{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Sector text\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "A text can be shown in a sector by the `texts` argument.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import plotly\nimport ptvis\n\n\nelements = list(ptvis.Element) * 2\ntexts = [str(i % 10) for i in range(len(elements))]\n\nfig = plotly.graph_objects.Figure()\nptvis.attach_pie_cells(fig, elements, texts=texts)\n\nplotly.io.show(fig)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The color of texts are selected so as to be a high contrast ratio to a\nsector. Candidates for the text color can be given by the `text_colorway`\nargument.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import plotly\nimport ptvis\n\n\nelements = list(ptvis.Element) * 2\ntexts = [str(i % 10) for i in range(len(elements))]\n\nfig = plotly.graph_objects.Figure()\nptvis.attach_pie_cells(\n    fig,\n    elements,\n    texts=texts,\n    text_colorway=[\"#ff0000\", \"#ffcccc\"],\n)\n\nplotly.io.show(fig)"
      ]
    }
  ],
  "metadata": {
    "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": "3.13.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}