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conda create n anaconda不会安装完整的anaconda包
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<p>我想用默认的Python包创建一个python3.6env。手册和许多在线资源都说这个命令是<code>conda create -n py36 python=3.6 anaconda</code>。在其他可以正常工作的计算机上,但是在一台特定的计算机上它只安装很少的软件包。我不明白为什么。我检查了<code>$HOME/anaconda2/env</code>,里面什么也没有。 (Ubuntu16.04,安装于anaconda,而不是miniconda)</p> <pre><code>$ conda update anaconda Solving environment: done # All requested packages already installed. $ conda update conda Solving environment: done # All requested packages already installed. $conda create -n py36 python=3.6 anaconda Solving environment: done ## Package Plan ## environment location: /home/memo/anaconda2/envs/py36 added / updated specs: - anaconda - python=3.6 The following NEW packages will be INSTALLED: anaconda: custom-py36hbbc8b67_0 ca-certificates: 2018.10.15-ha4d7672_0 conda-forge certifi: 2018.10.15-py36_1000 conda-forge libffi: 3.2.1-hfc679d8_5 conda-forge libgcc-ng: 7.2.0-hdf63c60_3 conda-forge libstdcxx-ng: 7.2.0-hdf63c60_3 conda-forge ncurses: 6.1-hfc679d8_1 conda-forge openssl: 1.0.2p-h470a237_1 conda-forge pip: 18.1-py36_1000 conda-forge python: 3.6.6-h5001a0f_3 conda-forge readline: 7.0-haf1bffa_1 conda-forge setuptools: 40.5.0-py36_0 conda-forge sqlite: 3.25.3-hb1c47c0_0 conda-forge tk: 8.6.8-ha92aebf_0 conda-forge wheel: 0.32.2-py36_0 conda-forge xz: 5.2.4-h470a237_1 conda-forge zlib: 1.2.11-h470a237_3 conda-forge Proceed ([y]/n)? n $ conda list # packages in environment at /home/memo/anaconda2: # # Name Version Build Channel _ipyw_jlab_nb_ext_conf 0.1.0 py27h08a7f0c_0 absl-py 0.6.1 <pip> absl-py 0.5.0 <pip> alabaster 0.7.10 py27he5a193a_0 anaconda custom py27h4a00acb_0 anaconda-client 1.6.9 py27_0 anaconda-navigator 1.8.4 py27_0 anaconda-project 0.8.2 py27h236b58a_0 asn1crypto 0.24.0 py27_0 astor 0.7.1 <pip> astroid 1.6.1 py27_0 astropy 2.0.3 py27h14c3975_0 attrs 17.4.0 py27_0 audioread 2.1.4 py27_1 conda-forge babel 2.5.3 py27_0 backports 1.0 py27h63c9359_1 backports.functools_lru_cache 1.4 py27he8db605_1 backports.shutil_get_terminal_size 1.0.0 py27h5bc021e_2 backports.weakref 1.0.post1 <pip> backports_abc 0.5 py27h7b3c97b_0 beautifulsoup4 4.6.0 py27h3f86ba9_1 bibtexparser 1.0.1 <pip> bitarray 0.8.1 py27h14c3975_1 bkcharts 0.2 py27h241ae91_0 blas 1.0 mkl blaze 0.11.3 py27h5f341da_0 bleach 1.5.0 <pip> bleach 2.1.2 py27_0 blosc 1.14.4 hfc679d8_0 conda-forge bokeh 0.12.13 py27h5233db4_0 boost 1.59.0 py27_0 menpo boto 2.48.0 py27h9556ac2_1 bottleneck 1.2.1 py27h21b16a3_0 bzip2 1.0.6 h9a117a8_4 ca-certificates 2018.10.15 ha4d7672_0 conda-forge cairo 1.14.6 4 conda-forge cdecimal 2.3 py27h14c3975_3 certifi 2018.10.15 py27_1000 conda-forge cffi 1.11.4 py27h9745a5d_0 cgal-bindings 1.2 <pip> chardet 3.0.4 py27hfa10054_1 click 6.7 py27h4225b90_0 cloudpickle 0.5.2 py27_1 clyent 1.2.2 py27h7276e6c_1 colorama 0.3.9 py27h5cde069_0 conda 4.5.11 py27_1000 