Matplotlib scatter with half circles.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-05-29T11:05:05.482446Z",
     "start_time": "2018-05-29T11:05:04.929599Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-05-29T11:05:32.519112Z",
     "start_time": "2018-05-29T11:05:32.512087Z"
    }
   },
   "outputs": [],
   "source": [
    "random = np.random.RandomState(1)\n",
    "\n",
    "left = random.randn(2, 10)\n",
    "right = random.randn(2, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-05-29T11:07:37.793183Z",
     "start_time": "2018-05-29T11:07:37.511460Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1133b8c88>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vAZjZlHydR+dyAFixDQ3V1j5S3pWUmq/z6EwOACuuoaHaWmd0NO9KDF/n0YkcAFZcAwO1tY4Vhq/z6CwOACsur20Kx9d5dBYHgBWX1zaF4us8Oo8DwIpr06baWsdy5+s8OlOqAJD0CUmvSfqNpMoU7dZIekPSfkn3pOnTSqSvr7bW6enJu5JSi4CREa/8O1HaLYBXgVuA5xo1kDQPeBhYC6wANkpakbJfK4u+vtrax1cFmWUu7ZzAewE09Tnaq4D9EXEgafs4sAHwxPBmZjlqxTGA84A3Jz0eS54zM7McTbsFIGkncE6dlwYi4omsC5LUD/QDXOCzQMzMmmbaAIiIG1P2cRA4f9Lj7uS5Rv0NAoMAlUrFO37NzJqkFbuAXgIukrRM0unAbcC2pvXmsWPMzGYk7WmgH5c0BlwNfEfS08nzH5I0DBARJ4C7gaeBvcA3IuK1dGU34LFjrKA8oqYVkaLAp9dVKpWoVqsz/4Pe3veu/Av82axcJjZIFyzwBVXWXJJ2RUTD67Im66wrgT12jBWcR9S0IumsAPBZQ9YG/DvFiqKzAsBjx1gb8O8UK4rOCgCPHWMF5xE1rUg6KwDAY8dYYXlETSuaVGMBmdnM+PeIFVHnbQGYmdmMOADMzErKAWBmVlIOADOzknIAmJmVlAPAzKykHABmZiXlADAzKykHgJlZSTkAzMxKygFgZlZSaaeE/ISk1yT9RlLDGWgkjUh6RdJuSbOY4svMzJol7WBwrwK3AH89g7YfiYi3U/ZnZmYZSRUAEbEXQBMTnpqZWdto1TGAALZL2iWpv0V9mpnZFKbdApC0EzinzksDEfHEDPu5NiIOSvodYIekn0TEcw366wf6AS7w3HlmZk0zbQBExI1pO4mIg8m/hyRtBVYBdQMgIgaBQYBKpeJpNMzMmqTpu4AknSlp0cR94CZqB4/NzCxHaU8D/bikMeBq4DuSnk6e/5Ck4aTZ2cA/StoDvAh8JyK+l6ZfMzNLL+1ZQFuBrXWe/1dgXXL/APAHafoxM7Ps+UpgM7OScgCYmZWUA8DMrKQcAGZmJeUAMDMrKQeAmVlJOQDMzErKAWBmVlIOADOzknIAmJmVlAPAzKykHABmZiXlADAzKykHgJlZSTkAzMxKygFgZlZSDgAzs5JKOyXk/ZJ+IullSVslvb9BuzWS3pC0X9I9afo0M7NspN0C2AFcEhGXAf8CfP7kBpLmAQ8Da4EVwEZJK1L2a2ZmKaUKgIjYHhEnkocvAN11mq0C9kfEgYg4DjwObEjTr5mZpZflMYBPAd+t8/x5wJuTHo8lz5mZWY6mDQBJOyW9Wue2YVKbAeAEMJS2IEn9kqqSqocPH077dlYmQ0PQ2wtS3pWYtYXTpmsQETdO9bqkO4GPATdERNRpchA4f9Lj7uS5Rv0NAoMAlUql3vuZnWpoCPr7YXw870rM2kbas4DWAH8GrI+IRv/zXgIukrRM0unAbcC2NP2anWJgwCt/s1lKewzgIWARsEPSbkmbASR9SNIwQHKQ+G7gaWAv8I2IeC1lv2bv9bOf5V2BWduZdhfQVCLidxs8/6/AukmPh4HhNH2ZTemCC2B0NO8qzNqKrwS2zrBpEyxYkHcVZm3FAWCdoa8PBgehpyfvSszahgPAOkdfH4yMQN2T0czsZA4AM7OScgCYmZWUA8DMrKQcAGZmJeUAMDMrKQeAmVlJqf74bcUg6TDwf4G3867lJEsoXk1QzLqKWBMUs64i1gTFrKuINUEx6uqJiKUzaVjoAACQVI2ISt51TFbEmqCYdRWxJihmXUWsCYpZVxFrguLW1Yh3AZmZlZQDwMyspNohAAbzLqCOItYExayriDVBMesqYk1QzLqKWBMUt666Cn8MwMzMmqMdtgDMzKwJChUAku6X9BNJL0vaKun9DdqNSHolmYWsWqC61kh6Q9J+Sfe0oK5PSHpN0m8kNTzzoJXLaxY1tXpZfVDSDkn7kn8/0KDdfyTLabekpkxdOt1nl3SGpC3J6z+W1NuMOmZZ052SDk9aNp9pQU2PSjok6dUGr0vSg0nNL0u6otk1zbCu6yW9M2lZ3duKuuYkIgpzA24CTkvufxn4coN2I8CSItUFzAN+ClwInA7sAVY0ua6LgeXAs0BlinYtW14zqSmnZfU/gXuS+/dM8d062uQ6pv3swH8BNif3bwO2FKCmO4GHWvEdmtTndcAVwKsNXl8HfBcQsBr4cUHquh54qpXLaq63Qm0BRMT2qM0hDPAC0J1nPRNmWNcqYH9EHIiI48DjwIYm17U3It5oZh+zNcOaWr6skvd/LLn/GPDHTe6vkZl89sm1fgu4QZJyrqnlIuI54BdTNNkA/F3UvAC8X9K5BairbRQqAE7yKWrpXk8A2yXtktTfwpqgcV3nAW9OejyWPFcEeS6vevJYVmdHxFvJ/X8Dzm7QrktSVdILkpoREjP57L9tk/zweAdY3IRaZlMTwJ8ku1q+Jen8JtYzU0X+P3e1pD2Svivp9/MuppFUk8LPhaSdwDl1XhqIiCeSNgPACWCowdtcGxEHJf0OsEPST5JUzruuzM2krhnIdHllVFPmpqpr8oOICEmNTn/rSZbVhcAPJL0SET/NutY29CTw9Yj4taTPUttC+aOcayqqf6b2PToqaR3wD8BFOddUV8sDICJunOp1SXcCHwNuiGSHWp33OJj8e0jSVmqbsKkCIIO6DgKTfxV1J8+lMl1dM3yPTJdXBjW1fFlJ+rmkcyPirWQ3waEG7zGxrA5Ieha4nNr+8azM5LNPtBmTdBpwFnAkwxpmXVNETO7/EWrHVPLWlO9RWhHx75PuD0v6qqQlEZH3GEGnKNQuIElrgD8D1kfEeIM2Z0paNHGf2gHaukfjW1kX8BJwkaRlkk6ndvCuKWeRzEYey2sG8lhW24A7kvt3AKdsqUj6gKQzkvtLgGuA1zOuYyaffXKttwI/aPRjqFU1nbRvfT2wt4n1zNQ24PbkbKDVwDuTdvPlRtI5E8dsJK2itp5tZoDPXd5HoSffgP3U9untTm4TZ0J8CBhO7l9I7SyFPcBr1HY75F5X8ngd8C/UfjG2oq6PU9vv+Wvg58DTeS+vmdSU07JaDHwf2AfsBD6YPF8BHknu/yHwSrKsXgE+3aRaTvnswH3UfmAAdAHfTL53LwIXtmD5TFfT/0i+P3uAZ4Dfa0FNXwfeAt5NvlOfBu4C7kpeF/BwUvMrTHEmXIvrunvSsnoB+MNW1DWXm68ENjMrqULtAjIzs9ZxAJiZlZQDwMyspBwAZmYl5QAwMyspB4CZWUk5AMzMSsoBYGZWUv8fgrV7eYKgL/4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.markers import MarkerStyle\n",
    "\n",
    "plt.scatter(left[0], left[1], \n",
    "            marker=MarkerStyle('o', fillstyle='left'),\n",
    "            color='red', label='left')\n",
    "plt.scatter(right[0], right[1], \n",
    "            marker=MarkerStyle('o', fillstyle='right'),\n",
    "            color='blue', label='right')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "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": "3.6.4"
  },
  "latex_envs": {
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 0
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}