environment.yml

name: hvplot_example
channels:
  - conda-forge
  - defaults
dependencies:
  - python=3.10
  - hvplot
  - intake
  - intake-parquet
  - intake-xarray
  - s3fs
  - datashader

hvplot_datashade_legend.ipynb

hvplot_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f5dbf693-e787-461e-8990-b5a980f3877b",
   "metadata": {},
   "source": [
    "## Example of customizing subplots with hvPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0305d30-ada1-4f5a-a382-3645f59c6e5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load hvplot and default bokeh extension\n",
    "import hvplot.pandas\n",
    "# load some sample data\n",
    "import hvplot.sample_data\n",
    "# colormaps\n",
    "import colorcet as cc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99dc368c-4266-48c5-860c-9f8b9321400e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = hvplot.sample_data.airline_flights.read()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb83d52e-695a-4765-b7c9-c5f0defff408",
   "metadata": {},
   "source": [
    "Notice how each day of the week automatically is assigned a unique color?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "41ada7de-9c3e-499e-b79c-1df387d91a73",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.hvplot.hist('arr_time',\n",
    "               by='dayofweek'\n",
    "              )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d2332dd-d396-4d26-9e7c-cb7424f4b305",
   "metadata": {},
   "source": [
    "Now when plotting each day of the week on their own, colors are gone and we're back to the default blue.\n",
    "\n",
    "Where did my colors go? How to preserve them?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8c1dd91-8f49-41ef-aa6d-50aaf037e065",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.hvplot.hist('arr_time',\n",
    "               by='dayofweek',\n",
    "               subplots=True,\n",
    "              )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "280cf4d3-c5e1-49bd-be98-b0b47b0f8977",
   "metadata": {},
   "source": [
    "It is possible to build each individual day of the week plot and color each one individually."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0efa909c-09ae-4036-a5b9-61399c43c97a",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_p = None\n",
    "for dow, c in zip(df.dayofweek.unique(), cc.b_glasbey_bw_minc_20[:len(df.dayofweek.unique())]):\n",
    "    p = df[df.dayofweek == dow].hvplot.hist('arr_time',\n",
    "                                            by='dayofweek',\n",
    "                                            color=c,\n",
    "                                            title='dayofweek: ' + str(dow)\n",
    "                                           )\n",
    "    all_p = p if all_p is None else all_p + p\n",
    "all_p.cols(2)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python [conda env:py310]",
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   "name": "conda-env-py310-py"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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