conda-forge conda-build 3.4.1 py27_0 conda-env 2.6.0 h36134e3_1 conda-verify 2.0.0 py27hf052a9d_0 configparser 3.5.0 py27h5117587_0 contextlib2 0.5.5 py27hbf4c468_0 cryptography 2.3.1 py27hdffb7b8_0 conda-forge cryptography-vectors 2.3.1 py27_1000 conda-forge curl 7.61.0 h93b3f91_2 conda-forge cycler 0.10.0 py27hc7354d3_0 cython 0.27.3 py27hc56b35e_0 cytoolz 0.9.0 py27h14c3975_0 dask 0.16.1 py27_0 dask-core 0.16.1 py27_0 datashape 0.5.4 py27hf507385_0 dbus 1.13.0 h3a4f0e9_0 conda-forge decorator 4.3.0 <pip> decorator 4.2.1 py27_0 distributed 1.20.2 py27_0 dlib 19.16.0 <pip> dlib 19.4 py27_0 menpo docopt 0.6.2 <pip> docutils 0.14 py27hae222c1_0 dominate 2.3.4 <pip> dxfwrite 1.2.1 <pip> entrypoints 0.2.3 py27h502b47d_2 enum34 1.1.6 py27h99a27e9_1 enum34 1.1.6 <pip> et_xmlfile 1.0.1 py27h75840f5_0 expat 2.2.5 he0dffb1_0 fastcache 1.0.2 py27h14c3975_2 ffmpeg 3.1.3 0 menpo filelock 2.0.13 py27h61a9c69_0 flask 0.12.2 py27h6d5c1cd_0 flask-cors 3.0.3 py27h1a8a27f_0 flickr-api 0.6.1 <pip> fontconfig 2.12.1 4 conda-forge freetype 2.7 1 conda-forge funcsigs 1.0.2 <pip> funcsigs 1.0.2 py27h83f16ab_0 functools32 3.2.3.2 py27h4ead58f_1 future 0.17.1 py27_0 anaconda futures 3.2.0 py27h7b459c0_0 futures 3.2.0 <pip> gast 0.2.0 <pip> geomstats 1.5 <pip> get_terminal_size 1.0.0 haa9412d_0 gettext 0.19.8.1 h5e8e0c9_1 conda-forge gevent 1.2.2 py27h475ea6a_0 glib 2.51.4 0 conda-forge glob2 0.6 py27hcea9cbd_0 gmp 6.1.2 h6c8ec71_1 gmpy2 2.0.8 py27h4cf3fa8_2 graphite2 1.3.10 hf63cedd_1 greenlet 0.4.12 py27hac09c53_0 grin 1.2.1 py27_4 grpcio 1.15.0 <pip> grpcio 1.16.0 <pip> gst-plugins-base 1.8.0 0 conda-forge gstreamer 1.8.0 1 conda-forge h5py 2.8.0 <pip> h5py 2.8.0 py27hb794570_1 conda-forge harfbuzz 1.4.3 0 conda-forge hdf5 1.10.2 hc401514_1 conda-forge heapdict 1.0.0 py27_2 html5lib 0.9999999 <pip> html5lib 1.0.1 py27h5233db4_0 httplib2 0.11.3 <pip> icu 58.2 hfc679d8_0 conda-forge idna 2.6 py27h5722d68_1 idna 2.7 <pip> imageio 2.4.1 py_0 conda-forge imagesize 0.7.1 py27hd17bf80_0 imutils 0.5.1 <pip> intel-openmp 2018.0.0 hc7b2577_8 ipaddress 1.0.19 py27_0 ipykernel 4.8.0 py27_0 ipython 5.4.1 py27_2 ipython_genutils 0.2.0 py27h89fb69b_0 ipywidgets 7.1.1 py27_0 isort 4.2.15 py27hcfa4749_0 itsdangerous 0.24 py27hb8295c1_1 jbig 2.1 hdba287a_0 jdcal 1.3 py27h2cc5433_0 jedi 0.11.1 py27_0 jinja2 2.10 py27h4114e70_0 <a href="https://www.cnpython.com/pypi/joblib" class="inner-link">joblib</a> 0.12.5 py_0 conda-forge jpeg 9c h470a237_1 conda-forge jsonschema 2.6.0 py27h7ed5aa4_0 jupyter 1.0.0 py27_4 jupyter_client 5.2.2 py27_0 jupyter_console 5.2.0 py27hc6bee7e_1 jupyter_core 4.4.0 py27h345911c_0 jupyterlab 0.31.5 py27_0 jupyterlab_launcher 0.10.2 py27_0 Keras 2.2.2 <pip> Keras-Applications 1.0.6 <pip> Keras-Preprocessing 1.0.5 <pip> kiwisolver 1.0.1 py27_1 conda-forge krb5 1.14.6 0 conda-forge lazy-object-proxy 1.3.1 py27h682c727_0 libcurl 7.61.1 heec0ca6_0 libedit 3.1.20170329 