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@olgabot
Created January 23, 2014 00:22
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{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"%load_ext autoreload\n",
"%autoreload 2"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"The autoreload extension is already loaded. To reload it, use:\n",
" %reload_ext autoreload\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import prettyplotlib as ppl\n",
"import matplotlib as mpl\n",
"\n",
"# Make random string labels\n",
"from pandas.util.testing import rands\n",
"\n",
"np.random.seed(10)\n",
"\n",
"ndatapoints = 10\n",
"nitems = 20\n",
"\n",
"data = np.random.randn(ndatapoints, nitems)\n",
"labels = [rands(5) for i in range(nitems)]\n",
"\n",
"# fig, ax = plt.subplots(figsize=(10, 4))\n",
"ppl.boxplot(data, xticklabels=labels)\n",
"fig.savefig('boxplot_prettyplotlib_many_labels.png')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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eF/xJwFZUDKSN/L4ne3nIehJrYfVlvKfRc1g9yPIm8wPvgY0d5Xtzp2BGy/Dc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\n",
"text": [
"<matplotlib.figure.Figure at 0x112a0e4d0>"
]
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import prettyplotlib as ppl\n",
"import matplotlib as mpl\n",
"\n",
"# Make random string labels\n",
"from pandas.util.testing import rands\n",
"\n",
"np.random.seed(10)\n",
"\n",
"ndatapoints = 10\n",
"nitems = 10\n",
"\n",
"data = np.random.randn(ndatapoints, nitems)\n",
"labels = [rands(5) for i in range(nitems)]\n",
"\n",
"# fig, ax = plt.subplots(figsize=(10, 4))\n",
"ppl.boxplot(data, xticklabels=labels)\n",
"fig.savefig('boxplot_prettyplotlib_many_labels.png')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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6/6iLcRrkvw/US/fl/jjdHdKJwcYPiGnAFxOzWo4kxp62AJ7Pe5+o16xbs65A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\naYuIVIiStohIhfx/yTHaUWH7TqIAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x1138ff550>"
]
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import prettyplotlib as ppl\n",
"import matplotlib as mpl\n",
"\n",
"# Make random string labels\n",
