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@jiaweih
Created January 6, 2014 00:16
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{
"metadata": {
"name": "matplotlib"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": "%pylab inline",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Populating the interactive namespace from numpy and matplotlib\n"
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": "import matplotlib.pylab as plt\nimport numpy as np",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": "x = np.array([i for i in np.arange(10)])",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": "plt.plot(x,x**2,label='square')\nplt.plot(x,x**1/2,label='square root')\nplt.plot(x,x**3,label='cubic')\nplt.grid(True) #Make grid appear\nplt.xlabel('X')\nplt.ylabel('Y')\nplt.legend(loc = 'best')\nplt.title('Sample Growth of a Measure')\nplt.xlim(1,11)\nplt.axis([0, 12, -1, 100])\nplt.show()\nplt.savefig('plot001.png')",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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W0YiSkjEEYV0SEtTrEy9fhipVtI5GlMCPP6qrmO7dC488onU0whQyhmCDdN3H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\nSUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x3adc810>"
},
{
"metadata": {},
"output_type": "display_data",
"text": "<matplotlib.figure.Figure at 0x3ae0c50>"
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": "import matplotlib as mpl",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": "mpl.rcParams['figure.figsize']",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": "(6.0, 4.0)"
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": "mpl.rcParams['savefig.dpi']",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": "72"
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": "mpl.rcParams",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": "/usr/local/lib/python2.7/site-packages/matplotlib/__init__.py:665: UserWarning: svg.embed_char_paths is deprecated and replaced with svg.fonttype; please use the latter.\n warnings.warn(self.msg_depr % (key, alt))\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 8,
"text": "{'agg.path.chunksize': 0,\n 'axes.axisbelow': False,\n 'axes.color_cycle': ['b', 'g', 'r', 'c', 'm', 'y', 'k'],\n 'axes.edgecolor': 'k',\n 'axes.facecolor': 'w',\n 'axes.formatter.limits': [-7, 7],\n 'axes.formatter.use_locale': False,\n 'axes.grid': False,\n 'axes.hold': True,\n 'axes.labelcolor': 'k',\n 'axes.labelsize': 'medium',\n 'axes.labelweight': 'normal',\n 'axes.linewidth': 1.0,\n 'axes.titlesize': 'large',\n 'axes.unicode_minus': True,\n 'axes3d.grid': True,\n 'backend': 'module://IPython.kernel.zmq.pylab.backend_inline',\n 'backend.qt4': 'PyQt4',\n 'backend_fallback': True,\n 'cairo.format': 'png',\n 'contour.negative_linestyle': 'dashed',\n 'datapath': '/usr/local/lib/python2.7/site-packages/matplotlib/mpl-data',\n 'docstring.hardcopy': False,\n 'examples.directory': '',\n 'examples.download': True,\n 'figure.autolayout': False,\n 'figure.dpi': 80,\n 'figure.edgecolor': 'white',\n 'figure.facecolor': 'white',\n 'figure.figsize': (6.0, 4.0),\n 'figure.subplot.bottom': 0.125,\n 'figure.subplot.hspace': 0.2,\n 'figure.subplot.left': 0.125,\n 'figure.subplot.right': 0.9,\n 'figure.subplot.top': 0.9,\n 'figure.subplot.wspace': 0.2,\n 'font.cursive': ['Apple Chancery',\n 'Textile',\n 'Zapf Chancery',\n 'Sand',\n 'cursive'],\n 'font.family': 'sans-serif',\n 'font.fantasy': ['Comic Sans MS',\n 'Chicago',\n 'Charcoal',\n 'ImpactWestern',\n 'fantasy'],\n 'font.monospace': ['Bitstream Vera Sans Mono',\n 'DejaVu Sans Mono',\n 'Andale Mono',\n 'Nimbus Mono L',\n 'Courier New',\n 'Courier',\n 'Fixed',\n 'Terminal',\n 'monospace'],\n 'font.sans-serif': ['Bitstream Vera Sans',\n 'DejaVu Sans',\n 'Lucida Grande',\n 'Verdana',\n 'Geneva',\n 'Lucid',\n 'Arial',\n 'Helvetica',\n 'Avant Garde',\n 'sans-serif'],\n 'font.serif': ['Bitstream Vera Serif',\n 'DejaVu Serif',\n 'New Century Schoolbook',\n 'Century Schoolbook L',\n 'Utopia',\n 'ITC Bookman',\n 'Bookman',\n 'Nimbus Roman No9 L',\n 'Times New Roman',\n 'Times',\n 'Palatino',\n 'Charter',\n 'serif'],\n 'font.size': 10,\n 'font.stretch': 'normal',\n 'font.style': 'normal',\n 'font.variant': 'normal',\n 'font.weight': 'normal',\n 'grid.color': 'k',\n 'grid.linestyle': ':',\n 'grid.linewidth': 0.5,\n 'image.aspect': 'equal',\n 'image.cmap': 'jet',\n 'image.interpolation': 'bilinear',\n 'image.lut': 256,\n 'image.origin': 'upper',\n 'image.resample': False,\n 'interactive': True,\n 'keymap.all_axes': 'a',\n 'keymap.back': ['left', 'c', 'backspace'],\n 'keymap.forward': ['right', 'v'],\n 'keymap.fullscreen': 'f',\n 'keymap.grid': 'g',\n 'keymap.home': ['h', 'r', 'home'],\n 'keymap.pan': 'p',\n 'keymap.save': 's',\n 'keymap.xscale': ['k', 'L'],\n 'keymap.yscale': 'l',\n 'keymap.zoom': 'o',\n 'legend.borderaxespad': 0.5,\n 'legend.borderpad': 0.4,\n 'legend.columnspacing': 2.0,\n 'legend.fancybox': False,\n 'legend.fontsize': 'large',\n 'legend.frameon': True,\n 'legend.handleheight': 0.7,\n 'legend.handlelength': 2.0,\n 'legend.handletextpad': 0.8,\n 'legend.isaxes': True,\n 'legend.labelspacing': 0.5,\n 'legend.loc': 'upper right',\n 'legend.markerscale': 1.0,\n 'legend.numpoints': 2,\n 'legend.shadow': False,\n 'lines.antialiased': True,\n 'lines.color': 'b',\n 'lines.dash_capstyle': 'butt',\n 'lines.dash_joinstyle': 'round',\n 'lines.linestyle': '-',\n 'lines.linewidth': 1.0,\n 'lines.marker': 'None',\n 'lines.markeredgewidth': 0.5,\n 'lines.markersize': 6,\n 'lines.solid_capstyle': 'projecting',\n 'lines.solid_joinstyle': 'round',\n 'mathtext.bf': 'serif:bold',\n 'mathtext.cal': 'cursive',\n 'mathtext.default': 'it',\n 'mathtext.fallback_to_cm': True,\n 'mathtext.fontset': 'cm',\n 'mathtext.it': 'serif:italic',\n 'mathtext.rm': 'serif',\n 'mathtext.sf': 'sans\\\\-serif',\n 'mathtext.tt': 'monospace',\n 'patch.antialiased': True,\n 'patch.edgecolor': 'k',\n 'patch.facecolor': 'b',\n 'patch.linewidth': 1.0,\n 'path.simplify': True,\n 'path.simplify_threshold': 0.1111111111111111,\n 'path.snap': True,\n 'pdf.compression': 6,\n 'pdf.fonttype': 3,\n 'pdf.inheritcolor': False,\n 'pdf.use14corefonts': False,\n 'plugins.directory': '.matplotlib_plugins',\n 'polaraxes.grid': True,\n 'ps.distiller.res': 6000,\n 'ps.fonttype': 3,\n 'ps.papersize': 'letter',\n 'ps.useafm': False,\n 'ps.usedistiller': False,\n 'savefig.dpi': 72,\n 'savefig.edgecolor': 'w',\n 'savefig.extension': 'auto',\n 'savefig.facecolor': 