{"cells":[{"cell_type":"markdown","metadata":{"id":"rU_od4vgJayo"},"source":["# matplotlib 入門 (3) nitta@tsuda.ac.jp\n","\n","# 3章: 日本語フォントの利用\n","\n","
    \n","
  1. IPAが配布している日本語フォント IPAex をダウンロードして展開する。
    2. \n","
  2. ipaexg.ttf をmatplotlibのフォント用フォルダに置く。
    3. \n","
  3. フォンt用キャッシュファイルを削除する。
    4. \n","
  4. ランタイムを再起動する。
    5. \n","
  5. matplotlibの設定ファイル matplotlibrc でipaexg.ttf を読み込む設定をする。 pythonプログラムの中で plt.rcParams['font.family'] = 'IPAexGothic' を指定する。
    6. \n","\n","
"]},{"cell_type":"markdown","metadata":{"id":"Q9mVIntuTLT3"},"source":["## 3-1: 日本語フォントをダウンロードして展開する\n","\n","IPAex フォントはいくつかのバージョンがある。\n","現時点 (2022/03/25) での最新版は Ver.004.01\n","\n","https://moji.or.jp/ipafont/ipaex00401/\n","\n","である。\n","今回は IPAexゴシック ipaexg00401.zip を\n","ダウンロードする。\n","\n","公式のURL:\n","\n","https://moji.or.jp/wp-content/ipafont/IPAexfont/ipaexg00401.zip\n","\n","\n","mirror: \n","\n","http://nw.tsuda.ac.jp/python/matplotlib/ipaexg00401.zip\n","\n","\n"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2750,"status":"ok","timestamp":1657424962507,"user":{"displayName":"Yoshihisa Nitta","userId":"15888006800030996813"},"user_tz":-540},"id":"-JTtt0pNUxcR","outputId":"d95c9293-4b25-4891-8be5-d51c89a08f5d"},"outputs":[{"output_type":"stream","name":"stdout","text":["--2022-07-10 03:49:19-- https://moji.or.jp/wp-content/ipafont/IPAexfont/ipaexg00401.zip\n","Resolving moji.or.jp (moji.or.jp)... 157.7.44.215\n","Connecting to moji.or.jp (moji.or.jp)|157.7.44.215|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 4166255 (4.0M) [application/zip]\n","Saving to: ‘ipaexg00401.zip’\n","\n","ipaexg00401.zip 100%[===================>] 3.97M 2.98MB/s in 1.3s \n","\n","2022-07-10 03:49:21 (2.98 MB/s) - ‘ipaexg00401.zip’ saved [4166255/4166255]\n","\n","Archive: ipaexg00401.zip\n"," creating: ipaexg00401/\n"," inflating: ipaexg00401/ipaexg.ttf \n"," inflating: ipaexg00401/IPA_Font_License_Agreement_v1.0.txt \n"," inflating: ipaexg00401/Readme_ipaexg00401.txt \n"]}],"source":["FNAME = 'ipaexg00401.zip'\n","URL = f'https://moji.or.jp/wp-content/ipafont/IPAexfont/{FNAME}'\n","# URL = f'http://nw.tsuda.ac.jp/python/matplotlib/{FNAME}'\n","\n","import os\n","if os.name != 'nt':\n"," ! wget {URL}\n"," ! unzip {FNAME}\n","else:\n"," import urllib.request\n"," import zipfile\n"," urllib.request.urlretrieve(URL, FNAME)\n"," with zipfile.ZipFile(FNAME, 'r') as f:\n"," f.extractall('.')"]},{"cell_type":"markdown","metadata":{"id":"8P26SiN-NzE3"},"source":["## 3-2: フォントを格納するフォルダを調べる\n","\n","フォントを格納するフォルダはシステムによって異なる。\n","下のコードの実行例はGoogle Colab で実行した場合である。\n","\n","Windows 上の Anaconda を D:\\sys\\Anaconda3 にインストールして、python仮想環境 book3 上で jupyter notebook を動かした場合の例は次の通り。
\n","\n","'D:\\\\sys\\\\Anaconda3\\\\envs\\\\book3\\\\lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\matplotlibrc'\n"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"EwcbaAl3OaE-","executionInfo":{"status":"ok","timestamp":1657424962509,"user_tz":-540,"elapsed":13,"user":{"displayName":"Yoshihisa Nitta","userId":"15888006800030996813"}}},"outputs":[],"source":["# resolve OS dependencies by nitta\n","if os.name == 'nt':\n"," LS = 'dir /w'\n"," LS_L = 'dir'\n"," LS_LR = 'dir /s'\n"," RM_RF = 'rmdir /S /Q'\n"," CP = 'copy'\n","else:\n"," LS = 'ls'\n"," LS_L = 'ls -al'\n"," LS_LR = 'ls -lR'\n"," RM_RF = 'rm -rf'\n"," CP = 'cp'"]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1657424962510,"user":{"displayName":"Yoshihisa Nitta","userId":"15888006800030996813"},"user_tz":-540},"id":"8qAUsdxCJPG0","outputId":"0d8b4d8f-2e27-4ad5-c4d8-4d9c20a86ec8"},"outputs":[{"output_type":"stream","name":"stdout","text":["/usr/local/lib/python3.7/dist-packages/matplotlib/mpl-data/matplotlibrc\n"]}],"source":["# sample code 3-1\n","import matplotlib\n","\n","tmp = matplotlib.matplotlib_fname() \n","print(tmp)"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":264,"status":"ok","timestamp":1657424964640,"user":{"displayName":"Yoshihisa