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@trueskawka trueskawka/notability.ipynb Secret
Last active Feb 28, 2019

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I use [Notability](https://www.gingerlabs.com/) a lot to take notes while learning and during meetings. It's fast and comfortable, allowing me to jot down my ideas on the fly. One caveat of taking notes in this way is that they're not easily exportable in an editable format, so I can't reuse them in other contexts (e.g. when creating diagrams to explain ideas).\n",
"\n",
"I poked around and found a blog post by [Julia Evans](https://jvns.ca/blog/2018/03/31/reverse-engineering-notability-format/) on reverse engineering the Notability format, which was a great starting point. My use case is a bit different, since I didn't want to put my notes in the format - I wanted to get them out of it. It also seems that Notability has changed formats since then, but the initial ideas turned very helpful."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Getting the data\n",
"\n",
"I grabbed a note on curl and unzipped the file. I tried to use Julia's code directly, but quickly realized the data is in a slightly different format. To decode it, I needed to use `biplist`, for binary plist files."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import biplist\n",
"\n",
"note = './Blog_post/Session.plist'\n",
"\n",
"try:\n",
" plist = biplist.readPlist(note)\n",
"except e:\n",
" print('Not a readable plist: ', e)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I then wanted to see what's in the data and poke around a bit to see what I'm working with. \n",
"\n",
"I needed to retrieve:\n",
"- data points for each point in the drawing\n",
"- some information on connecting the points\n",
"- some information on figuring out where a shape/curve ends\n",
"- colors and for the curves\n",
"\n",
"I listed out the keys and decided `$objects` looks promising. I followed with a highly scientific method of going through the keys of `$objects` one by one to find something useful. An element that looked promising had keys `curvespoints` (sounds like the coordinates of the points) and `curvescolors` (might be the colors) in it, so it looked like I hit the spot."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dict_keys(['$version', '$objects', '$archiver', '$top'])\n"
]
}
],
"source": [