'w',\n 'savefig.orientation': 'portrait',\n 'svg.embed_char_paths': 'path',\n 'svg.fonttype': 'path',\n 'svg.image_inline': True,\n 'svg.image_noscale': False,\n 'text.antialiased': True,\n 'text.color': 'k',\n 'text.dvipnghack': None,\n 'text.hinting': True,\n 'text.latex.preamble': [''],\n 'text.latex.preview': False,\n 'text.latex.unicode': False,\n 'text.usetex': False,\n 'timezone': 'UTC',\n 'tk.pythoninspect': False,\n 'tk.window_focus': False,\n 'toolbar': 'toolbar2',\n 'verbose.fileo': 'sys.stdout',\n 'verbose.level': 'silent',\n 'xtick.color': 'k',\n 'xtick.direction': 'in',\n 'xtick.labelsize': 'medium',\n 'xtick.major.pad': 4,\n 'xtick.major.size': 4,\n 'xtick.major.width': 0.5,\n 'xtick.minor.pad': 4,\n 'xtick.minor.size': 2,\n 'xtick.minor.width': 0.5,\n 'ytick.color': 'k',\n 'ytick.direction': 'in',\n 'ytick.labelsize': 'medium',\n 'ytick.major.pad': 4,\n 'ytick.major.size': 4,\n 'ytick.major.width': 0.5,\n 'ytick.minor.pad': 4,\n 'ytick.minor.size': 2,\n 'ytick.minor.width': 0.5}"
}
],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": "\u5728IPython\u4e2d\u8f93\u5165\u201cplt.plot?\u201d\u53ef\u4ee5\u67e5\u770b\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u4ee5\u53ca\u5404\u4e2a\u53c2\u6570\u7684\u8be6\u7ec6\u8bf4\u660e\u3002"
},
{
"cell_type": "code",
"collapsed": false,
"input": "import matplotlib.pyplot as plt\nplt.plot?",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": "y = np.arange(1, 3, 0.3)",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": "plt.plot(y, 'cx--', y+1, 'mo:', y+2, 'kp-.');",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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txn+eOwdFbS1SfH0hFomwbfhwyH19HR2azVmbO7vctaLVajFnzhxkZmaaJXGg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\nV+fun89anSbyxYsXY9++fR2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"text": "<matplotlib.figure.Figure at 0x3ac3a50>"
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": "plt.show()",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": "plt.plot(y, color='blue', linestyle='dashdot', linewidth=4, marker='o', markerfacecolor='red', markeredgecolor='black', \n markeredgewidth=3, markersize=12);",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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ODx6En/7Ut42SuIhIi5AlcovFgtVqpbKy0m+7AQPgmWdazv/rv4xJPyIi0r6Q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\n9QDEWw5H0QAAAABJRU5ErkJggg==\n",
"text": "<matplotlib.figure.Figure at 0x3d65f10>"
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": "x = np.random.rand(5)\nplt.plot(x)\nplt.xticks(np.arange(len(x)), ['a', 'b', 'c', 'd', 'e']);\nplt.yticks(np.arange(1, 5, 2));\nplt.show()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAWgAAAD9CAYAAACROe2RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nGiCp/wNYijp+FU8P1AAAAABJRU5ErkJggg==\n",
"text": "<matplotlib.figure.Figure at 0x3d705d0>"
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": "import matplotlib.pyplot as plt\nfig = plt.figure()\nax1 = fig.add_subplot(211)\nax1.plot([1, 2, 3], [2, 1, 3])\nax2 = fig.add_subplot(212)\nax2.plot([1, 2, 3], [3, 2, 1])\nplt.show()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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IyZMnk5CQwIYNG0hPT+//IbpiF4lYqn71H7/dPHUX7J2dnYwdO5bY2Fj27dtH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\nEmEU7CIiEUbBLiISYf4f1B3XMd6JH6oAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x3d80910>"
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig1 = plt.figure()\nax1 = fig1.add_subplot(111)\nax1.plot([1, 2, 3], [2, 1, 3])\nfig2 = plt.figure()\nax2 = fig2.add_subplot(111)\nax2.plot([1, 2, 3], [3, 2, 1])\nplt.show()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": "<matplotlib.figure.Figure at 0x3d6a9d0>"
},
{
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"output_type": "display_data",
"png": 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"text": "<matplotlib.figure.Figure at 0x3d104d0>"
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": "x = np.arange(0, np.e, 0.01)\ny1, y2 = np.exp(x), np.log(x)\nfig = plt.figure()\nax1 = fig.add_subplot(111)\nax1.plot(x, y1)\nax1.set_ylabel('exp(x)') #set_ylabel instead of ylabel\nax2 = ax1.twinx() #important statement\nax2.plot(x, y2, 'r')\nax2.set_ylabel('log(x)')\nax2.set_xlabel('Same X for exp(x) and log(x)')\nplt.show()",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": "-c:2: RuntimeWarning: divide by zero encountered in log\n"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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Mm9wdBAoKCormydTpdPD29sbQoUP1HgJT7j2bI0eO4PTp03B1dQUA1K9fHwUF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\n",
"text": "<matplotlib.figure.Figure at 0x3d70d10>"
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": "import matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport datetime as dt\nimport numpy as np\n\nfig = plt.figure()\nax = fig.add_subplot(111)\ndate1 = dt.datetime.today()\ndelta1 = dt.timedelta(days=10)\ndate2 = date1 + delta1\ndelta2 = dt.timedelta(days=1)\ndates = mpl.dates.drange(date1, date2, delta2)\ny = np.random.rand(len(dates))\nax.plot_date(dates, y, linestyle='-')\nplt.show()\n",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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5sDIdn30GHD8OrFold5Ka4z1oGWOsAocOiWU2MjPlTlJzXOwZY6wCf/wBtGkD\n3L0r+vBtmcXWxmGMMVvToAHQogVw7pzcSawLF3vGmN0JCuLx9o/iYs8Yszs8uUofF3vGmN3R7lrF\n/sTFnjFmd7hlr4+LPWPM7rRvD9y7B9y8KXcS68HFnjFmdxQKbt0/ios9Y8wucb+9Li72jDG7xC17\nXVzsGWN2iYu9Ll4ugTFml4qKxCbud+4AtWvLnaZ6eLkExhh7jDp1xKicM2fkTmIduNgzxuwW36T9\nExd7xpjd4n77P3GxZ4zZLV4Q7U9c7BljdkvbsufxIVzsGWN2rFUrMZv28mW5k8iPiz1jzG7xsgl/\n4mLPGLNrXOwFLvaMMbvGN2kFLvaMMbvGY+0FXi6BMWbXSkuBhg2BGzcAV1e501QNL5fAGGOVVKsW\n4O0N5OTInUReXOwZY3aP++252DPGHACPyKlEsU9JSUFAQAB8fX3x/vvv6339gw8+gJ+fH/z9/REe\nHo7z58+bJShjjFUX36R9zA3akpISdO7cGYcOHULLli0RGhqK1atXIzg4WHrOwYMH8eSTT0KpVGLl\nypVITU3Ftm3bdE/CN2gZYzK6dUssd3znDuBkQ/0ZFrtBm5mZCT8/P7Rt2xYuLi6Ijo5GcnKyznP6\n9OkDpVIJAAgLC0NBQYFJgjHGmKk0aSJG5Fy4IHcS+bgY+2J+fj7c3d2lz93c3JCenl7h81etWoXh\nw4cb/Nr8+fOlf0dERCAiIqJKQRljrCa0N2k7dJA7ScXS09ON1tiaMFrsFQpFpQ+0YcMGZGVl4cCB\nAwa/Xr7YM8aYpWn77UeOlDtJxR5tCMfHx5vs2Ea7cdzc3JCXlyd9npeXp9PS19qzZw8SEhKwY8cO\n1KpVy2ThGGPMVBx9RI7RYt+9e3fk5OSgoKAApaWlSExMxKBBg3Sek52djalTpyIpKQnNmjUza1jG\nGKsuLvZGqFQqrFixApGRkQgMDMSoUaMQEhKCefPmYefOnQCAN998E4WFhRg9ejSCg4MxYsQIiwRn\njLGq8PQUSybcvSt3Ennw2jiMMYcRGgosWQL06SN3ksrhtXEYY6waHHlyFRd7xpjDcOR+ey72jDGH\nwcWeMcYcQEAAcOoUUFYmdxLjkpMzEBk5x6TH5GLPGHMY9esDbdoAZ8/KnaRiyckZiItLRVraIpMe\nl4s9Y8yhWHtXzrJlacjNTTD5cbnYM8YcirUX+5ISo6vYVBsXe8aYQ7H2XauUSvPcUOBizxhzKNbc\nsi8rA1xdP13MAAAW0UlEQVRdB8DF5V2TH5uLPWPMobi7A0VFwLVrcifRdfUq0K8fUFwcjnXrIhEZ\nOdekx+dizxhzKAqF9bXuv/8e6NYN6NsX2LkTGDcuHCkpC016Di72jDGHYy399kTAZ5+JNfZXrADi\n4wFnZ/Ocyzy3fRljzIoFBgL79smb4cEDYMoU4Phx0bL39DTv+bhlzxhzOHIviJabK1bgJAKOHDF/\noQe42DPGHJCvL3DuHFBSYvlzJyeLQv/yy8C6dYCrq2XOy904jDGHo1KJ1vSpU0BwsGXOqdEACxYA\na9YA330H9OplmfNqcbFnjDkk7U1aSxT7W7eASZOAwkLg6FGgVSvzn/NR3I3DGHNIluq3z84Wwyp9\nfIA9e+Qp9AAXe8aYg7LEWPt//xsYMAB47z3gww+BWrXMez5juBuHMeaQtMWeSEy0MqWSEmDmTGDv\nXiA9HfDzM+3xq4Nb9owxh9SyJaBUAvn5pj1ufr6YCXvlCvDjj9ZR6AEu9owxB2bqrpz9+4Hu3YER\nI4AtW4CGDU137JriYs8Yc1imuklLBHzwATB+vBg7//bbgJOVVVfus2eMOazAQGDbtpod4949YPJk\n4OJF0W3Trp1pspmalf3tYYwxy6lpN87p08CTTwJNmgAHD1pvoQe42DPGHJi3N1BQANy/X/XXbtkC\nhIcDb7wBrF4tZuVaM+7GYYw5LBcXMdnpxAmxXk1llJUBs2cDiYnAf/4jJkzZAi72jDGHpu3KqUyx\nv3YNGDdO/JE4ehRo1sz8+UyFu3EYYw6tsv32mZmiFR8aKlr0tlToAS72jDEH97hdq4iAlSuBoUOB\n5cuBhATz7SZlTgoiIrOfRKGABU7DGGNVdueO2IT87l39sfFFRcCrr4oum61bAS8vy2YzZe3klj1j\nzKE1agQ0bSp2jyrv/Hmx5nxJiejCsXShNzUu9owxh5WcnIHIyDm4f38+xoyZg+TkDACiT75nT+CF\nF4CNG4G6deXNaQrcjcMYc0jJyRmIi0tFbm6C9Jin57vo0SMS6enh+OYboE8fGQPCtLWTiz1jzCFF\nRs5BWtoivccbNZqLU6cWonVrGUI9wqH77NPT0+WOoIczVZ415uJMlWNvmUpKDE8z6tLFucaF3hqv\n1WOLfUpKCgICAuDr64v3339f7+slJSWIjo5GQEAAwsLCcPHiRbME1bLGi8iZKs8ac3GmyrG3TEpl\nmcHH69RRV/uYWtZ4rYwW+5KSErz66qtISUnB8ePHsXnzZmRnZ+s859NPP0Xr1q1x4sQJzJo1C7Gx\nsWYNzBhjphAbOwCenu/qPObpORszZvSXKZF5GV0uITMzE35+fmjbti0AIDo6GsnJyQgutx37rl27\nsGTJEgDAsGHD8PLLL4OIoDD1Pl+MMWZCUVHhAIDly+eiuNgZKpUaM2YMlB63O2TEhg0baOrUqdLn\nX3/9NU2ZMkXnOV5eXnT16lXpc29vb/r99991ngOAP/iDP/iDP6rxYSpGW/amap0Tj8RhjDFZGe2z\nd3NzQ15envR5Xl4e3N3d9Z5z6dIlAIBGo8HNmzfRvHlzM0RljDFWXUaLfffu3ZGTk4OCggKUlpYi\nMTERgwYN0nnO4MGDsX79egDA9u3bERoaCidr23yRMcYcnNFuHJVKhRUrViAyMhIajQYxMTEICQnB\nvHnz0K1bNwwdOhTTp09HTEwMAgICUL9+fWzcuNFS2RljjFVWdTv7nZycKCgoiIKDgykkJIQ+/PBD\n0mg0Nb6JsGTJEvL19SU/Pz/q06cP/fbbb3rnDAoKouHDhxvM1Lx5c1KpVKRSqcjHx4euX78uff3v\nf/87+fj4kL+/P6WmpkqPT548mVq0aEH+/v46x3v33XepS5cu1LJlS3J1daVOnTrpZbp48SINGDCA\nAgMDycfHhy5cuKCXS6FQkFKpJJVKRQ0aNKAFCxZI16q6mfz8/MjDw4M6deqkd6327dsnXaegoCBS\nqVS0fft2Wa9VWVkZvfLKK+Tl5UWdOnWiKVOmkFqt1svUqFEjUqlUpFQqqWvXrlRUVCR9fcaMGeTr\n60vBwcGUlZUlPR4ZGUmNGjWiIUOG6BzvhRdeoMDAQGrevDnVq1ePOnfurJNJo9FQXFwceXl5kb+/\nP23atEnve2eu69S6dWuqW7cueXt7U9euXeno0aOPPWb5TPXr15euU3h4uHQti4uLaezYseTv70+9\nevWSfh5v3rxJERERVK9ePZo+fbrO8fr3709BQUHUokULatSoEfn7++tkMvba8qKjo8nHx4cUCgVN\nmjSJiouLpa9V9XsXExNDDRs2JKVSSY0bN6bs7OxqZfH29qZJkyZR3bp1q51F669//Su5uLjoXdvU\n1FQKDg6mgIAA8vf3p5SUlEplqsn1Kf+6evXqVXgdyqt2sS9/gtu3b1NUVBTNmzevuoeTZGRkSBdh\nxYoVNGLECIPnrCjTvn37SK1W0+3bt8nT05N69uxJRERHjx6lbt26UVlZGeXn51P79u3p4cOH0jmz\nsrL0fjHv3bsnfX3p0qX03HPP6WXq0aMHHTx4kIjEL9qDBw/0ctWpU0f6ZYyLiyMPDw+aN29ejTJp\njzVx4kSD10rr1q1b1KRJE52iKce12r17N4WFhZFGoyG1Wk2hoaG0Z88evUy7d+8mIvEz1aZNGxo4\ncCAREW3evFn6A5+VlUWBgYHS6/bu3UtJSUl6vxDlM8XGxtLf/vY3nUybN2+m/v37k1qtpsLCQgoJ\nCaFr165Z5Drdu3ePli1bRs899xzt2LGDwsPDKzxmSUmJXqZDhw4REdG1a9eoSZMmNG7cOCIi+sc/\n/kFxcXFERLRt2zYaNmwYEREVFhbSoUOHaOXKlXpF8v79+1KmZ599lr788kudTMZeW572e1evXj0a\nP348ffzxx9J1rur3LiEhQfr/GDZsGHl5eVUrCxHR+PHjSalUVjsLEdF///tf6tq1K9WqVYuIdK/t\nsWPHpJ+bnJwcatmypcGG76OZanJ9tJliYmKofv36FV6H8kzSud6oUSOsXr0an376KQCgrKwM06dP\nR2BgIHx8fLBs2TLpufHx8fDx8UFQUBDeeustvWP16dMHSqUSABAWFoaCgoIqZXnqqafg5OSERo0a\nYc6cOcjKygIA7NixA0qlEiEhIejXrx9cXV2RmZkJANi3bx/GjBmDc+fO6WSqV6+elKm4uBitW7fW\nyfTzzz/D1dUVvXv3BgAolUrUqVNHL5Ozs7N0H+OZZ56Bn58fPv30UyQnJ2PMmDGIi4vD4MGDcePG\nDcyaNUs651dffYVff/1V51ppMwFAy5Yt4ebmZvRaffvttxg8eDBUBnZDtuS1atu2LR4+fIiSkhIU\nFRWhtLRUyl5ev379AIifqVdffRUHDhwAACQlJaGkpASBgYGYMGECrl69ivz8fADAwYMHMW3aNGRk\nZBjM1Lt3b5SWlupl+uWXXxAeHg4nJye4uroiODgYu3fvtsh1qlevHu7fv4/WrVtL/wWA5ORkjBs3\nDs7Ozmjbti38/Pzw448/6mUKCwsDADRv3hxjxoxBUlISAGDnzp24cuUKAgMD8c4772Dv3r0gIri6\numLPnj2Ij4/HN998o5Op7v+WdFQqlXj48KFeJldXV4SFhUm/lxXRfu8AICQkBB9++CG6du2Kv/zl\nL/D09AQANG7cGKdPn0ZMTAz8/f2xYMECOBvYCWTv3r2IiYkBEaFNmza4fPmy9P9R1SyhoaHQaDQo\nLCzE9OnTceLECXTu3Bnnzp1DWVkZjhw5Ah8fHyQmJmLGjBk4cuQICgsLpder1Wq8+eabqFOnDlxc\nRM/3sGHD8P3334OI0KVLF2lQip+fHzQaDYqLix+b6fLlywDE9zwmJgYAEBwcjLKyMuln++mnn9b5\nnX8005IlSyo/2rFSfxIMMNTKbtWqFV29epU++eQTWrRoERGJ1m5ISAidPXuWtm7dSmFhYVLr586d\nO0bPMW3aNOk4REQuLi7UtWtXCg4ONviW+9FMQ4YMoUaNGtHVq1epV69eFB0dLWVq1qwZLV26VMp0\n9uxZ8vf318s0e/Zscnd3J29vb7p9+7ZOpq+//pqioqJo4MCB5OfnR7GxsVRWVmY015AhQ2j9+vXU\nqlUriomJoeeff1463ksvvUQeHh7SterWrRv5+fnpXatHMxm6VlpPPfUUJScny36tiEQXRqNGjahh\nw4Y0Z84co5kePnxIISEh1LRpU7p69Sp5e3tLcz6Ki4upQYMGlJiYKGXavXs3DRkyRC/TCy+8QC1b\ntqSwsDAqLS3VybRjxw4KCwujBw8e0PXr16lDhw60ePFii12nFi1akIeHB7Vq1UrqWnrllVfom2++\nkZ47ZcoU+vrrryvMdPv2berQoQM1b96crl69Ss2bN6d33nlHyqRUKun777+XMq1Zs4amT5+ul2nA\ngAHUuHFjCgkJIU9PT51MWv/617+MtqbL5wsODpbeuUVERFDr1q1Jo9HQ+fPnSaFQ0Pr164mIaOzY\nsfTWW2/ptVy9vLwoOjpa+t49On+nslm0P0fad9fPPPMMZWZm0vXr16l9+/Y0YMAA2rp1K7m4uNCJ\nEydo//791Lp1a1q7dq10jI8//pg+/vhj8vLyIldXV+lxQ3OKvv32W+rXr1+lMmnfnQ0YMIAyMzOl\nr0dGRtKRI0ekz/fv3693fbSZiB7f46Fl0mEz9L+/MGlpafjqq68QHByMnj174s6dO8jNzcXevXsx\nefJk1KpVCwDQsGHDCo+1YcMGZGVl4c0335QeKygowNGjR7Flyxa89dZb+OWXXyp8fUJCAmrXri21\nAPLz85GRkSFlevjwIa5du/bYTAkJCbh06RJeeOEFDBs2TCeTRqPBoUOHsGLFChw7dgwFBQVYvXr1\nYzNNnDhRulbHjx+XrtW2bdtQWFgoXavRo0dLcx3K5yqfaebMmQavFQBcuXIFOTk5iIyMrDCTpa5V\nRkYG9u/fj4KCAhQUFGDv3r04dOhQhZmmTZuGvn37Si2pmzdvYteuXVKm0tJS6TiTJ0+WnvdoprVr\n1+Ly5cvo0qULoqOjdTINHToUzzzzDLp3745Ro0ahR48eFr1OM2fORN++fbF06VK8+OKLRs9tSFlZ\nGSZMmIC4uDjpneODBw+QmJgoZdJoNLhw4cJjr1NqaiquXLkCd3d3zJ07t9qZALHMSu/evbFp0yb4\n+/vjp59+wu3bt3HlyhUAQJ06ddCxY0cAQNeuXXHt2jWDx1m2bJn0vbt582a1smh/jpydnVFaWooz\nZ85g/Pjx6N+/P65du4aSkhIoFAp4eHjA398fgLg22iHnly9fxubNmzF9+vTHnuvUqVN4++23jdaA\n8pm0784A/blIxuY4lc/06OuMMVmxv3z5MtRqNVq0aAEAWLlyJbKzs5GdnY3c3FwMHDgQQOUmWO3Z\nswcJCQnYsWOH9AsDQDq2h4cHBgwYIL2dftS///1vJCcn44MPPpAyqVQqDBs2TMrUp08fDBkypNKZ\n2rVrh8zMTJ1M7dq1Q1BQENq3bw9nZ2eMGDECP//8s9FMGzZskK5Vp06dUFxcLF2rnj17YuvWrZW+\nVhMmTKjwWgFAYmIiRo0aZfBtsqWv1ffff49BgwbB1dUVdevWxaBBg3D48GGDr4+Pj8eNGzfwxhtv\nSJnq1KmDyZMnS5k6dOiAMWPGSJmM/XI4OTmhY8eOSE1N1btO8fHxyMnJQUZGBpRKJXx8fCx2nSZM\nmIAjR44gOjoa//3vfwHoz23Jz8/Xm9ui9corr6BTp04YPXq0TqY33ngD2dnZ+Omnn9CwYUNER0dX\nKpNSqcSzzz6rl6kq4uPjQUQICAjAH3/8gRMnTmDMmDFo0KABysrEwmNqtVrqwnN2djaYSzt/x8nJ\nCWPHjsXdu3erPH9H+3O0dOlSAMBXX32F2rVrY/HixcjOzkaLFi1w+fJltGrVSvoDrlAooFAooNFo\nAIiu2nPnzqFjx464dOkSioqK4OXlpTenKD8/HyNHjsS6devg4eFR6Uza/9dHv+fluzgf/dkun6lD\nhw548OABvCqxjZZJiv2dO3cwdepU6a9fZGQkVq1aJV2w8+fPo6ioCP3798e//vUvPHz4EABw9+5d\nvWNlZ2dj6tSpSEpKQrNy27ffvXsXpaWlAEQr78CBA/Dz89N7fUpKCpYsWYJ169