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diff --git a/docs/_sources/第二回：艺术画笔见乾坤/index.md.txt b/docs/_sources/第二回：艺术画笔见乾坤/index.md.txt
index 086486c..791dc73 100644
--- a/docs/_sources/第二回：艺术画笔见乾坤/index.md.txt
+++ b/docs/_sources/第二回：艺术画笔见乾坤/index.md.txt
@@ -207,7 +207,7 @@ fig = plt.figure()
 x = np.arange(10)
 y = 2.5 * np.sin(x / 20 * np.pi)
 yerr = np.linspace(0.05, 0.2, 10)
-plt.errorbar(x, y + 3, yerr=yerr, label='both limits (default)');
+plt.errorbar(x,y+3,yerr=yerr,fmt='o-',ecolor='r',elinewidth=2);
 ```
 
 
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diff --git a/docs/第二回：艺术画笔见乾坤/index.html b/docs/第二回：艺术画笔见乾坤/index.html
index 81190dd..feb11e8 100644
--- a/docs/第二回：艺术画笔见乾坤/index.html
+++ b/docs/第二回：艺术画笔见乾坤/index.html
@@ -490,7 +490,7 @@
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D object at 0x000001EBFE710A90&gt;, &lt;matplotlib.lines.Line2D object at 0x000001EBFE710E20&gt;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D object at 0x00000298AE900A30&gt;, &lt;matplotlib.lines.Line2D object at 0x00000298AE900DC0&gt;]
 </pre></div>
 </div>
 <img alt="../_images/index_6_1.png" src="../_images/index_6_1.png" />
@@ -540,7 +540,7 @@ pyplot里有个专门绘制误差线的功能，通过<code class="docutils lite
 <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
 <span class="n">y</span> <span class="o">=</span> <span class="mf">2.5</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">x</span> <span class="o">/</span> <span class="mi">20</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">)</span>
 <span class="n">yerr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mf">0.05</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">errorbar</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">+</span> <span class="mi">3</span><span class="p">,</span> <span class="n">yerr</span><span class="o">=</span><span class="n">yerr</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;both limits (default)&#39;</span><span class="p">);</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">errorbar</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="o">+</span><span class="mi">3</span><span class="p">,</span><span class="n">yerr</span><span class="o">=</span><span class="n">yerr</span><span class="p">,</span><span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;o-&#39;</span><span class="p">,</span><span class="n">ecolor</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">,</span><span class="n">elinewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">);</span>
 </pre></div>
 </div>
 </div>
diff --git a/notebook/.ipynb_checkpoints/第三回：布局格式定方圆-checkpoint.ipynb b/notebook/.ipynb_checkpoints/第三回：布局格式定方圆-checkpoint.ipynb
deleted file mode 100644
index 0ed9fd8..0000000
--- a/notebook/.ipynb_checkpoints/第三回：布局格式定方圆-checkpoint.ipynb
+++ /dev/null
@@ -1,572 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 第三回：布局格式定方圆"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T10:58:25.798702Z",
-     "start_time": "2020-11-01T10:58:25.319113Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "plt.rcParams['font.sans-serif'] = ['SimHei']   #用来正常显示中文标签\n",
-    "plt.rcParams['axes.unicode_minus'] = False   #用来正常显示负号"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 一、子图\n",
-    "\n",
-    "### 1. 使用 `plt.subplots` 绘制均匀状态下的子图\n",
-    "\n",
-    "返回元素分别是画布和子图构成的列表，第一个数字为行，第二个为列，不传入时默认值都为1\n",
-    "\n",
-    "`figsize` 参数可以指定整个画布的大小\n",
-    "\n",
-    "`sharex` 和 `sharey` 分别表示是否共享横轴和纵轴刻度\n",
-    "\n",
-    "`tight_layout` 函数可以调整子图的相对大小使字符不会重叠"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T10:58:26.423289Z",
-     "start_time": "2020-11-01T10:58:25.798702Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x288 with 10 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axs = plt.subplots(2, 5, figsize=(10, 4), sharex=True, sharey=True)\n",
