jupyterleaf.ipynb

{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "```{python}\n",
    "import plotly.io as pio\n",
    "pio.renderers.default = \"plotly_mimetype+notebook_connected\"\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.32.0.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "import plotly.io as pio\n",
    "df = px.data.iris()\n",
    "fig = px.scatter(df, x=\"sepal_width\", y=\"sepal_length\", \n",
    "                 color=\"species\", \n",
    "                 marginal_y=\"violin\", marginal_x=\"box\", \n",
    "                 trendline=\"ols\", template=\"simple_white\")\n",
    "fig.show()"
   ]
  }
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