bhtddekzINHz4c\niYmJePjwIfLz8/Hzzz8jICDAaKbz589LmeLi4vD000/rZOrevTuuXbuGGzduABD9jIaKhVqtxpIl\nS7Bjxw4UFxdL12rw4MG4f/8+Vq5ciUuXLiEnJwfNmzeXrtWWLVuka6jNpc0EAJ999hlu376td620\nvv76a4wfP17vcTmulaenJw4cOAC1Wo3S0lIcOHBAat2Vt2bNGqSlpeHzzz/X+Znq378/1qxZA41G\ng6ysLKjVajRp0sRopgsXLgAAsrKysHDhQowfP14nk0ajwZ07dwAAZ86cQWZmpsF3Qea4ThcuXMD2\n7dsREBCA5ORk6edm8ODB2LRpk9Rvm5OTgyeffFIv05w5c3D37l3Mnz9f5zr16dMHH330ETQaDbZv\n347AwECUlJRImbS/Q9pMhYWFuH79OgDg3Llz2Llzp14mrcf9sdB+71QqFYqKitCiRQsoFAq0b99e\nar3n5ORAoVBI621VpGfPnli/fj2ICB999BHatWunM3+nslnKDwUvKipC586dsXHjRmRkZODixYtw\ndnZGq1atKjzu4MGDceXKFZw/fx6LFi2Ci4sLzp49qzOn6M6dO4iKisLixYsRGhpapUzac2zYsAGA\n+FnV3q+pTKbz58/D1dUVZ8+eNXo9tAeqFmdn5wqHXqrVanr99depc+fO1KVLF+rbty/98ccfREQ0\nf/588vb2pqCgIKlvsbx+/fpRq1at9IZYHj58mPz9/alLly7k7e1Nn332mcFMtWvXplq1alGdOnWo\nTZs2Uj+vWq2msLAwql27NimVSurSpYuUyd/fn5ydnUmhUFD9+vXpyy+/JCKikSNHUpcuXahu3bqk\nVCrJ399fb9jn7t27pUwTJ07UGzlB4jslZapTpw716tVLulYLFy6kJk2aUO3atcnDw0O6VuPGjaN6\n9epJr42KitLJ5OPjQ02bNqUWLVoYHI56/vx5cnNzM/r9s+S1UqvVNHXqVOrYsSN17NiRpk2bZjAT\nAFIqlVKmBQsWSK8PCgqi2rVrk0qloq5du0qZ2rVrp5MpLS2NNBoNhYaGUmBgILm6upJKpaIuXbro\nZCoqKiJfX18KDAyksLAwOnbsmMWuU+PGjal+/frk7e1N4eHhdOrUKemcCQkJ5OPjQ35+fgaH8Wmv\nk0qlkjKtWbOGiIgePHhAXl5epFQqydXVlXr06CFlatiwITk5OUlDN0+fPk1Xr16lbt26UWBgIDVq\n1IiaNm1Kfn5+epmeeOIJatKkCdWrV4/c3d3p9OnTerlcXFzI09OTnJ2dyd/fn9q0aUNdunShF198\nkRo3bkydOnUiX19f6tixo/QaDw8PcnV1pTp16pCbm5v0vevRowc1bNiQateuTc2aNaOcnJwqZ+nY\nsSMFBQVRYGAgqVQqunHjBnXt2pWaNm0qDfHduXMnnT9/ngICAqh3797UvHlzcnFxoQYNGlBaWprO\nMYuLi6Whl6GhoXT+/HkiEr/DdevW1RnuXH54rqFMQUFBtHDhQulr06ZNk4Ze/vTTT9Lj2kzlr8+j\nKjsaxyI7VTHGHMOJEyfw/PPPV9jFKgdrzCQHXteAMWYSK1euxKhRo7BgwQK5o0isMZNcuGXPGGMO\ngFv2jDHmALjYM8aYA+BizxhjDoCLPWOMOQAu9owx5gC42DPGmAP4f/PdQnDXEW62AAAAAElFTkSu\nQmCC\n",
"text": "<matplotlib.figure.Figure at 0x3d80190>"
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": "import datetime as dt\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\nimport numpy as np\n%pylab inline\nfig = plt.figure()\nax2 = fig.add_subplot(212)\ndate2_1 = dt.datetime(2008, 9, 23)\ndate2_2 = dt.datetime(2008, 10, 3)\ndelta2 = dt.timedelta(days = 1)\ndates2 = mpl.dates.drange(date2_1, date2_2, delta2)\ny2 = np.random.rand(len(dates2))\nax2.plot_date(dates2, y2, linestyle='-')\ndateFmt = mpl.dates.DateFormatter('%Y-%m-%d')\nax2.xaxis.set_major_formatter(dateFmt)\ndaysLoc = mpl.dates.DayLocator()\nhoursLoc = mpl.dates.HourLocator(interval = 6)\nax2.xaxis.set_major_locator(daysLoc)\nax2.xaxis.set_minor_locator(hoursLoc)\nfig.autofmt_xdate(bottom=0.18)\nfig.subplots_adjust(left=0.18) # adjust for date labels display\nax1 = fig.add_subplot(211)\ndate1_1 = dt.datetime(2008, 9, 23)\ndate1_2 = dt.datetime(2009, 2, 16)\ndelta1 = dt.timedelta(days = 10)\ndate1 = mpl.dates.drange(date1_1, date1_2, delta1)\ny1 = np.random.rand(len(date1))\nax1.plot_date(date1, y1, linestyle = '-')\nmonthLoc = mpl.dates.MonthLocator()\nweeksLoc = mpl.dates.WeekdayLocator()\nax1.xaxis.set_major_locator(monthLoc)\nax1.xaxis.set_minor_locator(weeksLoc)\nmonthsFmt = mpl.dates.DateFormatter('%b')\nax1.xaxis.set_major_formatter(monthsFmt)\nplt.show()",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Populating the interactive namespace from numpy and matplotlib\n"
},
{
"output_type": "stream",
"stream": "stderr",
"text": "WARNING: pylab import has clobbered these variables: ['mpl']\n`%pylab --no-import-all` prevents importing * from pylab and numpy\n"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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9y5Ytw/v37/WoUn+UKlUK+/fvx8uXLwEItzguR8qUKYPw8HCEhYXh5MmT+Pvv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\na5qmpXh/AC/FiOWs7JwdAAAAAElFTkSuQmCC\n",
"text": "<matplotlib.figure.Figure at 0x44843d0>"
}
],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": "%pylab inline\nimport matplotlib.pyplot as plt\nimport numpy as np\n",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Populating the interactive namespace from numpy and matplotlib\n"
}
],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig = plt.figure()\naxes1 = fig.add_axes([0.1,0.1,0.8,0.8]) # left, bottom, width, height (range 0 to 1)\naxes2 = fig.add_axes([0.5,0.5,0.4,0.4])\nx = np.arange(0,10)\ny = x*x\naxes1.plot(x,y,'r')\naxes2.plot(y,x,'b')",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 22,
"text": "[<matplotlib.lines.Line2D at 0x41a4450>]"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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C+fj4qIiICFVSUmLxeBUVFcrR0VGVlZWZ77N0rPj4eDVkyBDl5eWlYmNjVVVV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\nk5+fz7Zt23j44YdtcqWYrWU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"text": "<matplotlib.figure.Figure at 0x4808f50>"
}
],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": "#If we don't care to be explicit about where our plot axes are placed in the figure canvas, then\n#we can use one of the many axis layout managers in matplotlib. My favorite is subplots:\nfig, axes = plt.subplots(1,2)\nfor ax in axes:\n ax.plot(x,y,'r')\n ax.set_xlabel('x')\n ax.set_ylabel('y')\nfig.tight_layout()\n#fig.tight_layout method, which automatically adjusts the positions of the axes on the figure canvas \n# so that there is no overlapping content:",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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RLFClpbJI0TVZYYxaIUa3lJ0NhIbKQtWjh+poTI/TfVQ9y5cDGzcCO3aojoTI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\n2281brOiokIEBgaKY8eOOf3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"text": "<matplotlib.figure.Figure at 0x4806510>"
}
],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, axes = plt.subplots(figsize=(12,3)) #figsize is a tuple with width and height of the figure in inches\n\naxes.plot(x, y, 'r')\naxes.set_xlabel('x')\naxes.set_ylabel('y')\naxes.set_title('title');",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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wYGnWLNavAQBanSYJyoGBgXK5XAoICFBubq6CgoKa4rJA63Z5EK7rdf68uWmi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\n",
"text": "<matplotlib.figure.Figure at 0x4b844d0>"
}
],
"prompt_number": 24
},
{
"cell_type": "code",
"collapsed": false,
"input": "#To save a figure a file we can use the savefig method in the Figure class.\nfig.savefig(\"fig.png\",dpi = 200) #dpi is the dot-per-inch (pixel per inch).",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 25
},
{
"cell_type": "raw",
"metadata": {},