haf1bffa_1 conda-forge libffi 3.2.1 hd88cf55_4 libgcc 7.2.0 h69d50b8_2 conda-forge libgcc-ng 8.2.0 hdf63c60_1 anaconda libgfortran 3.0.0 1 libgfortran-ng 7.2.0 h9f7466a_2 libiconv 1.15 h470a237_3 conda-forge libopenblas 0.2.20 h9ac9557_7 libopus 1.2.1 hb9ed12e_0 libpng 1.6.34 hb9fc6fc_0 librosa 0.6.2 py_0 conda-forge libsodium 1.0.15 hf101ebd_0 libssh2 1.8.0 h5b517e9_2 conda-forge libstdcxx-ng 8.2.0 hdf63c60_1 anaconda libtiff 4.0.7 1 conda-forge libtool 2.4.6 h544aabb_3 libuuid 2.32.1 h470a237_2 conda-forge libvpx 1.6.1 h888fd40_0 libxcb 1.12 hcd93eb1_4 libxml2 2.9.8 h422b904_5 conda-forge libxslt 1.1.32 h88dbc4e_2 conda-forge linecache2 1.0.0 py27_0 conda-forge llvmlite 0.23.0 py27_1 conda-forge locket 0.2.0 py27h73929a2_1 lws 1.2 <pip> lxml 4.1.1 py27hdd00cef_0 lzo 2.10 h49e0be7_2 Markdown 3.0.1 <pip> markupsafe 1.0 py27h97b2822_1 matplotlib 2.1.0 py27_0 conda-forge mccabe 0.6.1 py27h0e7c7be_1 mido 1.2.9 <pip> mistune 0.8.3 py27_0 mkl 2018.0.3 1 mkl-service 1.1.2 py27hb2d42c5_4 mkl_fft 1.0.5 py27_0 conda-forge mkl_random 1.0.1 py27_0 conda-forge mock 2.0.0 <pip> moviepy 0.2.3.5 <pip> mpc 1.0.3 hec55b23_5 mpfr 3.1.5 h11a74b3_2 mpmath 1.0.0 py27h9669132_2 msgpack-python 0.5.1 py27h6bb024c_0 multipledispatch 0.4.9 py27h9b5f95a_0 navigator-updater 0.2.0 py27_0 nbconvert 5.3.1 py27he041f76_0 nbformat 4.4.0 py27hed7f2b2_0 ncurses 6.1 hfc679d8_1 conda-forge networkx 2.1 py27_0 ninja 1.8.2 h2d50403_1 conda-forge nltk 3.2.5 py27hec5f4de_0 nose 1.3.7 py27heec2199_2 notebook 5.4.0 py27_0 numba 0.38.1 py27_0 conda-forge numexpr 2.6.6 py27_0 conda-forge numpy 1.15.4 <pip> numpy 1.15.3 py27h1d66e8a_0 numpy 1.14.5 <pip> numpy-base 1.15.3 py27h81de0dd_0 numpy-stl 2.7.0 <pip> numpydoc 0.7.0 py27h9647a75_0 oauth2 1.9.0.post1 <pip> odo 0.5.1 py27h9170de3_0 olefile 0.45.1 py27_0 openblas 0.2.20 8 conda-forge opencv-contrib-python 3.4.3.18 <pip> opencv-python 3.4.3.18 <pip> openpyxl 2.4.10 py27_0 openssl 1.0.2p h470a237_1 conda-forge packaging 16.8 py27h5e07c7c_1 pandas 0.23.0 py27h637b7d7_0 pandoc 1.19.2.1 hea2e7c5_1 pandocfilters 1.4.2 py27h428e1e5_1 pango 1.40.4 0 conda-forge parso 0.1.1 py27h718acc2_0 partd 0.3.8 py27h4e55004_0 patchelf 0.9 hf79760b_2 path.py 10.5 py27hefe4bee_0 pathlib2 2.3.0 py27h6e9d198_0 patsy 0.5.0 py27_0 pbr 5.1.0 <pip> pbr 4.2.0 <pip> pcre 8.39 1 pep8 1.7.1 py27_0 pexpect 4.3.1 py27_0 pickleshare 0.7.4 py27h09770e1_0 Pillow 5.3.0 <pip> Pillow 5.2.0 <pip> pillow 4.3.0 py27_1 conda-forge pip 9.0.1 py27ha730c48_4 pixman 0.34.0 h470a237_3 conda-forge pkginfo 1.4.1 py27hee1a9ad_1 pluggy 0.6.0 py27h1f4f128_0 ply 3.10 py27hd6d9ae5_0 plyfile 0.6 <pip> prompt_toolkit 1.0.15 py27h1b593e1_0 protobuf 3.6.1 <pip> psutil 5.4.3 py27h14c3975_0 ptyprocess 0.5.2 py27h4ccb14c_0 py 1.5.2 py27h203d672_0 PyAudio 0.2.11 <pip> pycairo 1.10.0 py27_0 pycodestyle 2.3.1 py27h904819d_0 pycosat 0.6.3 py27ha4109ae_0 pycparser 2.18 py27hefa08c5_1 pycrypto 2.6.1 py27h14c3975_7 