"from pandas.util.testing import rands\n",
"\n",
"np.random.seed(10)\n",
"\n",
"ndatapoints = 10\n",
"nitems = 5\n",
"\n",
"data = np.random.randn(ndatapoints, nitems)\n",
"labels = [rands(5) for i in range(nitems)]\n",
"\n",
"# fig, ax = plt.subplots(figsize=(10, 4))\n",
"ppl.boxplot(data, xticklabels=labels)\n",
"fig.savefig('boxplot_prettyplotlib_many_labels.png')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x113868490>"
]
}
],
"prompt_number": 11
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"But if you have MANY items (`nitems = 50`), I suggest making your figure wider:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import prettyplotlib as ppl\n",
"import matplotlib as mpl\n",
"\n",
"# Make random string labels\n",
"from pandas.util.testing import rands\n",
"\n",
"np.random.seed(10)\n",
"\n",
"ndatapoints = 10\n",
"nitems = 50\n",
"\n",
"data = np.random.randn(ndatapoints, nitems)\n",
"labels = [rands(5) for i in range(nitems)]\n",
"\n",
"\n",
"figwidth = 20\n",
"figheight = 4\n",
"fig, ax = plt.subplots(figsize=(figwidth, figheight))\n",
"ppl.boxplot(data, xticklabels=labels)\n",
"fig.savefig('boxplot_prettyplotlib_many_labels.png')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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+b/n31yGmIN8M/JIoR1+Vz4/fEqP5jaa1Xz7P1qY2/fqynN8HiVlA\n/0oE3JrOa/15ka+LjYnA0t3Agsp7TS89yfkulwydkvO79jA/933yEuMG0iy/pzOIjmx5zZXl29uI\nINn0FvK7AXnpCjHr4HxiUOk7xMjtXkRdciSttTGqyxenEJ2Xb+fvcnI+529qIJ3x+f9PEHXHXeX5\nT4zkX0duTxAN+KaX9+RzYRLRFrgtf3cH5tf+itoSjFaWJG9OZel45Rx5O/D1yuvvJoKDqzWY7mbE\nzJF35ufnEO3MGys/czCxvGOVFq+RM4lO3UFUyhxiacvlzR6Lyu9vXz3HidkOvyY6oXsSbY9XN3q8\ncxpl/XccMTC4BTHb4Xiio/sY0SlveIlSJc0V614/mxisKZ+/mQhWDJvfSjqH5fPpXVTqiPz3vi6n\n8zBN1s85jQ3J5S0xOPElYubT1XU/txD4SZNpr1/3fO18bvyQ6PesQpRR3wJmNJHuMUTb/fX5+QRi\nkGaL/Hwjoo/TVP1EtNGGa4OvDSwggivHE3X13wJTm0z/1ZXHK+X/y3P4ucp7DS1FJZZM/T0RHHyY\naK8dkPP6EHnrDZqsl5ZyDE4jAjP/TpQXdwB/mT97rWbTrz/nqdVZxwHfqHzPRzb63eX/DyY29V8/\nP7+BKIuarosqaR9aOb4nEO2pdfJ7E4ky+DrgzCbTnZGP43r5mDwMXDHMMTmD6Ke00r44BHh75fn2\n+W84tfLaycTM0mbS3Z8ozy6uvHY28I/U2gcrtpDfrXJ+Xlv3+i1EWVm2m/ci2uOvqj+XXpFmq198\nN/5VTtQ35hPzZ9R1JohK+TlypbPcP3DoyX858DmiENyDaAxfVLkgXt1m/ncHDqg8v4ZoCE9sI80p\nRKDrnPoLlVoA6CIabwDvT3Rkf0osM5mRX/8c0XD/Vb5oHydGZxpJ8xaiUjmeGHX4F2IWzmvzxflj\nYjruDcDXWjkn8uNjiEb1gUQU/ML89+9KjKzdBWzUYLpHEJXLT4lGdBlE+gpRcZQBi0lEoGlSC9/d\nm8kVIVGYfZNaQOKsfMwnN5nmdKKQ3b3y2veIRna1QXkOMVvnFcHPYdI8KB+L7xGjiGUhdS7R6ZxO\nRJnfkc/n5Taoic7QWyvPV6o8/isisj6+/nteXl4rP19t7B1PjEidT63xUHYK3kF0pDduJN1hvr/v\n5scHEo2bc6g1CsfTZJmRz9PfEA3Un+bvbXp+b2XgF8R1fTxxDb6iw7uMtMcTnbpz8vM1iYrnR8C+\n+bWGro9KmtXOyxReWQZNysd4IdHw3GY56ZXf8wSigTeOCLDtRASGq+fJ6stLb5j098zn7OHEtPdP\nV97bGbgnPz6KmGa/XoPpvpYoH8+jVlacSQSAdqPWgd6HKAvXosG17sQ1Wt8huoCoA39ElFXXAkc3\nkFY1QLU2EdA+O59bHyE6bB+rnNMN1RtL+x7z45nALfnx1kS9enF5nFpI++p8XL9ABGRWycfhemKm\nT3mNf5O6zthS0tuq8ngcUa7tn8+VDxGzHGfmY3Q4OfjfRH4PJmZHPkQE3ScQbYzz8zn9ADEr7CtE\nsLHhQDRDB8SmEtf3WtSm15eB4j2Jenipjb783TxCBKcSEcD8f+S9JIgy/jJgTivfW/W8IDrfKxP7\nEp1EzJQ8kwhW/ZwmO0Y5zW2JJRwXUBukKD9vOrEcDiIY8ChNBM/z9/XRfL3sl4/vlcR+Cgfln3k7\nEcxrej8kokMzjqj3b8jPy6DjTKI+aCioVJ4T1NoSdwDfrLy/Yj4XDs/5b3g/K2r1ZnXfuNOBZ4Fp\n+fn6RB313hbPkW0YuofeccCd+fEexIyVty3j98u/ewVqM9+Op9ap/yxRVjxIpQ3SZP4eI2bilsHS\ns4l2S7kPYrX8262J721d4J/I+65V3lub6Mx+LR/fjYjO3oYNpLtF5bs5Oed9av7+76lea8SA03dp\nLWi3CXV7KBLtoSMrz5sNqGxNtFN3qLxWlu9rELNJP9NEevvl82e3fH58APjL/N6h+XjsQ5N7r9Z9\n3ycRbYEziTL4EKJ8OyDneRJNDvDXfdbO+TutBrl3I8q9A4m2VsPtImIW2N9TmSyRz8UvEgHGpuq7\nShoXUas71iTqt/0r76+Rz8fP0eCeXkRfZCGwV+W1bcmb2VdeewdRxjfVPsy/O48YaPw6MYj+bqLe\nPDafO2W5/H2a2I+UaNv/HRFEeqg87/J7c4h2xpLJCk3m+TpieffjRHlcBngPI+qpbxHl1W9oMGDc\n0snZzX/5QvoV8DFqd8sqR6JWJSLZR1dO4OUeRGI0/GGiwvpNPunHE527a4kGz0o0X3BVC4QPEB3o\n+4lgR1mJfi5/dksbgRIjNn9LNBrfR92smVxIfDYXDMscwSYaHL/JJ8ksInByZz5pdydGgt+Rf3bN\n+s9aSppHUzfykY/3Q0SwZkWisf0olc1sWzj530sstzmO2Fj0KGIU+2yi8r+HBkccqG1oXFaYV+Xj\nu2d+fmM+5mU0tdnzYkWiIX0NMZq4XX79DqLxeHm+iJsKSBAN3GeA+cO89z3gtsp38isa2ICO6AT9\nllqQ6jaiIVVu4HZyvkZuIToxy90oL1+XJxBBtUMrr69Uef9HOc9NbwZHXMfX58fvJ0Z0Tic6g49R\nC9zNzN9jQ5us1Z+TRMfl9rrjfwURdJzcQr53IRoz5abUU/LxXQQcmF/7HNHpv5flbEpMdIRPI8rM\nNfJrx+VjW3aOViE6AF8kOi/jhvtbG8j7h4ly7V6iU7565b1PEg3aZR5nhnZY3kgloEp0aH+QH7+Z\nCFSMbzKPidiMtAx+7ZqPxQfInQmirLibKEMa2vSZ2LT/iXysL8rXw0cr59itRHD7dKLyP6jZfOf/\ntybK4bLcWSt/ZwuJAY8Fy7pe8nf9JqJ825kYBTqOCKa8l6gr3lD//Td7LtTl+QSibK8GWLYj6pZr\naHIjYqIc/g5xjb8f+Hx+fQ2iPClnRd3O0E1Xlxbw2IYIeFVHDs8m2hU/ycfn5Jx2UzPicloHE/X7\nNkSQ7nZq7ZMyAHQJbQbZiLr7LmIWxrVUynai0/EES5mdWvddf4Gom8sR2k8TI9XlDQI+SMz2XKmZ\n86LuM1bJaWxXeW17arMbnqO1GUWrEe2rOdQNhhHtuVvyeb6Axsv8Dak19tcmyorriVlQ4/L3dzUx\nY3UhDd4EovK9pZzOD6nNSD07fw83Eu3cx2mtE1O2Kybkc+KdlfceINpzB1Xzs5z0yrJ5HNGhuIhc\nfxNl2x/IwY/hfq+R9Im20ReJPTbK13cn2vpT8zE+cHl5Jsq4R4mAxH5EvXR8fu9kop205G9v9Fwm\nZpY9TiwhG/K3EXXSV4g208p1v9fIIFt5fA8n2uFH1b0/hZhtV86Ma2iGQD6HvlN5XgZbn6BWl1QH\nBa4CTmryXDs0p/dDYiuL8vVziE5yGZBseBCPKGNeQ7SRL6DSfqc2mDKRmFVzRYP5vJbo05RtwK3z\nuVUeh6OJ8rqpOrqS/geJ9sOhRLuqbAecQexV9Irro4E0dyf3jYjyazFRzz1GrleJNtHLOe/La2dt\nydB29wWV9Fdk6KDrV2h+plb9Spdx+bu/gjxYWnlvdSptxeWku1W+Ls7Kzzch2lXr5vf+hqizyy1U\nmt60mwgu/7jyfA75es/H5urKeX5zE+luRAzmVid//JjK5BVi4OafaCHYRgTAPkMEx75KtJOuycdm\nF6Le+hS1geTlX3+tXACd/EdUXNWC6RpqyxQ2JgIeP6J2F5Gyol5qYVv/OtEhOIAotB9k6FKfnWht\neUX9nYtmUeuA3UF0ostRg0tp465D+fc/SEQqTyAqu50q72/Ochqu+Xf+sXrBEMsMTszHd19qM6Aa\nvmsWEYH9TH68GrUKbv/8eZsQnaf9lvb9LCXdaqU7MZ/sE3J+72Zo42oNGixgynOIGH3cp/Lax4iC\nsLzLwPfyudJogHEn8iwDaneB2pAYAb+CWkPtVGL2wPaN5jf/3iHEqO0sokC8mLo7pxHL4H5LFJLL\nbfzm8/aGfF6NI6LfTxOVebkR6ngiELgZDcwaIQqjifncOjUf08Mr76+W/y/vkNDUUq/8u/sCf50f\n30ie1VJ5Xs7WeRd5ynMDaVav572Jxu52RGUzpfLeXkRnrpkZOeW5emTlHKmev6eQR26JzsYfWE6Z\nRMxE+SXRsLk5/786cb1dSoxib0U0ru7O59wN1e+igfyW/x8E/Cg/voroLFaP15fIgdQG0y3vDHVY\n5b2JxOjFkUTgsukR25zO0cSmw+8h1nJ/Jv/7ErmxTUytb3hkjgjAfLHy/GJihta5+fnBxHV5Nbmc\no4kOR/75w4hA5V8RwaRTqNV1GxIB+mUGEIjZdmcQ5cDT1EaZ3pHz9n5qQd2mAmuVz9iJ2myTcUTj\nqZyFu0rl57YiGjsNzayqnNPfpTaCvxHRyCvvurQyUa7sw9CR4mV1ErfM5/+/EHvEla9vQa2+3j9/\nn03d8ZMoL3/C0BG+9+brrJw9uXo+RhfR4p0+icDJr/Ix3ZkIclxIra56T/W8G+b31657fiXRiSiX\nvJ9LBAq+RAyiNFU31aVdDnp9ndiAf7jrv9mA4IT8/0o53fOIcug9RFmyS77e/p1YgtHQXXeI0fQ/\n57/5UKJjMI64li+m1pCeQARVW5n9W15v91DpcBKduZlEXd7QDLnK8RtHBKr+lwhaHkfUtTOJNtg4\nIsCypCOwrGuk/jOIzvNZOW+/pjbKfDrRAW142T5xDZfXWdk2nEIE8cq74KxK7Nn4FLW2/3DbNVSX\no61ABC7L8/6tRNl5Yv5e39js355//t3kJRtEZ3AaEUwq6473EnXt/k2muw8RKFm9kt/F5MHWys99\nBXh3k+fYrlSWPObXTiBme2xfOV4rEO2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oP57T3S5/zqJ8zD/f5HkxgyhI30Vtf5zziChn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"text": [
"<matplotlib.figure.Figure at 0x11390f1d0>"
]
}
],
"prompt_number": 12
}
],
"metadata": {}
}
]
}
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