Nitta","userId":"15888006800030996813"},"user_tz":-540},"id":"_-EivsLLS_MQ","outputId":"23b00be1-44a8-4938-ad24-98bd4d8f5c99"},"outputs":[{"output_type":"stream","name":"stdout","text":["cmb10.ttf\t\t\tDejaVuSerif.ttf\n","cmex10.ttf\t\t\tLICENSE_DEJAVU\n","cmmi10.ttf\t\t\tLICENSE_STIX\n","cmr10.ttf\t\t\tSTIXGeneralBolIta.ttf\n","cmss10.ttf\t\t\tSTIXGeneralBol.ttf\n","cmsy10.ttf\t\t\tSTIXGeneralItalic.ttf\n","cmtt10.ttf\t\t\tSTIXGeneral.ttf\n","DejaVuSans-BoldOblique.ttf\tSTIXNonUniBolIta.ttf\n","DejaVuSans-Bold.ttf\t\tSTIXNonUniBol.ttf\n","DejaVuSansDisplay.ttf\t\tSTIXNonUniIta.ttf\n","DejaVuSansMono-BoldOblique.ttf\tSTIXNonUni.ttf\n","DejaVuSansMono-Bold.ttf\t\tSTIXSizFiveSymReg.ttf\n","DejaVuSansMono-Oblique.ttf\tSTIXSizFourSymBol.ttf\n","DejaVuSansMono.ttf\t\tSTIXSizFourSymReg.ttf\n","DejaVuSans-Oblique.ttf\t\tSTIXSizOneSymBol.ttf\n","DejaVuSans.ttf\t\t\tSTIXSizOneSymReg.ttf\n","DejaVuSerif-BoldItalic.ttf\tSTIXSizThreeSymBol.ttf\n","DejaVuSerif-Bold.ttf\t\tSTIXSizThreeSymReg.ttf\n","DejaVuSerifDisplay.ttf\t\tSTIXSizTwoSymBol.ttf\n","DejaVuSerif-Italic.ttf\t\tSTIXSizTwoSymReg.ttf\n"]}],"source":["dpath, fname = os.path.split(tmp)\n","\n","fontpath = os.path.join(dpath, 'fonts', 'ttf')\n","! {LS} {fontpath}"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"JT6iDMk0gEp7","executionInfo":{"status":"ok","timestamp":1657424966266,"user_tz":-540,"elapsed":367,"user":{"displayName":"Yoshihisa Nitta","userId":"15888006800030996813"}}},"outputs":[],"source":["SRC = os.path.join('ipaexg00401', 'ipaexg.ttf')\n","! {CP} {SRC} {fontpath}"]},{"cell_type":"markdown","metadata":{"id":"pSVq4AnTg06I"},"source":["## 3-3: フォントキャッシュを削除する。\n","\n","Google Colab ではフォントキャッシュの場所は matplotlib.get_cachedir() で調べる。\n","消すべきなのはそのフォルダの中の fontlist-vXXX.json ファイルなのだが、面倒なので今回はフォルダごと消してしまう。"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":641,"status":"ok","timestamp":1657424968942,"user":{"displayName":"Yoshihisa Nitta","userId":"15888006800030996813"},"user_tz":-540},"id":"dxwECA8Gk2eX","outputId":"62250ad4-d52b-47b4-f96a-502b93871d54"},"outputs":[{"output_type":"stream","name":"stdout","text":["/root/.cache/matplotlib\n","total 44\n","drwxr-xr-x 3 root root 4096 Jul 6 13:32 .\n","drwxr-xr-x 1 root root 4096 Jul 7 13:19 ..\n","-rw-r--r-- 1 root root 29337 Jul 6 13:32 fontlist-v310.json\n","drwxr-xr-x 2 root root 4096 Jul 6 13:32 tex.cache\n"]}],"source":["# font cache path\n","import matplotlib\n","cache_path = matplotlib.get_cachedir()\n","print(cache_path)\n","\n","! {LS_L} {cache_path}\n","! {RM_RF} {cache_path}"]},{"cell_type":"markdown","metadata":{"id":"_aCpnNW6lr0q"},"source":["Windows や Mac の Anaconda で jupyter を動作させている場合は、フォントキャッシュはmatplotlib.get_configdir() の下の\n","fontlist-vXXX.json である。"]},{"cell_type":"markdown","metadata":{"id":"UuraWMOJj8Vn"},"source":["## 3-4: runtime を再起動する\n","\n","Google Colab の場合:\n","ランタイム → ランタイムを再起動\n","\n","手元のPCで jupyter notebook を走らせている場合:\n","Kernel → Restart"]},{"cell_type":"markdown","metadata":{"id":"RqCGTqiqhbIB"},"source":["## 3-5: font.family を指定して matplotlib を利用する。\n","\n","runtime を再起動した後、直ちに次のセルを実行する。"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":401},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1657425010905,"user":{"displayName":"Yoshihisa Nitta","userId":"15888006800030996813"},"user_tz":-540},"id":"IDDZnE9DN_30","outputId":"b1b948b2-4bf1-4655-aeee-1b9cba2566a7"},"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["# sample code 3-5\n","%matplotlib inline\n","import matplotlib.pyplot as plt\n","import numpy as np\n","\n","plt.rcParams['font.family'] = 'IPAexGothic'\n","\n","fig, ax = plt.subplots(1,1,figsize=(8,6))\n","ax.set_title('日本語の表示')\n","ax.set_xlabel('x軸ラベル')\n","ax.set_ylabel('y軸ラベル')\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"5EClIZbiOaFM"},"outputs":[],"source":[""]}],"metadata":{"colab":{"collapsed_sections":[],"name":"matplotlib_tutorial_03.ipynb","provenance":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.13"}},"nbformat":4,"nbformat_minor":0}