-    "fig.suptitle('样例1', size=20)\n",
-    "for i in range(2):\n",
-    "    for j in range(5):\n",
-    "        axs[i][j].scatter(np.random.randn(10), np.random.randn(10))\n",
-    "        axs[i][j].set_title('第%d行，第%d列'%(i+1,j+1))\n",
-    "        axs[i][j].set_xlim(-5,5)\n",
-    "        axs[i][j].set_ylim(-5,5)\n",
-    "        if i==1: axs[i][j].set_xlabel('横坐标')\n",
-    "        if j==0: axs[i][j].set_ylabel('纵坐标')\n",
-    "fig.tight_layout()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "`subplots`是基于OO模式的写法，显式创建一个或多个axes对象，然后在对应的子图对象上进行绘图操作。  \n",
-    "还有种方式是使用`subplot`这样基于pyplot模式的写法，每次在指定位置新建一个子图，并且之后的绘图操作都会指向当前子图，本质上`subplot`也是`Figure.add_subplot`的一种封装。"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "在调用`subplot`时一般需要传入三位数字，分别代表总行数，总列数，当前子图的index"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure()\n",
-    "# 子图1\n",
-    "plt.subplot(2,2,1) \n",
-    "plt.plot([1,2], 'r')\n",
-    "# 子图2\n",
-    "plt.subplot(2,2,2)\n",
-    "plt.plot([1,2], 'b')\n",
-    "#子图3\n",
-    "plt.subplot(224)  # 当三位数都小于10时，可以省略中间的逗号，这行命令等价于plt.subplot(2,2,4) \n",
-    "plt.plot([1,2], 'g');"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "除了常规的直角坐标系，也可以通过`projection`方法创建极坐标系下的图表"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "N = 150\n",
-    "r = 2 * np.random.rand(N)\n",
-    "theta = 2 * np.pi * np.random.rand(N)\n",
-    "area = 200 * r**2\n",
-    "colors = theta\n",
-    "\n",
-    "\n",
-    "plt.subplot(projection='polar')\n",
-    "plt.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "> 练一练  \n",
-    "\n",
-    "请思考如何用极坐标系画出类似的玫瑰图\n",
-    "<img src=\"http://www.hinews.cn/news/pic/003/205/569/00320556959_f01764d0.jpg\" width=\"300\" align=\"bottom\" />\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 2. 使用 `GridSpec` 绘制非均匀子图\n",
-    "\n",
-    "所谓非均匀包含两层含义，第一是指图的比例大小不同但没有跨行或跨列，第二是指图为跨列或跨行状态\n",
-    "\n",
-    "利用 `add_gridspec` 可以指定相对宽度比例 `width_ratios` 和相对高度比例参数 `height_ratios`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T10:58:27.018425Z",
-     "start_time": "2020-11-01T10:58:26.425522Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x288 with 10 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(figsize=(10, 4))\n",
-    "spec = fig.add_gridspec(nrows=2, ncols=5, width_ratios=[1,2,3,4,5], height_ratios=[1,3])\n",
-    "fig.suptitle('样例2', size=20)\n",
-    "for i in range(2):\n",
-    "    for j in range(5):\n",
-    "        ax = fig.add_subplot(spec[i, j])\n",
-    "        ax.scatter(np.random.randn(10), np.random.randn(10))\n",
-    "        ax.set_title('第%d行，第%d列'%(i+1,j+1))\n",
-    "        if i==1: ax.set_xlabel('横坐标')\n",
-    "        if j==0: ax.set_ylabel('纵坐标')\n",
-    "fig.tight_layout()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "在上面的例子中出现了 `spec[i, j]` 的用法，事实上通过切片就可以实现子图的合并而达到跨图的共能"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T10:58:27.397245Z",
-     "start_time": "2020-11-01T10:58:27.020418Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x288 with 5 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(figsize=(10, 4))\n",
-    "spec = fig.add_gridspec(nrows=2, ncols=6, width_ratios=[2,2.5,3,1,1.5,2], height_ratios=[1,2])\n",
-    "fig.suptitle('样例3', size=20)\n",
-    "# sub1\n",
-    "ax = fig.add_subplot(spec[0, :3])\n",
-    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
-    "# sub2\n",
-    "ax = fig.add_subplot(spec[0, 3:5])\n",
-    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
-    "# sub3\n",
-    "ax = fig.add_subplot(spec[:, 5])\n",
-    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
-    "# sub4\n",
-    "ax = fig.add_subplot(spec[1, 0])\n",
-    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
-    "# sub5\n",
-    "ax = fig.add_subplot(spec[1, 1:5])\n",
