS C:\WINDOWS\system32> activate tensorflow
PS C:\WINDOWS\system32> pip install --ignore-installed --upgrade tensorflow
Collecting tensorflow
Using cached https://files.pythonhosted.org/packages/35/f6/8af765c7634bc72a902c50d6e7664cd1faac6128e7362510b0234d93c974/tensorflow-1.7.0-cp36-cp36m-win_amd64.whl
Collecting wheel>=0.26 (from tensorflow)
Using cached https://files.pythonhosted.org/packages/1b/d2/22cde5ea9af055f81814f9f2545f5ed8a053eb749c08d186b369959189a8/wheel-0.31.0-py2.py3-none-any.whl
Collecting absl-py>=0.1.6 (from tensorflow)
Collecting termcolor>=1.1.0 (from tensorflow)
Collecting six>=1.10.0 (from tensorflow)
Using cached https://files.pythonhosted.org/packages/67/4b/141a581104b1f6397bfa78ac9d43d8ad29a7ca43ea90a2d863fe3056e86a/six-1.11.0-py2.py3-none-any.whl
Collecting astor>=0.6.0 (from tensorflow)
Using cached https://files.pythonhosted.org/packages/b2/91/cc9805f1ff7b49f620136b3a7ca26f6a1be2ed424606804b0fbcf499f712/astor-0.6.2-py2.py3-none-any.whl
Collecting tensorboard<1.8.0,>=1.7.0 (from tensorflow)
Using cached https://files.pythonhosted.org/packages/0b/ec/65d4e8410038ca2a78c09034094403d231228d0ddcae7d470b223456e55d/tensorboard-1.7.0-py3-none-any.whl
Collecting numpy>=1.13.3 (from tensorflow)
Using cached https://files.pythonhosted.org/packages/30/70/cd94a1655d082b8f024b21af1eb13dd0f3035ffe78ff43d4ff9bb97baa5f/numpy-1.14.2-cp36-none-win_amd64.whl
Collecting gast>=0.2.0 (from tensorflow)
Collecting protobuf>=3.4.0 (from tensorflow)
Using cached https://files.pythonhosted.org/packages/32/cf/6945106da76db9b62d11b429aa4e062817523bb587018374c77f4b63200e/protobuf-3.5.2.post1-cp36-cp36m-win_amd64.whl
Collecting grpcio>=1.8.6 (from tensorflow)
Using cached https://files.pythonhosted.org/packages/80/7e/d5ee3ef92822b01e3a274230200baf2454faae64e3d7f436b093ff771a17/grpcio-1.11.0-cp36-cp36m-win_amd64.whl
Collecting markdown>=2.6.8 (from tensorboard<1.8.0,>=1.7.0->tensorflow)
Using cached https://files.pythonhosted.org/packages/6d/7d/488b90f470b96531a3f5788cf12a93332f543dbab13c423a5e7ce96a0493/Markdown-2.6.11-py2.py3-none-any.whl
Collecting html5lib==0.9999999 (from tensorboard<1.8.0,>=1.7.0->tensorflow)
Collecting werkzeug>=0.11.10 (from tensorboard<1.8.0,>=1.7.0->tensorflow)
Using cached https://files.pythonhosted.org/packages/20/c4/12e3e56473e52375aa29c4764e70d1b8f3efa6682bef8d0aae04fe335243/Werkzeug-0.14.1-py2.py3-none-any.whl
Collecting bleach==1.5.0 (from tensorboard<1.8.0,>=1.7.0->tensorflow)
Using cached https://files.pythonhosted.org/packages/33/70/86c5fec937ea4964184d4d6c4f0b9551564f821e1c3575907639036d9b90/bleach-1.5.0-py2.py3-none-any.whl
Collecting setuptools (from protobuf>=3.4.0->tensorflow)
Using cached https://files.pythonhosted.org/packages/20/d7/04a0b689d3035143e2ff288f4b9ee4bf6ed80585cc121c90bfd85a1a8c2e/setuptools-39.0.1-py2.py3-none-any.whl
Installing collected packages: wheel, six, absl-py, termcolor, astor, numpy, markdown, html5lib, werkzeug, bleach, setuptools, protobuf, tensorboard, gast, grpcio, tensorflow
Successfully installed absl-py-0.2.0 astor-0.6.2 bleach-2.1.2 gast-0.2.0 grpcio-1.11.0 html5lib-1.0.1 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 setuptools-39.0.1 six-1.11.0 tensorboard-1.7.0 tensorflow-1.7.0 termcolor-1.1.0 werkzeug-0.14.1 wheel-0.31.0
You are using pip version 9.0.1, however version 10.0.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
##########################################################
PS C:\WINDOWS\system32> python -m pip install --upgrade pip
Collecting pip
Using cached https://files.pythonhosted.org/packages/0f/74/ecd13431bcc456ed390b44c8a6e917c1820365cbebcb6a8974d1cd045ab4/pip-10.0.1-py2.py3-none-any.whl
Installing collected packages: pip
Found existing installation: pip 9.0.1
Uninstalling pip-9.0.1:
Successfully uninstalled pip-9.0.1
Successfully installed pip-10.0.1
###########################################
PS C:\WINDOWS\system32> pip --version
pip 10.0.1 from c:\programdata\anaconda3\lib\site-packages\pip (python 3.6)
PS C:\WINDOWS\system32> conda --version
conda 4.5.1
PS C:\WINDOWS\system32>
##################################################
PS C:\WINDOWS\system32> conda list
# packages in environment at C:\ProgramData\Anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36he6757f0_0
absl-py 0.2.0
alabaster 0.7.10 py36hcd07829_0
anaconda 5.1.0 py36_2
anaconda-client 1.6.9 py36_0
anaconda-navigator 1.7.0 py36_0
anaconda-project 0.8.2 py36hfad2e28_0
asn1crypto 0.24.0 py36_0
astor 0.6.2
......
sympy 1.1.1 py36h96708e0_0
tblib 1.3.2 py36h30f5020_0
tensorboard 1.7.0
tensorflow 1.7.0
termcolor 1.1.0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h2698cfe_0
tk 8.6.7 hcb92d03_3
toolz 0.9.0 py36_0
tornado
......
---------------------------------------------------------