pycurl 7.19.0 py27_0 anaconda pyflakes 1.6.0 py27h904a57d_0 pygame 1.9.4 <pip> pyglet 1.3.2 <pip> pygments 2.2.0 py27h4a8b6f5_0 pylint 1.8.2 py27_0 pymesh2 0.2.0 <pip> pyodbc 4.0.22 py27hf484d3e_0 PyOpenGL 3.1.0 <pip> pyopenssl 17.5.0 py27hcee3be0_0 pyOSC 0.3.5b5294 <pip> pyparsing 2.2.0 py27hf1513f8_1 pyqt 5.6.0 py27h8210e8a_7 conda-forge pyqtgraph 0.10.0 py27h28b3542_3 anaconda pysocks 1.6.7 py27he2db6d2_1 pytables 3.4.4 py27h4f72b40_1 conda-forge pytest 3.3.2 py27_0 python 2.7.11 0 python-dateutil 2.6.1 py27h4ca5741_1 python-rtmidi 1.1.2 <pip> python-utils 2.3.0 <pip> python-xlib 0.23 <pip> pytorch 0.4.1 py27__9.0.176_7.1.2_2 pytorch pytz 2017.3 py27h001bace_0 pywavelets 0.5.2 py27hecda097_0 pyxhook 1.0.0 <pip> PyYAML 3.13 <pip> pyyaml 3.12 py27h2d70dd7_1 pyzmq 17.1.0 <pip> pyzmq 16.0.3 py27hc579512_0 qt 5.6.2 3 conda-forge qtawesome 0.4.4 py27hd7914c3_0 qtconsole 4.3.1 py27hc444b0d_0 qtpy 1.3.1 py27h63d3751_0 readline 6.2 2 requests 2.19.1 <pip> requests 2.18.4 py27hc5b0589_1 resampy 0.2.0 py27_1 conda-forge rope 0.10.7 py27hfe459b0_0 ruamel_yaml 0.15.35 py27h14c3975_1 scandir 1.6 py27hf7388dc_0 scikit-image 0.14.0 py27hf484d3e_1 anaconda scikit-learn 0.20.0 py27h4989274_1 scipy 1.1.0 <pip> scipy 1.1.0 py27hfa4b5c9_1 seaborn 0.8.1 py27h633ea1e_0 send2trash 1.4.2 py27_0 setuptools 39.1.0 <pip> setuptools 38.4.0 py27_0 simplegeneric 0.8.1 py27_2 singledispatch 3.4.0.3 py27h9bcb476_0 sip 4.18 py27_0 six 1.11.0 py27h5f960f1_1 six 1.11.0 <pip> sk-video 1.1.10 <pip> smop 0.41 <pip> snowballstemmer 1.2.1 py27h44e2768_0 sortedcollections 0.5.3 py27h135218e_0 sortedcontainers 1.5.9 py27_0 sphinx 1.6.6 py27_0 sphinxcontrib 1.0 py27h1512b58_1 sphinxcontrib-websupport 1.0.1 py27hf906f22_1 spyder 3.2.6 py27_0 sqlalchemy 1.2.1 py27h14c3975_0 sqlite 3.13.0 1 conda-forge ssl_match_hostname 3.5.0.1 py27h4ec10b9_2 statsmodels 0.8.0 py27hc87d62d_0 subprocess32 3.2.7 py27h373dbce_0 sympy 1.1.1 py27hc28188a_0 tblib 1.3.2 py27h51fe5ba_0 tensorboard 1.11.0 <pip> tensorflow-gpu 1.11.0 <pip> tensorflow-hub 0.1.1 <pip> tensorflowjs 0.6.1 <pip> termcolor 1.1.0 <pip> terminado 0.8.1 py27_1 testpath 0.3.1 py27hc38d2c4_0 tk 8.5.19 2 conda-forge toolz 0.9.0 py27_0 torchfile 0.1.0 py_0 conda-forge torchfile 0.1.0 <pip> torchvision 0.2.1 py27_1 pytorch tornado 5.1 <pip> tornado 4.5.3 py27_0 tqdm 4.28.1 py27h28b3542_0 anaconda traceback2 1.4.0 py27_0 conda-forge traitlets 4.3.2 py27hd6ce930_0 typing 3.6.2 py27h66f49e2_0 unicodecsv 0.14.1 py27h5062da9_0 unittest2 1.1.0 py_0 conda-forge unixodbc 2.3.4 hc36303a_1 urllib3 1.22 py27ha55213b_0 urllib3 1.23 <pip> visdom 0.1.8.4 <pip> vispy 0.5.3 py27_0 conda-forge wcwidth 0.1.7 py27h9e3e1ab_0 webencodings 0.5.1 py27hff10b21_1 websocket-client 0.48.0 <pip> websocket-client 0.48.0 py_0 conda-forge Werkzeug 0.14.1 <pip> werkzeug 0.14.1 py27_0 wheel 0.32.2 <pip> wheel 0.30.0 py27h2bc6bb2_1 wheel 0.32.0 <pip> widgetsnbextension 3.1.0 py27_0 