"source": "Matplotlib can generate high-quality output in a number formats, including PNG, JPG, EPS, SVG, PDF. For scientific papers, use PDF whenever possible (compile LaTeX documents with pdflatex, which can include PDFs using the includegraphics command)."
},
{
"cell_type": "raw",
"metadata": {},
"source": "The legend function takes and optional keywork argument loc that can be used to specify where in the figure the legend is to be drawn. The allowed values of loc are numerical codes for the various places the legend can be drawn. See http://matplotlib.org/users/legend_guide.html#legend-location for details. Some most common alternatives are:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "ax.plot(x, x**2, label=\"curve1\")\nax.plot(x, x**3, label=\"curve2\")\nax.legend();\nax.legend(loc=0) # let matplotlib decide the optimal location\nax.legend(loc=1) # upper right corner\nax.legend(loc=2) # upper left corner\nax.legend(loc=3) # lower left corner\nax.legend(loc=4) # lower right corner\n# .. many more options are available",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 26,
"text": "<matplotlib.legend.Legend at 0x508b210>"
}
],
"prompt_number": 26
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": "Formatting text: LaTeX, fontsize, font family"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Matplotlib has great support for LaTeX. All we need to do is to use dollar signs encapsulate LaTeX in any text (legend, title, label, etc.). For example, \"$y=x^3$\".\nBut here we can run into a slightly subtle problem with LaTeX code and Python text strings. In LaTeX we frequencly use the backslash in commands, for example \\alpha to produce the symbol \u03b1. But the backslash already has a meaning in Python strings (the escape code character). To avoid Python messing up our latex code, we need to use \"raw\" text strings. Raw text strings are prepended with and 'r', like r\"\\alpha\" or r'\\alpha' instead of \"\\alpha\" or '\\alpha'."
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, 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.set_xlabel(r'$\\alpha$', fontsize = 18)\nax.set_ylabel(r'$y$', fontsize = 18)\nax.set_title('title')\nax.legend(loc=2); #upper left corner",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 27,
"text": "<matplotlib.legend.Legend at 0x50b3ed0>"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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jRw8sLWWKKiFqKkVRmPrzVDaf2szecXvRNNaoHanWM/k1s48dO8bo0aNRFIWb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\n",
"text": "<matplotlib.figure.Figure at 0x50876d0>"
}
],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": "#update the matplotlib configuration parameters:\nmatplotlib.rcParams.update({'fontsize': 18, 'font.family': 'serif'})",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 28
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "Line and marker styles"
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, ax = plt.subplots(figsize=(12,6))\n\nx = linspace(0, 5, 10)\ny = x ** 2\n\nax.plot(x, x+1, color=\"blue\", linewidth=0.25)\nax.plot(x, x+2, color=\"blue\", linewidth=0.50)\nax.plot(x, x+3, color=\"blue\", linewidth=1.00)\nax.plot(x, x+4, color=\"blue\", linewidth=2.00)\n\n# possible linestype options \u2018-\u2018, \u2018\u2013\u2019, \u2018-.\u2019, \u2018:\u2019, \u2018steps\u2019\nax.plot(x, x+5, color=\"red\", lw=2, linestyle='-')\nax.plot(x, x+6, color=\"red\", lw=2, ls='-.')\nax.plot(x, x+7, color=\"red\", lw=2, ls=':')\n\n# custom dash\nline, = ax.plot(x, x+8, color=\"black\", lw=1.50)\nline.set_dashes([5, 10, 15, 10]) # format: line length, space length, ...\n\n# possible marker symbols: marker = '+', 'o', '*', 's', ',', '.', '1', '2', '3', '4', ...\nax.plot(x, x+ 9, color=\"green\", lw=2, ls='*', marker='+')\nax.plot(x, x+10, color=\"green\", lw=2, ls='*', marker='o')\nax.plot(x, x+11, color=\"green\", lw=2, ls='*', marker='s')\nax.plot(x, x+12, color=\"green\", lw=2, ls='*', marker='1')\n\n# marker size and color\nax.plot(x, x+13, color=\"purple\", lw=1, ls='-', marker='o', markersize=2)\nax.plot(x, x+14, color=\"purple\", lw=1, ls='-', marker='o', markersize=4)\nax.plot(x, x+15, color=\"purple\", lw=1, ls='-', marker='o', markersize=8, markerfacecolor=\"red\")\nax.plot(x, x+16, color=\"purple\", lw=1, ls='-', marker='s', markersize=8, \n markerfacecolor=\"yellow\", markeredgewidth=2, markeredgecolor=\"blue\");",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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s5bWhD7NcztbZ2IaLiJzMqhVX2x/b4uaRNyfwrNzBNaHXSWGWnMMqzJqviZKi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\n76pgHJlNvJ9+An75RcLrwIG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YZomIiMLH0BsngcKs4vFoYVbfto1h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\nmIce6dExxkwAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x5188210>"
}
],
"prompt_number": 29
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "Plot range"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "The first thing we might want to configure is the ranges of the axes. We can do it using the set_ylim and set_xlim methods in the axis object, or axis('tight') for automatrically getting \"tightly fitted\" axes ranges."
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, axes = plt.subplots(1, 3, figsize=(12, 4))\n\naxes[0].plot(x, x**2, x, x**3)\naxes[0].set_title(\"default axes ranges\")\n\naxes[1].plot(x, x**2, x, x**3)\naxes[1].axis('tight')\naxes[1].set_title(\"tight axes\")\n\naxes[2].plot(x, x**2, x, x**3)\naxes[2].set_ylim([0, 60])\naxes[2].set_xlim([2, 5])\naxes[2].set_title(\"custom axes range\");",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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buP+bmZnBzMysBtEJaZyCgoLgsM8BX8p/CUdHR77jECLxGGM4GXsSR8Ye4TsK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\nC0/FtiL8UnHOn89ohi9cUNMlatZUU5dq11Y3stauraYvNWqU/ekRRn7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"text": "<matplotlib.figure.Figure at 0x52cf310>"
}
],
"prompt_number": 30
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "Logarithmic scale"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "It is also possible to set a logarithmic scale for one or both axes. This functionality is in fact only one application of a more general transformations system in Matplotlib. Each of the axis scales is set separately using set_xscale and set_yscale methods which accept one parameter with the value \"log\" in our case."
