Last active
December 25, 2015 17:39
-
-
Save gabraganca/7015181 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "metadata": { | |
| "name": "" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import matplotlib.pyplot as plt" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 1 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "%matplotlib inline" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 2 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "plt.plot(range(10), range(10))" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 3, | |
| "text": [ | |
| "[<matplotlib.lines.Line2D at 0x3134fd0>]" | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "png": "iVBORw0KGgoAAAANSUhEUgAAAWgAAAEACAYAAACeQuziAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nOAAAAABJRU5ErkJggg==\n", | |
| "text": [ | |
| "<matplotlib.figure.Figure at 0x3112750>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 3 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "%config InlineBackend.rc" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 4, | |
| "text": [ | |
| "{'figure.edgecolor': 'white',\n", | |
| " 'figure.facecolor': 'white',\n", | |
| " 'figure.figsize': (6.0, 4.0),\n", | |
| " 'figure.subplot.bottom': 0.125,\n", | |
| " 'font.size': 10,\n", | |
| " 'savefig.dpi': 72}" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 4 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "rc = %config InlineBackend.rc\n", | |
| "rc['figure.figsize'] = 30, 20\n", | |
| "%config InlineBackend.rc = rc" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 5 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "%config InlineBackend.rc" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 6, | |
| "text": [ | |
| "{'figure.edgecolor': 'white',\n", | |
| " 'figure.facecolor': 'white',\n", | |
| " 'figure.figsize': (30, 20),\n", | |
| " 'figure.subplot.bottom': 0.125,\n", | |
| " 'font.size': 10,\n", | |
| " 'savefig.dpi': 72}" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 6 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "plt.plot(range(10), range(10))" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 7, | |
| "text": [ | |
| "[<matplotlib.lines.Line2D at 0x3351d50>]" | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "png": "iVBORw0KGgoAAAANSUhEUgAAAWgAAAEACAYAAACeQuziAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nOAAAAABJRU5ErkJggg==\n", | |
| "text": [ | |
| "<matplotlib.figure.Figure at 0x3063fd0>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 7 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "%matplotlib inline" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 8 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "plt.plot(range(10), range(10))" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 9, | |
| "text": [ | |
| "[<matplotlib.lines.Line2D at 0x359ae10>]" | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "png": "iVBORw0KGgoAAAANSUhEUgAABqQAAAR9CAYAAAAwfib2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n", | |
| "text": [ | |
| "<matplotlib.figure.Figure at 0x3134f50>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 9 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 9 | |
| } | |
| ], | |
| "metadata": {} | |
| } | |
| ] | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment