Anaconda<\/span> \u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3060\u3044\u3076\u6642\u9593\u304c\u7d4c\u904e\u3057\u305f\u3002 \u3059\u308b\u3068\u3001\u65b0\u898f\u8ffd\u52a0\u3055\u308c\u308b\u30d1\u30c3\u30b1\u30fc\u30b8\u3001\u66f4\u65b0\u3055\u308c\u308b\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u4e00\u89a7\u304c\u8868\u793a\u3055\u308c\u308b\u3002<\/p>\n y<\/span> \u30ad\u30fc\u3092\u62bc\u4e0b\u3059\u308c\u3070\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u304c\u5b9f\u884c\u3055\u308c\u308b\u3002<\/p>\n \u4efb\u610f\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u540d xxxxxxxx<\/span> \u3092\u6307\u5b9a\u3059\u308c\u3070\u3088\u3044\u3002 \u30d1\u30c3\u30b1\u30fc\u30b8\u540d\u3068\u30d0\u30fc\u30b8\u30e7\u30f3\u304c\u8868\u793a\u3055\u308c\u308b\u3002<\/p>\n Anaconda\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u624b\u9806\u306f\u3053\u3061\u3089\u3092\u53c2\u7167\u306e\u3053\u3068\u3002 \u3042\u308a\u304c\u3068\u3046\u3054\u3056\u3044\u307e\u3059\u3002m(_ _)m 1. \u3084\u308a\u305f\u3044\u3053\u3068 Anaconda \u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3060\u3044\u3076\u6642\u9593\u304c\u7d4c\u904e\u3057\u305f\u3002 \u305d\u308d\u305d\u308d\u66f4\u65b0\u3057\u3088\u3046\u3068\u601d\u3046\u3002 2. \u3084\u3063\u3066\u307f\u305f (1) \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u542b\u3081\u3066\u5168\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3057\u305f\u3044\u3002 $ conda update –all \u3059\u2026 \u7d9a\u304d\u3092\u8aad\u3080 »<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43,42],"tags":[],"class_list":["post-2781","post","type-post","status-publish","format-standard","hentry","category-anaconda","category-pandas"],"views":12248,"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/2781","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/comments?post=2781"}],"version-history":[{"count":10,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/2781\/revisions"}],"predecessor-version":[{"id":2791,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/2781\/revisions\/2791"}],"wp:attachment":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/media?parent=2781"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/categories?post=2781"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/tags?post=2781"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\u305d\u308d\u305d\u308d\u66f4\u65b0\u3057\u3088\u3046\u3068\u601d\u3046\u3002<\/p>\n2. \u3084\u3063\u3066\u307f\u305f<\/h1>\n
(1) \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u542b\u3081\u3066\u5168\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3057\u305f\u3044\u3002<\/h3>\n
\r\n$ conda update --all\r\n<\/pre>\n
