Last active
August 29, 2015 13:57
-
-
Save msund/9904323 to your computer and use it in GitHub Desktop.
IPython NB for mpl wrapper--J.R. Johansson examples
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": "matplotlib - 2D and 3D plotting in Python" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "%pylab inline\nfrom pylab import *\nimport matplotlib.pyplot as plt # so we don't have to look at mpl's backend\nimport matplotlib.gridspec as gridspec # for subplots\nimport matplotlib.cm as cm # for fun-with-colors\nimport numpy as np", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "stream": "stdout", | |
| "text": "\nWelcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\nFor more information, type 'help(pylab)'.\n" | |
| } | |
| ], | |
| "prompt_number": 3 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "from matplotlylib import fig_to_plotly\nusername = 'IPython.Demo'\napi_key = '1fw3zw2o13'", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 4 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "x = linspace(0, 5, 10)\ny = x ** 2", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 5 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "fig1 = plt.figure()\nsubplot(1,2,1)\nplot(x, y, 'r--')\nsubplot(1,2,2)\nplot(y, x, 'g*-');\nfig_to_plotly(fig1, username, api_key, notebook= True)", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/2429/600/450\" width=\"650\"></iframe>", | |
| "output_type": "pyout", | |
| "prompt_number": 8, | |
| "text": "<IPython.core.display.HTML at 0x10bb87790>" | |
| } | |
| ], | |
| "prompt_number": 8 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "fig2 = plt.figure()\n\naxes1 = fig2.add_axes([0.1, 0.1, 0.8, 0.8]) # main axes\naxes2 = fig2.add_axes([0.2, 0.5, 0.4, 0.3]) # inset axes\n\n# main figure\naxes1.plot(x, y, 'r')\naxes1.set_xlabel('x')\naxes1.set_ylabel('y')\naxes1.set_title('title')\n\n# insert\naxes2.plot(y, x, 'g')\naxes2.set_xlabel('y')\naxes2.set_ylabel('x')\naxes2.set_title('insert title');\nfig_to_plotly(fig2, username, api_key, notebook= True)", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/2430/600/450\" width=\"650\"></iframe>", | |
| "output_type": "pyout", | |
| "prompt_number": 10, | |
| "text": "<IPython.core.display.HTML at 0x10c02a6d0>" | |
| } | |
| ], | |
| "prompt_number": 10 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "fig3 = plt.figure()\nfig3, axes = plt.subplots(nrows=1, ncols=2)\n\nfor ax in axes:\n ax.plot(x, y, 'r')\n ax.set_xlabel('x')\n ax.set_ylabel('y')\n ax.set_title('title')\n \nfig3.tight_layout()\nfig_to_plotly(fig3, username, api_key, notebook= True)", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/2431/600/450\" width=\"650\"></iframe>", | |
| "output_type": "pyout", | |
| "prompt_number": 11, | |
| "text": "<IPython.core.display.HTML at 0x10c2e3b50>" | |
| } | |
| ], | |
| "prompt_number": 11 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "fig4 = plt.figure()\nfig4, ax = plt.subplots()\n\nax.plot(x, x**2, label=r\"$y = \\alpha^2$\")\nax.plot(x, x**3, label=r\"$y = \\alpha^3$\")\nax.legend(loc=2) # upper left corner\nax.set_xlabel(r'$\\alpha$', fontsize=18)\nax.set_ylabel(r'$y$', fontsize=18)\nax.set_title('title');\nfig_to_plotly(fig4, username, api_key, notebook= True)", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/2432/600/450\" width=\"650\"></iframe>", | |
| "output_type": "pyout", | |
| "prompt_number": 12, | |
| "text": "<IPython.core.display.HTML at 0x10c3f9d90>" | |
| } | |
| ], | |
| "prompt_number": 12 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "matplotlib.rcParams.update({'font.size': 18, 'font.family': 'serif'})", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 13 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "fig5 = plt.figure()\n\nfig5, ax = plt.subplots()\n\nax.plot(x, x**2, label=r\"$y = \\alpha^2$\")\nax.plot(x, x**3, label=r\"$y = \\alpha^3$\")\nax.legend(loc=2) # upper left corner\nax.set_xlabel(r'$\\alpha$')\nax.set_ylabel(r'$y$')\nax.set_title('title');\nfig_to_plotly(fig5, username, api_key, notebook= True)", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/2434/600/450\" width=\"650\"></iframe>", | |
| "output_type": "pyout", | |
| "prompt_number": 15, | |
| "text": "<IPython.core.display.HTML at 0x10c52ed10>" | |
| } | |
| ], | |
| "prompt_number": 15 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "# MATLAB style line color and style \nax.plot(x, x**2, 'b.-') # blue line with dots\nax.plot(x, x**3, 'g--') # green dashed line", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "output_type": "pyout", | |
| "prompt_number": 21, | |
| "text": "[<matplotlib.lines.Line2D at 0x10c217dd0>]" | |
| } | |
| ], | |
| "prompt_number": 21 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "fig6 = plt.figure()\nfig6, ax = plt.subplots()\n\nax.plot(x, x+1, color=\"red\", alpha=0.5) # half-transparant red\nax.plot(x, x+2, color=\"#1155dd\") # RGB hex code for a bluish color\nax.plot(x, x+3, color=\"#15cc55\") # RGB hex code for a greenish color\nfig_to_plotly(fig6, username, api_key, notebook= True)", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/2437/600/450\" width=\"650\"></iframe>", | |
| "output_type": "pyout", | |
| "prompt_number": 23, | |
| "text": "<IPython.core.display.HTML at 0x10c507fd0>" | |
| } | |
| ], | |
| "prompt_number": 23 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "fig7 = plt.figure()\nfig7, axes = plt.subplots(1, 2, figsize=(10,3))\n\n# default grid appearance\naxes[0].plot(x, x**2, x, x**3, lw=2)\naxes[0].grid(True)\n\n# custom grid appearance\naxes[1].plot(x, x**2, x, x**3, lw=2)\naxes[1].grid(color='b', alpha=0.5, linestyle='dashed', linewidth=0.5)\nfig_to_plotly(fig7, username, api_key, notebook= True)", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/2439/600/450\" width=\"650\"></iframe>", | |
| "output_type": "pyout", | |
| "prompt_number": 26, | |
| "text": "<IPython.core.display.HTML at 0x10cfb6990>" | |
| } | |
| ], | |
| "prompt_number": 26 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "n = array([0,1,2,3,4,5])", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [], | |
| "prompt_number": 29 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "fig8 = plt.figure()\nfig8, ax = plt.subplots()\n\nax.plot(xx, xx**2, xx, xx**3)\n\nax.text(0.15, 0.2, r\"$y=x^2$\", fontsize=20, color=\"blue\")\nax.text(0.65, 0.1, r\"$y=x^3$\", fontsize=20, color=\"green\");\nfig_to_plotly(fig8, username, api_key, notebook= True)", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": "<iframe height=\"500\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/2446/600/450\" width=\"650\"></iframe>", | |
| "output_type": "pyout", | |
| "prompt_number": 35, | |
| "text": "<IPython.core.display.HTML at 0x10df53fd0>" | |
| } | |
| ], | |
| "prompt_number": 35 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": "", | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [] | |
| } | |
| ], | |
| "metadata": {} | |
| } | |
| ] | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment