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  1. {
  2.  "cells": [
  3.   {
  4.    "cell_type": "code",
  5.    "execution_count": 1,
  6.    "metadata": {},
  7.    "outputs": [],
  8.    "source": [
  9.     "%load_ext rpy2.ipython"
  10.    ]
  11.   },
  12.   {
  13.    "cell_type": "code",
  14.    "execution_count": 2,
  15.    "metadata": {},
  16.    "outputs": [
  17.     {
  18.      "data": {
  19.       "text/plain": [
  20.        "[1] ‘3.0.0’\n",
  21.        "[1] ‘0.2’\n"
  22.       ]
  23.      },
  24.      "metadata": {},
  25.      "output_type": "display_data"
  26.     }
  27.    ],
  28.    "source": [
  29.     "%%R\n",
  30.     "\n",
  31.     "print(packageVersion(\"ggplot2\"))\n",
  32.     "print(packageVersion(\"ggpubr\"))"
  33.    ]
  34.   },
  35.   {
  36.    "cell_type": "code",
  37.    "execution_count": 3,
  38.    "metadata": {},
  39.    "outputs": [
  40.     {
  41.      "name": "stderr",
  42.      "output_type": "stream",
  43.      "text": [
  44.       "/Users/JayWong/miniconda3/envs/cellimage/lib/python3.6/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: Loading required package: magrittr\n",
  45.       "\n",
  46.       "  warnings.warn(x, RRuntimeWarning)\n"
  47.      ]
  48.     },
  49.     {
  50.      "data": {
  51.       "image/png": 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\n"
  52.      },
  53.      "metadata": {},
  54.      "output_type": "display_data"
  55.     }
  56.    ],
  57.    "source": [
  58.     "%%R -w 20 -h 5 --units cm -r 200\n",
  59.     "\n",
  60.     "library(\"ggplot2\")\n",
  61.     "library(\"ggpubr\")\n",
  62.     "\n",
  63.     "test_df = data.frame(x=c(1,2,3), y=c(1,2,3), col=factor(c(1,1,0)))\n",
  64.     "\n",
  65.     "g1 = ggplot(test_df, aes(x=x, y=y, color=col)) + geom_point()\n",
  66.     "\n",
  67.     "ggarrange(g1, g1)"
  68.    ]
  69.   },
  70.   {
  71.    "cell_type": "code",
  72.    "execution_count": 4,
  73.    "metadata": {},
  74.    "outputs": [
  75.     {
  76.      "data": {
  77.       "image/png": 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\n"
  78.      },
  79.      "metadata": {},
  80.      "output_type": "display_data"
  81.     },
  82.     {
  83.      "data": {
  84.       "image/png": 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\n"
  85.      },
  86.      "metadata": {},
  87.      "output_type": "display_data"
  88.     }
  89.    ],
  90.    "source": [
  91.     "%%R -w 20 -h 5 --units cm -r 200\n",
  92.     "\n",
  93.     "library(\"ggplot2\")\n",
  94.     "library(\"ggpubr\")\n",
  95.     "\n",
  96.     "test_df = data.frame(x=c(1,2,3), y=c(1,2,3), col=factor(c(1,1,0)))\n",
  97.     "\n",
  98.     "g1 = ggplot(test_df, aes(x=x, y=y, color=col)) + geom_point()\n",
  99.     "\n",
  100.     "ggarrange(g1, g1, common.legend=TRUE)"
  101.    ]
  102.   }
  103.  ],
  104.  "metadata": {
  105.   "kernelspec": {
  106.    "display_name": "Python 3",
  107.    "language": "python",
  108.    "name": "python3"
  109.   },
  110.   "language_info": {
  111.    "codemirror_mode": {
  112.     "name": "ipython",
  113.     "version": 3
  114.    },
  115.    "file_extension": ".py",
  116.    "mimetype": "text/x-python",
  117.    "name": "python",
  118.    "nbconvert_exporter": "python",
  119.    "pygments_lexer": "ipython3",
  120.    "version": "3.6.8"
  121.   },
  122.   "toc": {
  123.    "nav_menu": {},
  124.    "number_sections": false,
  125.    "sideBar": true,
  126.    "skip_h1_title": true,
  127.    "title_cell": "Table of Contents",
  128.    "title_sidebar": "Contents",
  129.    "toc_cell": false,
  130.    "toc_position": {},
  131.    "toc_section_display": true,
  132.    "toc_window_display": false
  133.   }
  134.  },
  135.  "nbformat": 4,
  136.  "nbformat_minor": 2
  137. }
RAW Paste Data
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