\r\nPackage plan for installation in environment \/home\/hoge\/anaconda3:\r\n\r\nThe following NEW packages will be INSTALLED:\r\n\r\n _libgcc_mutex: 0.1-free\r\n bkcharts: 0.2-py36_0\r\n blas: 1.0-mkl\r\n certifi: 2016.2.28-py36_0\r\n pycodestyle: 2.3.1-py36_0\r\n sphinxcontrib: 1.0-py36_0\r\n sphinxcontrib-websupport: 1.0.1-py36_0\r\n\r\nThe following packages will be UPDATED:\r\n\r\n anaconda: 4.4.0-np112py36_0 --> custom-py36_0\r\n anaconda-navigator: 1.6.2-py36_0 --> 1.6.4-py36_0\r\n astroid: 1.4.9-py36_0 --> 1.5.3-py36_0\r\n astropy: 1.3.2-np112py36_0 --> 2.0.1-np113py36_0\r\n babel: 2.4.0-py36_0 --> 2.5.0-py36_0\r\n bokeh: 0.12.5-py36_1 --> 0.12.7-py36_0\r\n boto: 2.46.1-py36_0 --> 2.48.0-py36_0\r\n bottleneck: 1.2.1-np112py36_0 --> 1.2.1-np113py36_0\r\n chardet: 3.0.3-py36_0 --> 3.0.4-py36_0\r\n cloudpickle: 0.2.2-py36_0 --> 0.4.0-py36_0\r\n conda: 4.3.21-py36_0 --> 4.3.30-py36h5d9f9f4_0\r\n cython: 0.25.2-py36_0 --> 0.26-py36_0\r\n dask: 0.14.3-py36_1 --> 0.15.2-py36_0\r\n dbus: 1.10.10-0 --> 1.10.20-0\r\n decorator: 4.0.11-py36_0 --> 4.1.2-py36_0\r\n distributed: 1.16.3-py36_0 --> 1.18.1-py36_0\r\n docutils: 0.13.1-py36_0 --> 0.14-py36_0\r\n entrypoints: 0.2.2-py36_1 --> 0.2.3-py36_0\r\n flask-cors: 3.0.2-py36_0 --> 3.0.3-py36_0\r\n gevent: 1.2.1-py36_0 --> 1.2.2-py36_0\r\n h5py: 2.7.0-np112py36_0 --> 2.7.0-np113py36_0\r\n hdf5: 1.8.17-1 --> 1.8.17-2\r\n html5lib: 0.999-py36_0 --> 0.9999999-py36_0\r\n idna: 2.5-py36_0 --> 2.6-py36_0\r\n ipython: 5.3.0-py36_0 --> 6.1.0-py36_0\r\n isort: 4.2.5-py36_0 --> 4.2.15-py36_0\r\n jupyter_client: 5.0.1-py36_0 --> 5.1.0-py36_0\r\n jupyter_console: 5.1.0-py36_0 --> 5.2.0-py36_0\r\n lazy-object-proxy: 1.2.2-py36_0 --> 1.3.1-py36_0\r\n libgcc: 4.8.5-2 --> 5.2.0-0\r\n libpng: 1.6.27-0 --> 1.6.30-1\r\n llvmlite: 0.18.0-py36_0 --> 0.20.0-py36_0\r\n lxml: 3.7.3-py36_0 --> 3.8.0-py36_0\r\n markupsafe: 0.23-py36_2 --> 1.0-py36_0\r\n matplotlib: 2.0.2-np112py36_0 --> 2.0.2-np113py36_0\r\n mkl: 2017.0.1-0 --> 2017.0.3-0\r\n nbconvert: 5.1.1-py36_0 --> 5.2.1-py36_0\r\n nbformat: 4.3.0-py36_0 --> 4.4.0-py36_0\r\n nltk: 3.2.3-py36_0 --> 3.2.4-py36_0\r\n numba: 0.33.0-np112py36_0 --> 0.35.0-np113py36_0\r\n numexpr: 2.6.2-np112py36_0 --> 2.6.2-np113py36_0\r\n numpy: 1.12.1-py36_0 --> 1.13.1-py36_0\r\n numpydoc: 0.6.0-py36_0 --> 0.7.0-py36_0\r\n odo: 0.5.0-py36_1 --> 0.5.1-py36_0\r\n openpyxl: 2.4.7-py36_0 --> 2.4.8-py36_0\r\n pandas: 0.20.1-np112py36_0 --> 0.20.3-py36_0\r\n pandocfilters: 1.4.1-py36_0 --> 1.4.2-py36_0\r\n pathlib2: 2.2.1-py36_0 --> 2.3.0-py36_0\r\n pillow: 4.1.1-py36_0 --> 4.2.1-py36_0\r\n prompt_toolkit: 1.0.14-py36_0 --> 1.0.15-py36_0\r\n ptyprocess: 0.5.1-py36_0 --> 0.5.2-py36_0\r\n py: 1.4.33-py36_0 --> 1.4.34-py36_0\r\n pycparser: 2.17-py36_0 --> 2.18-py36_0\r\n pyflakes: 1.5.0-py36_0 --> 1.6.0-py36_0\r\n pylint: 1.6.4-py36_1 --> 1.7.2-py36_0\r\n pyodbc: 4.0.16-py36_0 --> 4.0.17-py36_0\r\n pyparsing: 2.1.4-py36_0 --> 2.2.0-py36_0\r\n pytables: 3.3.0-np112py36_0 --> 3.4.2-np113py36_0\r\n pytest: 3.0.7-py36_0 --> 3.2.1-py36_0\r\n python: 3.6.1-2 --> 3.6.2-0\r\n python-dateutil: 2.6.0-py36_0 --> 2.6.1-py36_0\r\n pywavelets: 0.5.2-np112py36_0 --> 0.5.2-np113py36_0\r\n qt: 5.6.2-4 --> 5.6.2-5\r\n qtconsole: 4.3.0-py36_0 --> 4.3.1-py36_0\r\n qtpy: 1.2.1-py36_0 --> 1.3.1-py36_0\r\n scikit-image: 0.13.0-np112py36_0 --> 0.13.0-np113py36_0\r\n scikit-learn: 0.18.1-np112py36_1 --> 0.19.0-np113py36_0\r\n scipy: 0.19.0-np112py36_0 --> 0.19.1-np113py36_0\r\n seaborn: 0.7.1-py36_0 --> 0.8-py36_0\r\n setuptools: 27.2.0-py36_0 --> 36.4.0-py36_1\r\n sphinx: 1.5.6-py36_0 --> 1.6.3-py36_0\r\n spyder: 3.1.4-py36_0 --> 3.2.3-py36_0\r\n sqlalchemy: 1.1.9-py36_0 --> 1.1.13-py36_0\r\n statsmodels: 0.8.0-np112py36_0 --> 0.8.0-np113py36_0\r\n sympy: 1.0-py36_0 --> 1.1.1-py36_0\r\n testpath: 0.3-py36_0 --> 0.3.1-py36_0\r\n tornado: 4.5.1-py36_0 --> 4.5.2-py36_0\r\n widgetsnbextension: 2.0.0-py36_0 --> 3.0.2-py36_0\r\n wrapt: 1.10.10-py36_0 --> 1.10.11-py36_0\r\n xlrd: 1.0.0-py36_0 --> 1.1.0-py36_0\r\n xlsxwriter: 0.9.6-py36_0 --> 0.9.8-py36_0\r\n xlwt: 1.2.0-py36_0 --> 1.3.0-py36_0\r\n xz: 5.2.2-1 --> 5.2.3-0\r\n zlib: 1.2.8-3 --> 1.2.11-0\r\n\r\nProceed ([y]\/n)?\r\n<\/pre>\n
(2) \u4efb\u610f\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3060\u3051\u3092\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3057\u305f\u3044\u3002<\/h3>\n
\n\u30d1\u30c3\u30b1\u30fc\u30b8\u540d \u306f\u3001\u524d\u8ff0\u306e (1)\u306b\u8a18\u3057\u305f\u4e00\u89a7\u306e\u5de6\u7aef\u5217\u306b\u8868\u793a\u3055\u308c\u3066\u3044\u308b\u3082\u306e\u3060\u3002<\/p>\n\r\n$ conda update xxxxxxxx<\/span>\r\n<\/pre>\n(3) \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308b\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4e00\u89a7\u8868\u793a\u3057\u305f\u3044\u3002<\/h3>\n
\r\n$ conda list\r\n<\/pre>\n
\r\n# packages in environment at \/home\/hoge\/anaconda3:\r\n#\r\n_libgcc_mutex 0.1 free\r\n_license 1.1 py36_1\r\nalabaster 0.7.10 py36_0\r\nanaconda custom py36_0\r\nanaconda-client 1.6.3 py36_0\r\nanaconda-navigator 1.6.4 py36_0\r\nanaconda-project 0.6.0 py36_0\r\nasn1crypto 0.22.0 py36_0\r\nastroid 1.5.3 py36_0\r\nastropy 2.0.1 np113py36_0\r\nbabel 2.5.0 py36_0\r\nbackports 1.0 py36_0\r\nbeautifulsoup4 4.6.0 py36_0\r\nbitarray 0.8.1 py36_0\r\nbkcharts 0.2 py36_0\r\nblas 1.0 mkl\r\nblaze 0.10.1 py36_0\r\nbleach 1.5.0 py36_0\r\nbokeh 0.12.7 py36_0\r\nboto 2.48.0 py36_0\r\nbottleneck 1.2.1 np113py36_0\r\ncairo 1.14.8 0\r\n\u3000\uff1a\r\n\u4ee5\u4e0b\u7701\u7565\r\n<\/pre>\n
\n(47) matplotlib\u3067\u30b0\u30e9\u30d5\u8868\u793a\u3067\u304d\u306a\u3044 [\u89e3\u6c7a]<\/a><\/p>\n\u53c2\u8003<\/h1>\n
\nhttps:\/\/qiita.com\/naz_\/items\/84634fbd134fbcd25296<\/a><\/p>\n
\n","protected":false},"excerpt":{"rendered":"