"print(plist.keys())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dict_keys(['eventTokens', 'curvesnumpoints', 'numfractionalwidths', 'curveswidth', 'curvesfractionalwidths', '$class', 'curvescolors', 'curvespoints', 'numpoints', 'numcurves'])\n"
]
}
],
"source": [
"print(plist['$objects'][8].keys())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Drawing initial data\n",
"\n",
"I grabbed the points and unpacked them with `struct`. To make sure I have the right data, I plotted them."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.PathCollection at 0x11c9247b8>"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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M6rdQ/Wy5NJPbb8dht4+k7lPDasd3BblqrT61cXbb2lhL/VmnW8mi6n0+sn4sWW5bG2tRKq4eOVYqrvb9G1pUf2wmh0QbKccnsVpI7tWThw4+nfeQaag3mt57vlWt1ePizq14cftmXLl+/8h79JXr9+PF7Zux/ovfxivv/jZe2r4ZF3duHXvsKn0+y3f39jO+BwAAAADkXVI3907HeRhHWn0xy7ojsPiEnwAAAABgiXQWQactcB5FUjGrWxZBhe7xv/XBg763P64sC3Kb65V44XQx9eeLXAhU3GSaNtcrce3y+aiUS1GIw/DFtcvnl3KX0LRibSFi6gGeg5Q2U50OPvM06DNlVFu/fjD3+zRvvSHl3me/8/9fPG1Fo9lKDUX1CznbaRUAAAAAXXqYtq2NtSiuHN22q7hSWMoN0oDpOTXvAQAAAAAA09FZBN1ZXN7pzBMRYwUK+hWtKuVSbG2sTTWo0Dv+tEX8vcqlYvzFn5+KJ41mnC2X4tK5M/HxJ5/Fk2+7XyTJsiD39k9ejjev35/57WZNcZNp21yvLGXYqdfWxlpcuX4/MZiyu7c/1cegUi6lBlmmfVujGvResVooDP2+HxHR+qYdV2/804l4DXWr1uqxu7cfTxrNWBnxMevoDkUNYqdVAAAAAM6mzDuaO2IihQH/D9BD+AkAAAAAlkS/zjy9i8O7F0+f7QoyDbOoulIuxe3t12Yy/kFKxdV456cvpy5+v7hzK7Eg1/72Z9MOcEUcBjre/ehR4qLyRS4EKm7CeDbXKzMLRF46dybeu/N4Jrc1qrT3kO7PlN4Q7CDN1jfx4vbN+OedH091rHk1bkh4EnZaBQAAAJi+tBpNXm1trB2btysVV80dMbbdvf1oHRyd32wdtOe+iReQbyvzHgAAAAAAMB3DdubpLJ6uf9sZqdMh6ufVh0eOJy2qzqqYVa3VU7uVdCuuFOKF08UoxOGC+WuXz/ctgmxtrEWpuJr4s879rtbq4w471ds/efnY7RZXCvH0q6/jpe2bcXHnVia3m6Wkx1JxE4ZTSQkJTjs8+PEnn6X+bN5BxUvnzhzbuLP3PWRzvRLXLp+PF04XR/rdL27fnMII82+ckPAkXjhdtNAAAADgk8+ZAAAgAElEQVQAYMrSajR5rhl05u0q5dLQ9RnoZ9iaJkA3nZ8AAAAAYEkM25knrUPUP/zuD4mBp9VCIb5ptzPbfbBT6Eszye13Lru7t5/42KR1xppU9+0+aTTj+VIxvvzq62fdoDrFzO7LduR1x8fe+5SnsUFedf6e641mFOKw61xHFuHBfoXheQYVq7V6fHivfuT+FyLi9Vcrx95DNtcrxzoRZt/faDEMU/jvvM56X2+jKsRhkBcAAABgEWQ1r57F702r0eS9401n3g6mYdiaJkA34ScAAAAAWBJbG2tx9cbDI0WzpMX1aYunk4JPERHftNvx+50fT2+gXaq1erz1wYPU2y4VVyfePbBTkHtp+2biQvCsdpHrLgRe3LkVjWbryM+TipmdIFjnOewXkpoHxU0YXu/fc3cgpZJReDCtYDzvDj5JCzra0b9TVff7zfovfvssPHoSdRbZpIWZkkLC3QtzyqeL0W5HNJqtoUJRhYj4Nz/6gfd7AAAAYCFkNa+e1e/V8QYOa5pbv34QrW++m60srhTmuokXkH/CTwAAAACwJNI680Qchm86x54vFY8FcSIOF08nhZCy2mXt59WH8f6dx30XYU8afOo2z13khi1mLuqOj8BxaYGfSrkUt7dfm/rtVWv1ePrV18eOl4qrc+/gM+mCjrd/8nK8ef3+NIe0MHoX2fRKCwmnhVXTQlGd7wBZBfMAAAAAspLVvHpWv1fHG/hWYcD/A/QQfgIAAACAJdK72DlpZ8LiaiGKK4Uju6mViqvx+quV+PBefWDnqGmo1uoDg0+Vcmmqi6+H7YyVhWGLmYMCAt2L1s9aoA65/ptI+3tOei+YVFpAplwqxjs/ffnY58KsH7NJF3Rsrlfi7qefx3t3Hk97aBOZxWOZtMimY5ygkg5+AAAAwCzNYv4kq05KWf3eedYqIC929/ajdXC0Stg6aNsMEOhrZd4DAAAAAACyk7RounXQju89dyoq5VIU4nDx9LXL5+OXm+fj2uXzx45nUWR496NHfYNPWRT6NtcrR+5fuVSM54orceX6/bi4cyuqtfpUb6/b1sZalIqrR44l3ce0IMDZculZuKHeaEY7DgMUV288zHTckGd5/5voF+x55d3fTnWcaQGZv/jzU4mB2Fk/ZpfOnRnpeJJfbp6Pv3/jlcSf/fPOj8ca1yRm9VimLaYpRMTt7dcsBAAAAABya1bzJ/3m1fP4e3trFVnWYiCv0jYJmzRcCCw3nZ8AAAAAYImlFQkaT1tR+w9/c+z4LDpCVGv1+OJpK/Xnq4VCZoW+zv1L6oh19cbDZ5fJ4nYjYuAOl/12fEwKNzRbB/Hm9fuxu7c/8443ee64w8mQ9jeRl50htzbW4sr1+4lBz0azNdX3nGF3oZ3XY/bxJ5+NdDxNnroWzeqxnLRrFgAAAMA4pjH/O6v5k6w6KWXZoSlP81wwa9VaPQoRiXPn5j2BfoSfAAAAAGCJ5XHR9O7efurPChHxd3/715kX/eYRABimmNkvJHXl+v3U69Ubzbhy/X68ef1+VGYQRJp1eAySDBv4mZfN9Uq82efvdtzwYtLCk2Hf6+f1mOX9uRrHrO5TlotsAAAAAJJMa/53VvMnw24+lpffCyfd7t5+YvCpEGHeE+hL+AkAAAAAllgeF00nLdDv+Dc/+sFMCod5XoifFpJKCzd0dApFswgi5b3jDidDHsOdvSoD/m4jjoYXXzhdjHY74o/NVpS7/ruzsCIiEheevP5qJT68Vx/4Xj+vx2wRnqtRzfI+PVdcefbclkvFeOenL3uvBQAAADIzrfnfWc6fZNVJSYcmmL60OfN22GAP6G9l3gMAAADgO9VaPV5597fx4vbNeHH7ZvyLq4f//tXV/xQvbt+Mizu3olqrz3uYACyQzfVKXLt8PirlUhTicCH+tcvn51o8WC0UEo8XIuKXm+dnMoa04mqeF+JvbaxFqbg61GU7heis5Dk8xsmR9Dcx73Bnr2H/bjvhxS+etqLRbEW75787Iad3fvMoceHJx598NtR7/bwes0V4rkY1i/vU2WX5i6etZ8f+9PU3U/v9AAAAwPKo1upxcedWvDSFmvK05n+XcU4ImFxanTDtOECHzk8AAABzUK3VY3dvP540mnG2XIpL587Ef3zwX6PRbB253DffroI8aB/+R2dX+Luffj6zxeEALKbez5qtjbXc7JbW+VzrlXw0G3nsiDVI5/nb3dsf2Ekm4vB7w/ovfhtv/2T6HUKWsYsLi6f7byKP73UR343x3Y8eHQmwjKPZOjgWfOp40mgOtQvtvB6zWdzurD/3ZnGfdNkDAACA5Tat+YzOBiq93cIjxuuiMq3530WYvwNmL61OmHYcoKPQzsEbxYULF9p3796d9zAAAAAy0z1x/XypGF9+9XW0DiY7H/vZj34gAAVAot5CZ8RhsGfeHZ86/sXVm88Cvr3+eefHMxtHngNigyQ9x/1M+3tD3l9jkEed95xhwoujqpRLcXv7tan/3mnL6n13Wd+TXtq+mRgMLkTE7zP6vFzkz0YAAABYJNOcz7i4cytxzmncOaNlnWsB8uGVd397bGPgiIhyqRj33/6bOYwImLdCoXCv3W5fGHS5lVkMBgAA4KSp1upxcedWvLR9M15597ex9Y8Pot5oRjsiGs3WxMGniIj37zyOaq0++WABWDr9OkXkQVrwKSJm+tm2uV6J29uvxa/eeCUiIq5cvx8Xd24txOfr5nolrl0+H5Vvd9osDLj8tL83dN9+IQ6L6Arf0F/nPefv33glSsXVsX7HC6eLx66b9651HZ1FM53zos4OxNN4b8r759640nZTzqrLXpbPEQAAACyS7lpvVnPG05zPeJKy2U7a8UHM/wJZKqQUtdKOA3ScmvcAAAAAFlG/3bB7d8JK2rFmGtpxOClukhmAXtMudM7SrD/bej+3Owu9IyL3n7Gb65Uj3z/evH4/9bLtiHjnN4+mep+6bx8YXufvptMFqhCR2N2nV6m4Gm//5OVn1120zjz9FvRMOv5Zf+7NqjvSpXNn4v07j4+8PrIMu2X5HAEAAMC0ZH1ePqs542nOZ5wtlxI7P02ygYr5XyArjafJa2jSjgN0CD8BAACMaNCEd9KCsawkTWIDQBaFzmkql4qp4eBZB7SWZaF35ztIv+8GjWYrqrX6Qt0vWFa94cXOgp3y6