-    "ax.scatter(np.random.randn(10), np.random.randn(10))\n",
-    "fig.tight_layout()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 二、子图上的方法\n",
-    "\n",
-    "补充介绍一些子图上的方法"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T09:23:21.140175Z",
-     "start_time": "2020-11-01T09:23:21.137223Z"
-    }
-   },
-   "source": [
-    "常用直线的画法为： `axhline, axvline, axline` （水平、垂直、任意方向）"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T10:58:27.686055Z",
-     "start_time": "2020-11-01T10:58:27.583390Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(4,3))\n",
-    "ax.axhline(0.5,0.2,0.8)\n",
-    "ax.axvline(0.5,0.2,0.8)\n",
-    "ax.axline([0.3,0.3],[0.7,0.7]);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "使用 `grid` 可以加灰色网格"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T10:58:27.774748Z",
-     "start_time": "2020-11-01T10:58:27.688043Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(4,3))\n",
-    "ax.grid(True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T09:35:34.166136Z",
-     "start_time": "2020-11-01T09:35:34.161109Z"
-    }
-   },
-   "source": [
-    "使用 `set_xscale` 可以设置坐标轴的规度（指对数坐标等）"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T10:58:28.239217Z",
-     "start_time": "2020-11-01T10:58:27.775747Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axs = plt.subplots(1, 2, figsize=(10, 4))\n",
-    "for j in range(2):\n",
-    "    axs[j].plot(list('abcd'), [10**i for i in range(4)])\n",
-    "    if j==0:\n",
-    "        axs[j].set_yscale('log')\n",
-    "    else:\n",
-    "        pass\n",
-    "fig.tight_layout()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 思考题\n",
-    "\n",
-    "- 墨尔本1981年至1990年的每月温度情况"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T10:58:28.482772Z",
-     "start_time": "2020-11-01T10:58:28.472757Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Time</th>\n",
-       "      <th>Temperature</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1981-01</td>\n",
-       "      <td>17.712903</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1981-02</td>\n",
-       "      <td>17.678571</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1981-03</td>\n",
-       "      <td>13.500000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1981-04</td>\n",
-       "      <td>12.356667</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1981-05</td>\n",
-       "      <td>9.490323</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Time  Temperature\n",
-       "0  1981-01    17.712903\n",
-       "1  1981-02    17.678571\n",
-       "2  1981-03    13.500000\n",
-       "3  1981-04    12.356667\n",
-       "4  1981-05     9.490323"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ex1 = pd.read_csv('data/layout_ex1.csv')\n",
-    "ex1.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-11-01T10:21:13.743892Z",
-     "start_time": "2020-11-01T10:21:13.738905Z"
-    }
-   },
-   "source": [
-    "请利用数据，画出如下的图：\n",
-    "\n",
-    "<img src=\"https://s1.ax1x.com/2020/11/01/BwvCse.png\" width=\"800\" align=\"bottom\" />"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "-  画出数据的散点图和边际分布\n",
-    "\n",
-    "用 `np.random.randn(2, 150)` 生成一组二维数据，使用两种非均匀子图的分割方法，做出该数据对应的散点图和边际分布图\n",
-    "\n",
-    "<img src=\"https://s1.ax1x.com/2020/11/01/B0pEnS.png\" width=\"400\" height=\"400\" align=\"bottom\" />"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "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": "3.9.4"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": false,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {
-    "height": "calc(100% - 180px)",
-    "left": "10px",
-    "top": "150px",
-    "width": "288.661px"
-   },
-   "toc_section_display": true,
-   "toc_window_display": true
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}