{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "※ カレントに存在する `.py` ファイルを実行:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "I'm hungry!\n" ] } ], "source": [ "%run hungry.py" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "I'm hungry!\n" ] } ], "source": [ "%run -i hungry.py" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "※ Jupyter で、セルにまとめて書く場合と、分けた方が良い場合" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "+ ブロックは複数セルにまたがることは出来ない。" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0\n", "1\n", "2\n", "3\n", "4\n", "5\n", "6\n", "7\n", "8\n", "9\n" ] } ], "source": [ "for i in [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]:\n", " # ここでセルを\n", "\n", " # 分割したら期待通りに動作しない\n", " print(i)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "+ matplotlib でグラフを描画するときは、Jupyter 上ではセルがグラフのひとまとまりになる。" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [], "source": [ "x = np.arange(0, 6, 0.1)\n", "y1 = np.sin(x)\n", "y2 = np.cos(x)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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LqurvzfDOdZm95Tjbj6XojmNcTr1u0O5+3Slcgs6Csh6IEJG6IuIFDAFm5V1B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\n5Vd6ClQMhDumQ6XC35O8rV1thneuy5e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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(x, y1, label=\"sin\")\n", "plt.plot(x, y2, linestyle=\"--\", label=\"cos\")\n", "plt.xlabel(\"x\")\n", "plt.ylabel(\"y\")\n", "\n", "plt.title('sin & cos')\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "※「jpeg が表示できない(`imread()`でエラーになる)」という意見が出ました。 \n", "調査した結果、標準では jpeg は読み込めず、別ライブラリ [Pillow](https://pillow.readthedocs.io/en/4.1.x/) が必要なようです。 \n", "用意した Dockerイメージ には含めていないのでそれを利用されている方は表示できません。実案件ではその環境も用意する必要があります。 \n", "この勉強会では特に重要ではない(おそらくこの先 `.jpg` ファイルを読み込むことはない)ので、このまま進めます。" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "※デバッグ(特にデバッグ目的の出力)について。 \n", "→ http://qiita.com/amedama/items/b856b2f30c2f38665701#%E9%95%B7%E3%81%8F%E3%81%AA%E3%81%A3%E3%81%9F" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "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": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 2 }