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@Carreau
Created June 1, 2013 12:40
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Bug example with matplotlib rcParam grid.
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{
"metadata": {
"name": "rcGrid"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"rcParam Grid incoherence ?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%pylab inline\n",
"import matplotlib as mpl"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].\n",
"For more information, type 'help(pylab)'.\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Define some Minor Locator"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Define some minor locator to see if the grids draws on minor locator with a linear scale"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from matplotlib.ticker import MultipleLocator, FormatStrFormatter\n",
"\n",
"majorLocator = MultipleLocator(100)\n",
"majorFormatter = FormatStrFormatter('%d')\n",
"minorLocator = MultipleLocator(20)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "heading",
"level": 4,
"metadata": {},
"source": [
"set axes.grid through rcParams"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"mpl.rcParams['axes.grid'] = True\n",
"fig,(ax1,ax2) = subplots(1,2)\n",
"fig.set_figwidth(fig.get_figwidth()*2)\n",
"\n",
"ax2.xaxis.set_major_locator(majorLocator)\n",
"ax2.xaxis.set_major_formatter(majorFormatter)\n",
"ax2.xaxis.set_minor_locator(minorLocator)\n",
"\n",
"ax2.yaxis.set_major_locator(majorLocator)\n",
"ax2.yaxis.set_major_formatter(majorFormatter)\n",
"ax2.yaxis.set_minor_locator(minorLocator)\n",
"\n",
"ax1.loglog(range(500),range(500))\n",
"ax2.plot(range(500),range(500))\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
"[<matplotlib.lines.Line2D at 0x10bbd4110>]"
]
},
{
"metadata": {},
"output_type": "display_data",
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K0NAAzJmjvsi3ejXwzDNAyxiBqnbr48QcdvtZxjUyheFoZ5O4ODVfWtJZ5wTJ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\ngg==\n",
"text": [
"<matplotlib.figure.Figure at 0x10bbd4850>"
]
}
],
"prompt_number": 10
},
{
"cell_type": "heading",
"level": 4,
"metadata": {},
"source": [
"set axes.grid through grid()"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"mpl.rcParams['axes.grid'] = False\n",
"fig,(ax1,ax2) = subplots(1,2)\n",
"fig.set_figwidth(fig.get_figwidth()*2)\n",
"ax1.loglog(range(500),range(500))\n",
"ax2.plot(range(500),range(500))\n",
"\n",
"ax2.xaxis.set_major_locator(majorLocator)\n",
"ax2.xaxis.set_major_formatter(majorFormatter)\n",
"ax2.xaxis.set_minor_locator(minorLocator)\n",
"\n",
"ax1.grid(True)\n",
"ax2.grid(True)\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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RI0cYN24cN9xwA0OHDmXlypUAnDx5kokTJzJ48GAmTZpEU1NT6/cUFxczaNAg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\nyyIiIiIiHdBkWURERESkA/8fSOPdcDA/2BEAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x10bbc5690>"
]
}
],
"prompt_number": 9
}
],
"metadata": {}
}
]
}
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