WK02xF/bLaO/HfvQp5F/DvOIqDUeezSwmNZfO7NagFUtVaPD+/Vj9y3QkS8/mp2C48WOTwNAADAyTCL8/JZzRlPcx5/a2PtyOMSsTjdwoGTJ+91TCC/hJ8AAAAS9NsxbNCE9zQXhq0UIr7psw184duxLuLiRwCyk/dC5zs/fTm1S9GsCxvLtNB7a2Mttn79IFp9vjwsWqgLToJZ76I7q65FvaZd0O5d7NQrq8+9WS2ASrqddkR8/MlnU7uNXhYdAAAAMKpZzzPM4rx8VnPG05zH765jL1q3cODkyXsdE8gv4ScAAIAeg3YMGzThnbZgrFtxpRDfe+5UNJ4e7uJ+6dyZ+PiTz1Ino39efRjv3Xl87Pe0wyJmAI5bhELn6eJKPG19c+TYPAobaZ/bz5eKMx3HNHSe36s3/imaPY9tR1ahrnmFKaCb1+Fgs+palCSpoF1cKcTTr76Ol7Zvjvyc9eu4W8nw+Z/VAqh5hHMtOgAAAGAU85hnmMX58qw2B5n2PP6sN9gBGNfmeiXufvp5/MPv/hAH7XasFgqZdrwHlofwEwAAcOIMWhQ5aMewQRPeaYv6usNOo05c/3LzfGL4KWIxO1MAkL28Fjq/K4gfDee8cLoYb//k5ZmPOa1b0pdffb2Q3RU7z/v/8u//87FwWUQ2oa55himgw+twOLPqWpSkd0HP86VifPnV1/HF01ZEjPacVWv11A0nChFxe/u16Q28x6wWQM2yC1P3OfLzpWI8V1wZ+9wVAACA/Mlqw5h5zDPM4nx5lpuD5HUeHyBL1Vo9PrxXj4P2YW3uoN2OD+/V48IPv+89EehL+AkAADhRhlkUOWjHsEET3ll126jMcPEbAGQlrVPH6T87NZeCxuZ6Jd796NGzxfcdrYP2QndX/PPiamL4qVCY/m3NM0wBHV6Hw5lHN6Fu3Qt6Lu7cikbz6Htvs3UQb33wIK5cv3/sPKqzUKveaEa/t7Ksz49mtQBqVrfTe47caLaiVFyNX73xir8dAABgpkYN6Ixy+WEuO+zvyyJIlGU36yw3jFnWrsVZ1XoBOGQ+HxiX8BMAAJCZLCfqxzXMJMqgHcOGmfDOYpeupM4UxZVCJruMAUBW5r3wPkmjJ/jUscjdFdPuU9rxSeTxOeXk8Tocziy7CQ2S9tx0dvusN5rx5vX78X/c+KeIiCOBznbiNbPbhbnbrBZAdX7fO7959Cwk9lxxZaq3EWGhAQAAkGySGt841x01oDPK5Ye57LC/L4sgUdbdrLM875vHPMMsz8udFwNkw3w+MC7hJwAA4JhphJaymvyfdFzDTKIMs2PY3Ca8e7c4z6B7AwBkKU8L7zueLxWPdR/pHF9Us3yc8/iccvJ4HQ5nVt2EhpH2nPVK6mKX5trl8zM5T5vl+eCfvv7u/n/xtDW1BXDdnbSSWGgAAADzN69NBiep8Y173VEDOqNcfpjLDvv7sggSZb0pRZYLzOc1zyCYBLDYzOcD45r+FnEAAMDYqrV6XNy5FS9t34yLO7eiWqvPZQxXbzyMeqMZ7fiuKDHqWPpN1M9zXGmTJd3HN9crce3y+aiUS1GIiEq5NLNFdP3s7u1H6+DoHuetg/bYjykAyy8P3y16bW2sRam4euTYvBbedxRSwsRpxxfBpXNnRjo+iaTntJDRbUGaPL635FGeznWSnrNJVMqluZ+zTdu0z6s7us+v01hoAAAA8zWtutg4JjkXGfe6owZ0Rjk+zGWH/X1ZBImy7n4xTG10XHmaZwBgcZjPB8al8xMAAOREFp2SxjGt3cWmPVE/rXENuwNZHncM0/obgFHk5btFr831Stz99PP4h9/9IQ7a7VgtFOL1V+f7udt4erzrU7/ji+DjTz4b6fgkOs/p+3ceRyem3Y6ID+/V48IPv5+771Qsp+6dmme9I/aiycu5Tu9ztlIoxEG7PeBayZa1MJ52rldvNOOl7Ztjvc6rtXq89cGDvo/1sj6eAAAwrHl1XOqWdTegfiapR4173VE7QIxy+WEuO+zvy6JTRdbdL7LuzpSXeQYAFof5fGBcOj8BAEBOZLWj86imFbCZ9i5i0xrXIu9AluXObAAsn7x8t+hVrdXjw3v1Z4uuD9rt+PBefa5dqZ4vFROPL+pnbLVWT+3mkVVo+uNPPoveZfR5eL1xsmyuV+L29mvx+50fx+3t1xbiO/5J1/2c/d3f/vVInaA6zfkW6ZxuVP0+hzo7v795/X6s/+K3Q32OdoLR/YJPy/x4AgCwGObdyXyeHZe6zXNDvEnqUeNed9QOEKNcfpjLDvv7suhUkXX3i0WujQIAQDednwAAICfy0tVnWruLTXsXsWnueraoO5BdOnfmSEeFCDtyA5AuL98tes1z19ok1Vo9vvzq62PHiyuFhfyM7SzQSZNVoCuvrzdgcXQ+A975zaNoNPt33nvhdDHe/snLC3leN4qk8+okXzxtxZXr9+PN6/ejXCpGoXDYvfD5b//7i6etWB2is1alXIrb269N8y4AAHDCjdpBKQ+dzPMyd5V1N6B+JqnxjXvdUTtAjHL5YS477O/LolPFLLpfLGptFIDllIfvfMBiEn4CAICcmGcRo9u0QkvTnqifdphq0XS6ZHQvVStExOuvKlYAkCwv3y165S0ks7u3H62D44vBv/fcqYX8jE1aoNOR5XentNdbWlctgCSdxVjdCySf7wrzZLEALM96z6v7RZc6P+sOjnX/96Dg00k6vwYAYHyjhJnGWdSah+BRXuau5lkXm6TGN+l1R3meR7n8MJcd9vdlESQSTgLgJMnDdz5gMQk/AQBATuQl3DPN0NI0J+pnsetZniVN/rQj4uNPPpvPgADIvbx8t+iVt1BW2sKVL5727zqSV/0W4ly7fD6z705bG2ux9esH0frm6OL6L7/6Oqq1+on5zgZMh0Vf3+l+LC7u3Er8DJ3UaqGQ6WcEAAD5lHVXpnEWteYheJSXuat518UmOS9zTgcA9JOH73zAYhJ+AgBg6YxarMmLeRcxeseSx8csr+OaBZM/AIwqT98tuiWFsiIivvzTfEIyaQtaChELGdpJuz+VcinT+7K5Xol3P3p0LDTWOmjbqQ9gStI+QydRKq4KPgEALKBhamH9LjOLrkzj1DXyEDzK04ZCJ7kuBgAsrzx85wMWk/ATAABLZZxiTZ4oYpDG5A8A48jjd4vOeHqDMo1may7f27Y21uLK9fvR7jnejljI0M48F+g0UrplCWsDTEfnM+md3zyKRnPyDoWVnASjAQA4alCwaZha2KDLzKIr0zh1jTwEj/K6oRAAwLLIw3c+YDGtzHsAAABMplqrx8WdW/HS9s24uHMrqrX6vIc0V/2KNbDItjbWolRcPXLM5A8Ai2pzvRKn/+z4vkzz+N62uV45FnzqWJTQTvc5we7efrz+aiUq5VIU4nBh+6w6eqQtXhLWBpiezfVK3H/7b+Lv33glKt++vxZG/B2l4mr8/RuvxO3t1yzgBGAq1ClgejqhpXqjGe34LrTU/Xc1TC1s0GXG7co0yvFx6hqb65W4dvn8XOY1esdxe/u1+P3Oj31vBgCYss31Srz+aiVWC4czm6uFQrz+av42dATyR+cnAIAFNs8uR4N2nZuXcYo1sAjsNAjAssnL97ZqrR6FiMQA1LihnVl+V046J/jwXn0uC4MunTsT7915nHgcZimv56swTd3dHbtf88+XilEoHHbj6/z3F09bsVooxEG7rdsTAFM3bp3CdzaW2SSv72E6Mg0zpzLoMrPoyjRuXSOPncwBAJieaq0eH96rx0H7sDp30G7Hh/fqceGH3/c9EOhL+AkAYAayKuINUwDJYjzzDF0NMk6xBhaFgh8AyyQv39t29/YTg0+FiLE6LM76u/K45wRZ+I8P/mvq8V9unp/pWDi58ny+CllxrgjAPI1zTuI7G4tg3FrapK/vYYJNw8ypDLrMqEGm7vGP8rj4rgoAQK881baAxbIy7wEAACy7TpGj3mhGO74rclRr9Yl/9zi75U9jPP1OQudta2MtSsXVI8cGFWsAAJi9pO9thTj8fnpx59ZUvi8PI2khUMRhJ6hxCizvfvRopt+V89JBKyKi0WyNdByykOfzVQCAZTTOOYnvbOTdJLW0SV/faZvCdB8fphY26DKb65W4dvl8VMqlKEREpVwaqov05nolbm+/Fr/f+XHc3n7N4lQAAEaWp9oWsFh0fgIAGMIknZKy3K1inN3ypzGePJ+EjrPrHAAAs9f9va3eaEYh4lkHplnt+l2t1Y/cbrfKGB2oqrV6fPE0OeiT1XflvHTQgrzI8/kqAMAyGuecxHc2ZmXc+t4ktbRJX9/DdGQaphY27GXUzwAAmDW1LWBcwk8AAAN0dnfrFBlGXYiZZRFvmAJIFuPJ+0moYg0AwGLofG+7uHPr2PfLaW0Y0M/u3n5i8KkQMVbn0Hc/epT6s3G+Kw+zSGuccwJYZnk/XwUAWDbjnJNk+Z1tks3syKdxn9NJ6nuT1NImfX0Pu8nfMLUw9TIAAPJIbQsYl/ATALB0pl3YmrRTUpZFvHG6HE1jPE5CAQAWS94Xf8161+/O45H0vTjisBPUOI9PWteniIhL586M9LuGXaSVl86n1Vp9prcHaZyvAgDM1jjnJFl9Z5t0MzuGM0kYadTrTfKcTlLfm6SWNo3Xt9ASAADLLC+1LWDxCD8BAEsli8LWpAsxs154NWoBZFpFlwgnoQAAi2ARFn+lLSpqR8TFnVtT/a7Z+3gkqWTQIea9O48jIuLCD79/5Hv0pXNn4uNPPjv2vXqURVrzXhRVrdVj6x8fzO32oZvzVQCA2Rv1nCSr72yTbmaXJu8biszSuHMM415vkud0kvreJLU05yQAADDYvGtbwGISfgIAcmeSIlIWha1JOyXlrcgxrfE4CYV0iuEA5ElWi7+mKWlRUcekYa3ez+Uv//R13+BTlh1i3rvz+FkIKuLwvvX+f+e+zrob1iR29/ajddCe9zDgGeerAAD5l8V3tizOo+a9oUje5prHnWMY93qTPKeT1PcmraU5JwEAAIDpE34CAHJl0iJSFoWtaXVKylORI2/jgWUy72I4APRahBBN96KipIVJzdZBvPvRo4GLjnoXhV06dyY+vFc/8rncT2XChWTlUjEazdZY1+3oLP6adBOGWRr0WnrhdHFGIwEAAMaRt4DNuLI4j5rnhiJ5nGsed45h3OtN8pxOWt9TSwMAAIB8WZn3AACAfKrW6nFx51a8tH0zLu7cimqtPtXLp+lXRBpGWrFjksLW5nolrl0+H5VyKQpxuCDy2uXzCh5AoknfxwBg2rL4jpyFzfVK3N5+LQopP//iaSvqjWa043DB15Xr9+PF7Zux/ovfxivv/jZe3L4ZV67fP3KZ9+887tvlqVulXIrb269N9D3/nZ++PPZ1uz1pNGNrYy1KxdUjx7PsSjWJQa+lt38ynccFAACYvk7Apvtc6uqNh2PXeeYpi/OoeW4okse55nHnGMa93iTPqfoeAAAALBednwBgyY2zW9+oO8lNc+e5SYtI0+jSlMTubsCwFqG7BgAnS1bfkbOStqtzr/a3/37xtHXsWNr/p5nW47G5Xom7n34e7915PNHvOVsuHemGlffd17c21mLrHx9E6+D4I/6zH/0gl2MGAAAOzbOz0bRlcR41z668eZxrHneOYdzrTfqcqu8BAADA8hB+AoAlNm4oadRC1zQLY5MWkRZpgSCwnOZZDAeAJIv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"text/plain": [
"<Figure size 4320x1800 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import struct\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# directly using Julia's method with changing the result to int first \n",
"# also had to add some changes to process other formats than float (for colors etc.)\n",
"def unpack_struct(string, fmt, size):\n",
" return struct.unpack('{num}{format}'.format(num=int(len(string)/size), format=fmt), string)\n",
"\n",
"drawings = plist['$objects'][8]\n",
"points = unpack_struct(drawings['curvespoints'], 'f', 4)\n",
"\n",
"# let's see a scatterplot of the points\n",
"xs = points[0::2]\n",
"ys = points[1::2]\n",
"\n",
"plt.figure(figsize=(60,25))\n",
"plt.ylim(max(ys), min(ys))\n",
"plt.scatter(xs, ys)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Yay! This looks like my drawing.\n",
"\n",
"Now I just need to connect the curves, but how do I know when a shape ends? Maybe some value goes to 0? Let's check the x values for the points."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[x for x in xs if x <= 0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Hmm, it doesn't seem like it. Let's draw a shape by manually adjusting the range and see where it ends."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(64.0300064086914, 121.70161437988281, 123.13665771484375, 124.48757934570312, 126.95639038085938) (74.58029174804688, 46.82347106933594, 46.80168151855469, 46.90596008300781, 46.85621643066406)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# after a few manual adjustments, this seems to be the shape\n",
"xs2 = xs[0:5036]\n",