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, axes = plt.subplots(1, 2, figsize=(10,4))\n \naxes[0].plot(x, x**2, x, exp(x))\naxes[0].set_title(\"Normal scale\")\n\naxes[1].plot(x, x**2, x, exp(x))\naxes[1].set_yscale(\"log\")\naxes[1].set_title(\"Logarithmic scale (y)\");",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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fHflyPHNq8+Z0LUL80/5L+/EJ8uH0zdNMdJrIyJYjsS1iq3UszckqPyFEnvhF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\nCdD/AdTHbtRzaLYNAAAAAElFTkSuQmCC\n",
"text": "<matplotlib.figure.Figure at 0x50b9a90>"
}
],
"prompt_number": 31
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "Placement of ticks and custom tick labels"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "We can explicitly determine where we want the axis ticks using the set_xticks and set_yticks, which both takes a list of values for where on the axis the ticks are to be placed. We can also use the functions set_xticklabels and set_yticklabels to provide a list of custom text labels for each tick location:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, ax = plt.subplots(figsize=(10, 4))\n\nax.plot(x, x**2, x, x**3, lw=2)\n\nax.set_xticks([1, 2, 3, 4, 5])\nax.set_xticklabels([r'$\\alpha$', r'$\\beta$', r'$\\gamma$', r'$\\delta$', r'$\\epsilon$'], fontsize=18)\n\nyticks = [0, 50, 100, 150]\nax.set_yticks(yticks)\nax.set_yticklabels([\"$%.1f$\" % y for y in yticks], fontsize=18); # use LaTeX formatted labels",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 32,
"text": "[<matplotlib.text.Text at 0x57d2ed0>,\n <matplotlib.text.Text at 0x57ce990>,\n <matplotlib.text.Text at 0x5962390>,\n <matplotlib.text.Text at 0x59620d0>]"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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5DIsO7TZU6cmOYdGIoAgTKwTaHsIbAMBFibVEi7ctVkZ2hr7Y/YWzvVtUN6UP\nSFdacpp6xvQ0sUKgbSO8AQBkN+z6PPdzZWzJ0NIfl6qytlKSY1h0bNJYpQ9I19BuQxkWBVoAwhsA\ntGE7C3Y6h0X3lOxxtl/a7VKlD0jXdWddx7Ao0MIQ3gCgjSmuKtaibYs0N3uu1u9Z72zvHt1dE5Mn\nMiwKtHCENwBoA2x2m2NYNNsxLFpVWyVJCgsI09izxyo9OV1Dug1hWBTwAYQ3AGjFdhTscA6L7i3Z\n62xP6Z6i9OR0XZd0ncIDw02sEGibDEM6elTKy3O/L+ENAFqZ4qpivbvtXc3Nnqv/7vmvs71HdA+l\nD0jXLf1vUY+YHiZWCLQNRUVSbq4joNUtx74vLfXsuIQ3AGgFbHabPsv9TBlbMrRs+zKXYdEbzr5B\n6QPSdUnXSxgWBbyopOTk4ay4+OT9w8OlHj2krVvd+1zCGwD4sJwjOc5h0X2l+5ztqd1TlT4gXWPO\nGsOwKOCh0tKGg1lenmPY82TCwqTu3R0BrXv335a69zExksXiWNxBeAMAH1NUVaR3v39XGdkZ+mrv\nV872njE9lZ6crluSb1H36O7mFQj4iPLyk4ezgoKT9w8JOXk4i4tzP5g1BuENAHxArb1Wn/38mTKy\nM7Tsx2Wy2qySpPDAcMewaLJjWNTSFH8pAB9VUSHl5zcczg4fPnn/oKCTh7OEhKYJZ6dCeAOAFshm\nt2nLgS3KysvS6rzVWrd7nUqsJc7tw3oMU3qyY1g0LDDMxEoB81RVnTycHTx48v6BgVK3bg2Hs/bt\nJb8WeJko4Q0AWgCb3absg9m/hbX8dSq2ul7tnBiXqFv636Jb+t+ibtHdTKoUaD5Wq7R7d/3BLDdX\nOnDg5P0DAqSuXRsOZx06tMxwdiqENwAwgc1u03cHv3OGtbX5a08Iaz1jeiqle4pSu6fq0m6XqktU\nF5OqBbzPMBzXlO3ZI+3d+9vrsWFt/37Hfg3x9z95OOvY0bFPa0N4A4BmYDfsJ4S1oqoil316RPdQ\nSvcU59I1qqtJ1QKnp6Fgdvyr1Xry4/j5nTycnXmm1K4NJpk2+JUBoOnZDbu2HtyqrLwsZeVnaU3e\nGh2tcp1XoHt0d0dQ6+YIawyFwhd4K5hJUlSU1KWL1Lmz62tdOOvUyTH0CVeENwDwArth1/eHvneE\ntbwsrclfo8LKQpd9ukZ1VWr3VOeZNabzQEvTHMGs7rVTJykioum/U2tEeAMAD9gNu7Yd2uZyZq2g\n0nVSqC5QMI5tAAAPVUlEQVSRXZTaI9V5Zq17dHem8oBpvBnMoqNdwxjBrHkR3gCgEQzD0LbD21zO\nrB2pOOKyT+fIzi5n1npE9yCsoVk0ZTCrL6CF89AOUxHeAKAehmHoh8M/uJxZO1zhOqNnp4hOLmfW\nesb0JKzB65ojmB0b0AhmLR/hDQDkCGs/HvnReWYtKy/rhLB2ZsSZzqk7UrqnqFdML8IaPGYYUlGR\nYzqMAwccr8eu//ILwQz1I7wBaJMMw9D2I9udZ9ay8rJ0qPyQyz4dwzu6hLXesb0Jazil2lrHzP71\nBbJj1w8caFwokxzBrKHrywhmbQ/hDUCbYBiGdhTs0Oq81c4zawfLXZ+d0yG8g0tY6xPbh7AGp7Iy\n1+DVUDA7fPjkE8seKyLCMZFsx46O2f6PX+caM9SH8AagVTIMQzsLd2p17mrnmbUDZa7P0jkj7Azn\nzQWp3VOVGJdIWGtj7HbH9WSnCmT79zvCW2NYLNIZZ7iGsPqCWYcOUhiPpYUHCG8AWgXDMLSrcJfL\nmbX9Zftd9mkf1t45KW5qj1T1jetLWGulrFbH0OXJwtj+/Y59amsbd8ygoN8CWEOBrGNHKSGhbc76\nj+bDf14AfJJhGPrp6E8uZ9Z+Kf3FZZ+E0ASXM2u/i/8dYc2HGYZUUnLqQHbggFRYeOrj1YmJOXkY\nq1uPinKcVQPMRngD0OLZ7DblF+cr50iOcgpy9O0v3yorL0v7Sve57BcfGu/yuKmkhCTCWgtXVeW4\nRuz45ciR39YPHfotlFVWNu64/v6O0HWqQNahg+OMGuBLCG8AWozCykJnQMspyHGu7yrcpWpb9Qn7\nx4XEuTzIPSkhSX4WPxMqh+Q4M1Za2nAIqy+gNfY6sjphYacetuzQQYqPdzzUHGiNCG8AmlWNrUY/\nHf2p3pB2/BMLjnVmxJnqG9dXfeP76uyEs3Vpt0t1dvuzCWtNyG53DD82JoTVrVefmLFPKiDAcY1Y\nfLzjtaGlLphx1yVAeAPQBAzD0KHyQy7BrG7956M/y2bY6u0XGhCqxLhEZ0jrG+dYEuMSFRHEgxJP\nV3W1487KxoSww4cd+9rt7n1GaGjDAay+gBYZyXVkgLsIbwA8VlVbpZ0FO+sNacXW4nr7WGRRt6hu\nLuGsbr1TZCfOpLmhoqJxIaxuKa7/Jzmp6OhTB7Bjt4WGev97AnBFeANwUoZhaF/pvnqHOfOL8mWo\n/tlII4MiTziD1je+r/rE9lFIQEgzf4uWyzAcIezo0VMvdWfN6sJZRYV7n+Xn5whYpwpgx64HBDTN\n9wbgOcIbAElSWXWZdhTsOCGk7SjYofKa8nr7+Fv81TOm5wlDnH3j++qMsDPazJ2e7gSwY5fCQsdr\nTY1nnxsY6N4QZUwMF/EDrQHhDWhDbHabdhfvrneY8/hpN44VHxpf71m0njE9Fegf2IzfoOmYFcAk\nx1QVMTG/LbGxru+PbT82nEVEcL0Y0BYR3oBWqKiqqN5hzp0FO2W11f8k7ED/QPWO7V1vSIsNiW3m\nb+AZTwNY3eLunZLHqgtgDQWvky0hjCIDcAPhDfBRFTUV2luyt96Qdqj8UIP9OoZ3rPdmge7R3eXv\n59+M38CV3S6VlzvmCSstdcykX996aanjwvumCmCehC8CGIDmRHgDWgBrrVUFlQU6UnGk0UtlbcNT\nzYe0C3Fee3ZsSEuMS1RkUKTX6q6tdQ1VpwpdJ9tWVuY4c3a6goM9C18EMAC+gvAGeJnNblNhZWH9\noavS8Xq4/LBLe2l1qdufE+gfqI7hHesNaZ0jOzc45YbV6n6wamhbYx9V1FhhYY7ruOqWyMiG1wlg\nANoqi2F449+6jbd48WItX75cycnJ2rp1q4YNG6ZJkyZ5tZ/FYlEzfy20UnbDruKq4pMGseOXo5VH\nG5w+oyH+Fn/Fh8a7LLHB8YoOjFeEf7zC/eIVZolXiBGvIJtjsVeFqbLS4nboOp0L649nsZw8ZJ3q\n/bHr4eGO51ECQFvjbm5p1jNvWVlZuvPOO5Wbm6vw8HBVVVWpT58+ioqK0pgxY7zeD74pKytLKSkp\nXj+uYRgqqy5zK4gVVBQ0+DSAhlhkUbhfnEIVr1DFK9ger8DaeAXUxMvfGi+/qnipIl5GebzsZfGq\nKY5XdWmUKissKqiU9lQ4zmh5M2QdKyDg9ELWse9DQ13vdmyq3w7Ng9/Pt/H7tR3NGt4ee+wxjR49\nWuG/PpwuODhY48aN0xNPPHHSEOZpP/im4/8HZBiGauw1stZaZbVZVVVb5VyvrKlSudWqo+Vl2l98\nRAdLjuhQ2REdLj+igsojKqw6oqLqIyquPaLS2iOqlftXs1usUVLFb4Grbr2hxaiMUZnhLzeft30C\nPz9HOAoJOflrY8961a0HBZ1mYSfBHw/fxu/n2/j92o5mC29Wq1Xr16/Xdddd59Lev39/zZo1SwUF\nBYqLi/NaP7jPMBxne6qrHUultVZllVaVVlWpwmpVeZVVZVVVqqi2OhZrlSprrKqodrxaax1hqqrG\nqqpaq6y2KlltVlXbrKq2Vzlfawzrr0uVag2rbLKqVlWyWRzr1vUH9XT1v2W3WGX3r5LhZ5UsXhoG\nrw47ZfhyWSpjZdh+m8eswUAV17igFRLSuH1CQx1nyJjDCwBwvGYLb7m5ubLZbCcErdhYx/xROTk5\nGjx4sNf6zVv1rex2Q3bDUK3NLrthON/b7Y7Fdtx7u/Fr26/rhmHIZre79qvv9dd1w6hvu+tnO/ep\nW7cf977uWKp7b3fZVt/rses2w6Yao0o1dkdAqpUjINXKKpulSjZZZbNYZferkt3PKrvFKsO/Soa/\nVfKvktpZJX+r1K5K8nPzidQn4/fr0hgBki3ouIcw2tpJtiCpNliq/fXVFiTVBsliC5bFFqqA6ngF\n1DquBwsx4hVqJCjcz3HNWFRAvKIC4xQZEuIIRx0IVAAA39Rs4a2wsFCSFHTcmE3d+7rt3uo38fLf\ne14szJd1fEPtr8uJj2kyfl2svy6nO1yJ0zNz5kyzS8Bp4Pfzbfx+bUOzhbe6uyiOf9ahzWart/10\n+nGnKQAAaK2a7RHFMTEx9baXlzvOpERHR3u1HwAAQGvUbOGtV69eCgwMVFFRkUv7/v37JUmJiYle\n7QcAANAaNVt4CwoK0tChQ7Vp0yaX9o0bNyopKUkJCQle7QcAANAaNVt4k6R7771XixYtUklJiSSp\nuLhYS5cu1YwZM5z7ZGZmKi4uTpmZmW71AwAAaAua/fFYGRkZWrVqlZKTk7VhwwYNHz5cU6ZMcW7P\nzMzUuHHjtHDhQo0YMaLR/QAAANqCZg9vQENeffVVbdy4UT179tTPP/+ssWPH6vLLL5cklZWVOZ+w\ngZbr0KFDmjdvniTHTUX79+/X7NmzT5jqBy3HwYMHdffdd2vFihXq1q2b3nnnHZ1zzjmSpKKiIr3+\n+uv6y1/+YnKVOJWysjI98sgj2r59u3JycnT++edrwYIFateuWR+kBA8cPXpUzzzzjHJychQZGamL\nLrpId91110n7EN5gOsMwlJaWptraWi1cuFCS4w9/79699cUXX6hXr1566KGH9Mwzz5hcKU5m165d\nWrp0qe6//375//qE+RtvvFHDhg3TbbfdZnJ1qE95ebmGDh2qwYMHKzk5Wd9//71Wrlyp7777Tu3a\ntdMLL7ygm2++mWuLfcCSJUvUt29f9evXTxs3btQXX3yhqVOnml0WTuGXX37RkCFDdNttt+lvf/tb\no/sRyWG6559/XpmZmcrLy3O2hYWF6bzzztP8+fN1zTXX6NxzzzWvQJyS1WrV4sWL9dBDD7m079ix\nw3n2FC3PK6+8otmzZ+uSSy5xaVu+fLlGjRqlo0ePEtx8RHx8vF577TW98MILGjhwoAYOHGh2SWiE\n22+/XR06dHAruEmceYPJrFarOnTooMmTJ2vWrFku2yZOnKiAgABFRUVp1qxZ8vNr1vtr4IY33nhD\no0ePdj62TpI++OADTZs2Td98841CQkJMrA4NWb16tVJTU13aamtr9eCDD+rCCy/UWWed5RxCRctm\ns9nUp08fzZw5U7fccovZ5aARDhw4oDPPPFMXXXSR+vbtK0mKi4vT888/f8q+nHmDqbZu3ari4uJ6\nz85YLBatXLlSGRkZBLcWrrCwULGxsXrttde0a9curVmzRrt379bmzZsJbi3Y8cFNktq1a6eAgABt\n27ZNY8eONaEqeKKyslIpKSm69dZb1bdvX11wwQVml4RTyM3NlSTNnj1bv/+9e4/05C8iTFV3bVSX\nLl3q3XbRRRdp2LBhzV0W3LB371716NFDktShQwf5+/urf//+stvtevHFF02uDp4oLi5W165dzS4D\njbRixQqlpaXpwQcfVL9+/fTnP//Z7JLQCJ07d5Ykj27GI7zBVMnJyerTp49+/PFHZ5thGHrnnXe0\ne/du1dbWSpK+/vprs0rEKaxbt06XXXaZJOmaa67R008/rTlz5igtLU3Lli0zuTp4orKyUqNHjza7\nDDRCVlaW7rjjDr355ptKTEzU1KlT9fXXX6u4uNjs0nAKXbp00TXXXKNPP/3U2VZbW3vCE6Xqw7Ap\nTOXn56ePPvpIjz76qLZt2yZ/f3/Z7XaNHDlSCxcu1I033qjp06fXO7yDlqG0tLTeZxBXVlYy3O2j\n2rdv3+BzpdFyGIahKVOmaOrUqc7nfNcNv9X9wxct2/z58/Xggw/qoYceUlBQkMrLy11+z4YQ3mC6\nPn36OKcIOd5nn33WzNXAXXa7vd72devWKSUlpXmLwWkrLCxs1L/8Yb5t27Zp165dGjlypLOtqKhI\nZ5xxhuLi4kysDI0VERGhl19+2e1+hDcAHtuzZ4/y8/NPaP/yyy+1a9cuvf/++yZUhdOxatUq7jD1\nEeXl5ZLkcn1iVlYWN5q0AYxpAPDY+vXrVVxcrCNHjjjbDh06pDvuuEP/+c9/1K1bNxOrgyfWrl3r\nMu8bWq4BAwbozDPP1JYtWyQ5wtw777yjBx980OTK0NQ48wbAY8XFxfr73/+u5557ThaLRYZh6MCB\nA8rIyNCAAQPMLg8e8PPzY1JsHxEUFKSPP/5YTz31lJKSknTo0CG98cYbOvPMM80uDU2MSXoBeOyF\nF15gWgIAaGYMmwLwyJ49e9ShQwezywCANofwBsAjWVlZGjRokNllAECbQ3gD4JHc3Nx6n4wBAGha\nXPMGAADgQzjzBgAA4EMIbwAAAD6E8AYAAOBDCG8AAAA+hPAGAADgQwhvAAAAPoTwBgAA4EMIbwAA\nAD7k/wcas8R6jleWKgAAAABJRU5ErkJggg==\n",
"text": "<matplotlib.figure.Figure at 0x5a14450>"
}
],
"prompt_number": 32
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "Axis grid"
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Using the grid method in the axis object we can turn on and off grid lines. We can also customize the appearence of the gridlines, using the same keywork arguments as we previously used with the plot function."