wrapt 1.10.11 py27h04f6869_0 x264 20131218 0 conda-forge xlrd 1.1.0 py27ha77178f_1 xlsxwriter 1.0.2 py27h12cbc6b_0 xlwt 1.3.0 py27h3d85d97_0 xorg-kbproto 1.0.7 h470a237_2 conda-forge xorg-libice 1.0.9 h470a237_4 conda-forge xorg-libsm 1.2.2 h8c8a85c_6 conda-forge xorg-libx11 1.6.6 h470a237_0 conda-forge xorg-libxext 1.3.3 h470a237_4 conda-forge xorg-libxrender 0.9.10 h470a237_2 conda-forge xorg-renderproto 0.11.1 h470a237_2 conda-forge xorg-xextproto 7.3.0 h470a237_2 conda-forge xorg-xproto 7.0.31 h470a237_7 conda-forge xz 5.2.4 h470a237_1 conda-forge yaml 0.1.7 had09818_2 yarg 0.1.9 <pip> zeromq 4.2.2 hbedb6e5_2 zict 0.1.3 py27h12c336c_0 zlib 1.2.11 ha838bed_2 $ conda config --show add_anaconda_token: True add_pip_as_python_dependency: True aggressive_update_packages: - ca-certificates - certifi - openssl allow_non_channel_urls: False allow_softlinks: False always_copy: False always_softlink: False always_yes: None anaconda_upload: None auto_update_conda: True changeps1: True channel_alias: https://conda.anaconda.org channel_priority: True channels: - conda-forge - defaults client_ssl_cert: None client_ssl_cert_key: None clobber: False create_default_packages: [] custom_channels: pkgs/r: https://repo.anaconda.com home/memo/anaconda2/conda-bld: file:// pkgs/main: https://repo.anaconda.com pkgs/pro: https://repo.anaconda.com pkgs/free: https://repo.anaconda.com custom_multichannels: local: ["file:///home/memo/anaconda2/conda-bld"] defaults: ["https://repo.anaconda.com/pkgs/main", "https://repo.anaconda.com/pkgs/free", "https://repo.anaconda.com/pkgs/r", "https://repo.anaconda.com/pkgs/pro"] default_channels: - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/free - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/pro disallowed_packages: [] download_only: False envs_dirs: - /home/memo/anaconda2/envs - /home/memo/.conda/envs force: False json: False local_repodata_ttl: 1 max_shlvl: 2 migrated_channel_aliases: [] no_dependencies: False non_admin_enabled: True notify_outdated_conda: True offline: False override_channels_enabled: True path_conflict: clobber pinned_packages: [] pkgs_dirs: - /home/memo/anaconda2/pkgs - /home/memo/.conda/pkgs proxy_servers: {} quiet: False remote_connect_timeout_secs: 9.15 remote_max_retries: 3 remote_read_timeout_secs: 60.0 report_errors: None rollback_enabled: True safety_checks: warn shortcuts: True show_channel_urls: None ssl_verify: True track_features: [] use_index_cache: False use_pip: True verbosity: 0 whitelist_channels: [] </code></pre>
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1天前
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<p>虽然从全局配置中删除Conda Forge可以解决特定问题,但它可能会影响以前从Conda Forge安装的现有env的未来解决方案。相反,您可以强制<code>anaconda</code>通道,仅用于此特定的env创建:</p> <pre><code>conda create -n py36 -c anaconda override-channels python=3.6 anaconda </code></pre>
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