"ys2 = ys[0:5036]\n",
"\n",
"plt.ylim(max(ys2), min(ys2))\n",
"plt.scatter(xs2, ys2)\n",
"\n",
"# let's like at what's next to the end of the shape\n",
"x0 = xs[5035:5040]\n",
"y0 = ys[5035:5040]\n",
"\n",
"print(x0, y0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Okay, let's look at some other keys in `$objects`. The `curvesnumpoints` seems like it can have some information on the number of points in each curve."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(40, 85, 7, 4, 4, 16, 430, 1066, 379, 2713)"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"num_points = unpack_struct(drawings['curvesnumpoints'], 'i', 4)\n",
"num_points[0:10]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's draw a curve! It looks like the second curve starts at 40 and ends at 125 (40 + 85)."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x114811b00>]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"x1 = xs[40:125]\n",
"y1 = ys[40:125]\n",
"\n",
"plt.ylim(max(y1), min(y1))\n",
"plt.plot(x1, y1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Awesome! Looking at the keys in `$objects`, the useful ones seem to be:\n",
"- `curvespoints` - the coordinates for each point\n",
"- `curvesnumpoints` - the lengths for curves (described as the number of points in a curve)\n",
"- `curveswidth` - the widths of curves\n",
"- `curvescolors` - the colors of curves, in rgba\n",
"\n",
"With all that, I should be able to recreate the drawing."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Putting it all together\n",
"\n",
"To recreate the original drawing, for every element in `curvespoints` I need to:\n",
"- take the number of points in `curvesnumpoints`\n",
"- draw a line through them with the color specified in `curvescolors` and a width from `cruveswidth`"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 4320x1800 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(60,25))\n",
"plt.ylim(max(ys), min(ys))\n",
"plt.xlim(min(xs), max(xs))\n",
"\n",
"current_x = 0\n",
"current_y = 0\n",
"\n",
"points = unpack_struct(drawings['curvespoints'], 'f', 4)\n",
"num_points = unpack_struct(drawings['curvesnumpoints'], 'i', 4)\n",
"widths = unpack_struct(drawings['curveswidth'], 'f', 4)\n",
"colors = unpack_struct(drawings['curvescolors'], 'B', 1)\n",
"\n",
"# matplotlib uses fractions, so let's rerange colors\n",
"colors_reranged = [x / 255 for x in colors]\n",
"colors_list = [colors_reranged[i:i+4] for i in range(0, len(colors), 4)]\n",