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, 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)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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1f8gyZPFS05dY1HMRbi5uaoclhBAPdDH5Ih2XdST8ajg1y9Vk+6Dt1K1YV+2w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\nCCGEKCRpqIQQQgghCkkaKiGEEEKIQvp/ioJHJCw251sAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x5099f10>"
}
],
"prompt_number": 33
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": "Axis spines"
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, ax = plt.subplots(figsize=(6,2))\n\nax.spines['bottom'].set_color('blue')\nax.spines['top'].set_color('blue')\n\nax.spines['left'].set_color('red')\nax.spines['left'].set_linewidth(2)\n\n# turn off axis spine to the right\nax.spines['right'].set_color(\"none\")\nax.yaxis.tick_left() # only ticks on the left side",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": "<matplotlib.figure.Figure at 0x50b9b50>"
}
],
"prompt_number": 34
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": "Twin axes"
},
{
"cell_type": "raw",
"metadata": {},
"source": "Sometimes it is useful to have dual x or y axes in a figure, for example when plotting curves with differnt units together. Matplotlib supports this with the twinx and twiny functions:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, ax1 = plt.subplots()\n\nax1.plot(x, x**2, lw=2, color=\"blue\")\nax1.set_ylabel(r\"area $(m^2)$\", fontsize=18, color=\"blue\")\nfor label in ax1.get_yticklabels():\n label.set_color(\"blue\")\n \nax2 = ax1.twinx()\nax2.plot(x, x**3, lw=2, color=\"red\")\nax2.set_ylabel(r\"volume $(m^3)$\", fontsize=18, color=\"red\")\nfor label in ax2.get_yticklabels():\n label.set_color(\"red\")",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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HunWztj05Gj0a6NmTndjq1aymHcJs02+++iorINx2G3DJJdk/Zxj8vVm95ucO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\nEREJOf8PpyUKf+ZhSokAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x3d80cd0>"
}
],
"prompt_number": 36
},
{
"cell_type": "raw",
"metadata": {},
"source": "Axes where x and y is zero"
},
{
"cell_type": "code",
"collapsed": false,
"input": "fig, ax = plt.subplots()\n\nax.spines['right'].set_color('none')\nax.spines['top'].set_color('none')\n\nax.xaxis.set_ticks_position('bottom')\nax.spines['bottom'].set_position(('data',0)) # set position of x spine to x=0\n\nax.yaxis.set_ticks_position('left')\nax.spines['left'].set_position(('data',0)) # set position of y spine to y=0\n\nxx = np.linspace(-0.75, 1., 100)\nax.plot(xx, xx**3);",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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ArFu3jpiYGADy8vJITEwEYNmyZSxZsiT/e5KSkoiMjAx8WBGX07SJ+ExqaiqD\nBw+mfv367Ny5k/Hjx1O7dm02bNhAt27dSE5OZtu2bYwcOZJmzZpx6NAhatasyZgxYwocS9MmIoVT\neYsjqbxFCqdpExERF1J5i4i4kMpbRMSFVN4iIi6k8hYRcSGVt4iIC6m8RURcSOUtIuJCKm9xJJ2g\nI1I4lbeIiAupvEVEXEjlLSLiQipvEREXUnmLiLiQyltExIX+H1Id8OYsEv4IAAAAAElFTkSuQmCC\n",
"text": "<matplotlib.figure.Figure at 0x57cec90>"
}
],
"prompt_number": 37
},
{
"cell_type": "markdown",
"metadata": {},
"source": "\u5982\u679c\u6807\u7b7e\u5b57\u7b26\u4e32\u7684\u524d\u540e\u6709\u5b57\u7b26\u2019$\u2019\uff0c\u5219matplotlib\u4f1a\u4f7f\u7528\u5176\u5185\u5d4c\u7684LaTex\u5f15\u64ce\u5c06\u5176\u663e\u793a\u4e3a\u6570\u5b66\u516c\u5f0f\u3002\n"
},
{
"cell_type": "code",
"collapsed": false,
"input": "%matplotlib inline\nimport numpy as np\nimport matplotlib.pyplot as plt \n\nx = np.linspace(0, 10, 1000)\ny = np.sin(x)\nz = np.cos(x**2)\n\nplt.figure(figsize=(8,4)) \n\nplt.plot(x,y,label=\"$sin(x)$\",color=\"red\",linewidth=2) \nplt.plot(x,z,\"b--\",label=\"$cos(x^2)$\") \n\nplt.xlabel(\"Time(s)\") \nplt.ylabel(\"Volt\")\nplt.title(\"PyPlot First Example\")\nplt.ylim(-1.2,1.2)\nplt.legend()\n\nplt.show() ",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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NvmAtWsoe68GD7H0GXFxIG0BWf3qQcffyyl3bamq5ePEiKlSoIOnY7du3Y8aM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\n+X/zbhMukCatzAAAAABJRU5ErkJggg==\n",
"text": "<matplotlib.figure.Figure at 0x25d7b50>"
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": "\u8c03\u7528figure()\u521b\u5efa\u4e00\u4e2aFigure(\u56fe\u8868)\u5bf9\u8c61\uff0c\u5e76\u4e14\u5b83\u5c06\u6210\u4e3a\u5f53\u524dFigure\u5bf9\u8c61\u3002\u4e5f\u53ef\u4ee5\u4e0d\u521b\u5efaFigure\u5bf9\u8c61\u76f4\u63a5\u8c03\u7528\u63a5\u4e0b\u6765\u7684plot()\u8fdb\u884c\u7ed8\u56fe\uff0c\u8fd9\u65f6matplotlib\u4f1a\u81ea\u52a8\u521b\u5efa\u4e00\u4e2aFigure\u5bf9\u8c61\u3002figsize\u53c2\u6570\u6307\u5b9aFigure\u5bf9\u8c61\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u5176\u5355\u4f4d\u4e3a\u82f1\u5bf8\u3002\u6b64\u5916\u8fd8\u53ef\u4ee5\u7528dpi\u53c2\u6570\u6307\u5b9aFigure\u5bf9\u8c61\u7684\u5206\u8fa8\u7387\uff0c\u5373\u6bcf\u82f1\u5bf8\u6240\u8868\u793a\u7684\u50cf\u7d20\u6570\uff0c\u8fd9\u91cc\u4f7f\u7528\u7f3a\u7701\u503c80\u3002\u56e0\u6b64\u672c\u4f8b\u4e2d\u6240\u521b\u5efa\u7684Figure\u5bf9\u8c61\u7684\u5bbd\u5ea6\u4e3a\u201c8*80 = 640\u201d\u4e2a\u50cf\u7d20\u3002\u4f46\u662f\u5728\u663e\u793a\u51fa\u7ed8\u56fe\u7a97\u53e3\u4e4b\u540e\uff0c\u7528\u5de5\u5177\u680f\u4e2d\u7684\u4fdd\u5b58\u6309\u94ae\u5c06\u56fe\u8868\u4fdd\u5b58\u4e3a\u56fe\u50cf\u65f6\uff0c\u6240\u4fdd\u5b58\u7684\u56fe\u50cf\u7684\u5927\u5c0f\u662f\u201c800*400\u201d\u50cf\u7d20\u3002\u8fd9\u662f\u56e0\u4e3a\u4fdd\u5b58\u56fe\u50cf\u65f6\u4f1a\u4f7f\u7528\u4e0d\u540c\u7684dpi\u8bbe\u7f6e\u3002\u8fd9\u4e2a\u8bbe\u7f6e\u4fdd\u5b58\u5728matplotlib\u7684\u914d\u7f6e\u6587\u4ef6\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5982\u4e0b\u8bed\u53e5\u67e5\u770b\u5b83\u7684\u503c\uff1a"
},
{
"cell_type": "code",
"collapsed": false,
"input": "import matplotlib\nmatplotlib.rcParams[\"savefig.dpi\"]",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 4,
"text": "72"
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": "plt.subplot(221) # \u7b2c\u4e00\u884c\u7684\u5de6\u56fe\nplt.subplot(222) # \u7b2c\u4e00\u884c\u7684\u53f3\u56fe\nplt.subplot(212) # \u7b2c\u4e8c\u6574\u884c\nplt.show()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": "<matplotlib.figure.Figure at 0x1a3f950>"
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": "plt.subplot(211)\nplt.subplot(223)\nplt.subplot(224)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 8,
"text": "<matplotlib.axes.AxesSubplot at 0x3059f90>"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": "<matplotlib.figure.Figure at 0x1a42610>"
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": "import numpy as np\nimport matplotlib.pyplot as plt\n\nplt.figure(1) # \u521b\u5efa\u56fe\u88681\nplt.figure(2) # \u521b\u5efa\u56fe\u88682\nax1 = plt.subplot(211) # \u5728\u56fe\u88682\u4e2d\u521b\u5efa\u5b50\u56fe1\nax2 = plt.subplot(212) # \u5728\u56fe\u88682\u4e2d\u521b\u5efa\u5b50\u56fe2\n\nx = np.linspace(0, 3, 100)\nfor i in xrange(5):\n plt.figure(1) # \u9009\u62e9\u56fe\u88681\n plt.plot(x, np.exp(i*x/3))\n plt.sca(ax1) # \u9009\u62e9\u56fe\u88682\u7684\u5b50\u56fe1\n plt.plot(x, np.sin(i*x))\n plt.sca(ax2) # \u9009\u62e9\u56fe\u88682\u7684\u5b50\u56fe2\n plt.plot(x, np.cos(i*x))\n\nplt.show()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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B1gDtr7XT/vt2XB+4sF1qI+e6HOxX2TGkx++sDKUUB3p7edfpZIvLxRanE79S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\nzhxCbwmhT9Ewm8GoT8JsSCL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"text": "<matplotlib.figure.Figure at 0x2df9c50>"
},
{
"metadata": {},
"output_type": "display_data",
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08veRFJ4YTnyR/JRozeUauul4k8RNilNo6wsLKSg6mprUVGl2iooKotBQopde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"text": "<matplotlib.figure.Figure at 0x3551090>"
}
],
"prompt_number": 9
}
],
"metadata": {}
}
]
}
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