{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Accessing Rows and Columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Columns are accessed by the column name:\n",
    "```python\n",
    "    table.columns[column_name]\n",
    "```\n",
    "\n",
    "Rows are ordered by their integer location (iloc) within the DataFrame and can be accessed by that index:\n",
    "```python\n",
    "    table.rows[idx]\n",
    "```\n",
    "\n",
    "the column label row can be accessed by the `col_label_row` attribute:\n",
    "```python\n",
    "    table.col_label_row\n",
    "```\n",
    "\n",
    "\n",
    "After creating a table, you can set cell (rectangle patch) properties and textproperties by accessing functions of the Sequence, ie:\n",
    "\n",
    "```python\n",
    "    table.columns[column_name].set_facecolor(\"#f0f0f0\")\n",
    "\n",
    "    table.rows[0].set_facecolor(\"#f0f0f0\")\n",
    "```\n",
    "\n",
    "Available functions are:\n",
    "```\n",
    "    # rectangle patch setters\n",
    "    set_alpha\n",
    "    set_color\n",
    "    set_edgecolor\n",
    "    set_facecolor\n",
    "    set_fill\n",
    "    set_hatch\n",
    "    set_linestyle\n",
    "    set_linewidth\n",
    "\n",
    "    # fontproperty setters\n",
    "    set_fontcolor\n",
    "    set_fontfamily\n",
    "    set_fontsize\n",
    "    set_ha\n",
    "    set_ma\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{seealso}\n",
    "You can find an example of accessing rows and columns in the [Heatmap Example](../example_notebooks/heatmap.ipynb)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.5 ('env': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3.10.5"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "fad163352f6b6c4f05b9b8d41b1f28c58b235e61ec56c8581176f01128143b49"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}