"\n",
"type(list(num_points))\n",
"for i, curve in enumerate(num_points):\n",
" max_x = current_x + curve\n",
" max_y = current_y + curve\n",
" plt.plot(xs[current_x:max_x], ys[current_y:max_y], color=colors_list[i], linewidth=10*widths[i])\n",
" current_x = max_x\n",
" current_y = max_y"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I wrote a short script for retrieving drawings from Notability, you can grab it [from this gist](https://gist.github.com/trueskawka/7ff89ff12e6529e6cca65015956eaf6e). It also has a copy of a Jupyter notebook I wrote this post in."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
import biplist
import struct
import matplotlib.pyplot as plt
import argparse
parser = argparse.ArgumentParser(description='Convert Notability files to SVG and PNG. Unzip the Notability file first.\n After running the script, images will be in the same directory as the .note file.')
parser.add_argument('filepath', type=str, nargs=1, help='a path to the unzipped Notability directory')
parser.add_argument('size', type=int, nargs=2, help='width and height of the resulting SVG and PNG')
args = parser.parse_args()
note_name = args.filepath[0]
note = note_name + '/Session.plist'
try:
plist = biplist.readPlist(note)
except e:
print('Not a readable plist: ', e)
def unpack_struct(string, fmt, size):
return struct.unpack('{num}{format}'.format(num=int(len(string)/size), format=fmt), string)
drawings = plist['$objects'][8]
points = unpack_struct(drawings['curvespoints'], 'f', 4)
xs = points[0::2]
ys = points[1::2]
widths = unpack_struct(drawings['curveswidth'], 'f', 4)
colors = unpack_struct(drawings['curvescolors'], 'B', 1)
colors = [x / 255 for x in colors]
colors_list = [colors[i:i+4] for i in range(0, len(colors), 4)]
num_points = unpack_struct(drawings['curvesnumpoints'], 'i', 4)
x_size, y_size = args.size
plotty = plt.figure(figsize=(x_size, y_size))
plt.ylim(max(ys), min(ys))
plt.xlim(min(xs), max(xs))
plt.axis('off')
current_x = 0
current_y = 0
type(list(num_points))
for i, curve in enumerate(num_points):
max_x = current_x + curve
max_y = current_y + curve
plt.plot(xs[current_x:max_x], ys[current_y:max_y], color=colors_list[i], linewidth=(x_size/5)*widths[i])
current_x = max_x
current_y = max_y
plotty.savefig(note_name + '.png', transparent=True, bbox_inches=0)
plotty.savefig(note_name + '.svg', transparent=True, bbox_inches=0)
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