{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotly 简介\n",
    "\n",
    "[`plotly.py`](https://github.com/plotly/plotly.py) 库（可参考[简单的中文文档](https://daobook.github.io/plotly-book/tutorial/index.html)）是交互式的、开源的绘图库，它支持超过 40 种独特的图表类型，涵盖了广泛的统计、金融、地理、科学和三维用例。\n",
    "\n",
    "基于 Plotly JavaScript 库([plotly.js](https://plotly.com/javascript/))，Plotly 允许 Python 用户创建漂亮的基于 web 的交互式可视化，可以在 Jupyter 笔记本中显示，保存为独立的 HTML 文件，或使用 Dash 作为纯 Python 构建的 web 应用程序的一部分。plotly Python 库有时被称为 plotly.py，以区别于 JavaScript 库。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%mkdir build\n",
    "from plotly import graph_objects as go\n",
    "\n",
    "fig = go.Figure(data=go.Bar(y=[2, 3, 1]))\n",
    "# 保存到 HTML 文件\n",
    "fig.write_html('build/first_figure.html', auto_open=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以直接用于 `go.FigureWidget`："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from plotly import graph_objects as go\n",
    "\n",
    "fig = go.FigureWidget(data=go.Bar(y=[2, 3, 1]))\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "也可以直接显示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from plotly import graph_objects as go\n",
    "\n",
    "fig = go.Figure(data=go.Bar(y=[2, 3, 1]))\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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