up

build/html/_sources/第四回：文字图例尽眉目/index.md.txt

@@ -662,4 +662,7 @@ plt.gca().add_artist(l1);
 
 
 
+## 参考资料
 
+[1.matplotlib官网文字使用指南](https://matplotlib.org/stable/tutorials/text/text_intro.html#sphx-glr-tutorials-text-text-intro-py
+)

build/html/index.html

@@ -217,6 +217,7 @@
 <li class="toctree-l2"><a class="reference internal" href="%E7%AC%AC%E5%9B%9B%E5%9B%9E%EF%BC%9A%E6%96%87%E5%AD%97%E5%9B%BE%E4%BE%8B%E5%B0%BD%E7%9C%89%E7%9B%AE/index.html#figureaxes">一、Figure和Axes上的文本</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E7%AC%AC%E5%9B%9B%E5%9B%9E%EF%BC%9A%E6%96%87%E5%AD%97%E5%9B%BE%E4%BE%8B%E5%B0%BD%E7%9C%89%E7%9B%AE/index.html#tick">二、Tick上的文本</a></li>
 <li class="toctree-l2"><a class="reference internal" href="%E7%AC%AC%E5%9B%9B%E5%9B%9E%EF%BC%9A%E6%96%87%E5%AD%97%E5%9B%BE%E4%BE%8B%E5%B0%BD%E7%9C%89%E7%9B%AE/index.html#legend">三、legend（图例）</a></li>
+<li class="toctree-l2"><a class="reference internal" href="%E7%AC%AC%E5%9B%9B%E5%9B%9E%EF%BC%9A%E6%96%87%E5%AD%97%E5%9B%BE%E4%BE%8B%E5%B0%BD%E7%9C%89%E7%9B%AE/index.html#id5">参考资料</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="%E7%AC%AC%E4%BA%94%E5%9B%9E%EF%BC%9A%E6%A0%B7%E5%BC%8F%E8%89%B2%E5%BD%A9%E7%A7%80%E8%8A%B3%E5%8D%8E/index.html">第五回：样式色彩秀芳华</a><ul>

build/html/第四回：文字图例尽眉目/index.html

@@ -262,6 +262,11 @@
    三、legend（图例）
   </a>
  </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#id5">
+   参考资料
+  </a>
+ </li>
 </ul>
 
             </nav>
@@ -1046,6 +1051,10 @@ plt.legend(loc='best',facecolor='blue') #设置图例背景颜色,若无边框,
 </div>
 </div>
 </div>
+<div class="section" id="id5">
+<h2>参考资料<a class="headerlink" href="#id5" title="永久链接至标题">¶</a></h2>
+<p><a class="reference external" href="https://matplotlib.org/stable/tutorials/text/text_intro.html#sphx-glr-tutorials-text-text-intro-py">1.matplotlib官网文字使用指南</a></p>
+</div>
 </div>
 
 

build/jupyter_execute/第一回：Matplotlib初相识/index.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "4c7cc134",
+   "id": "52cdf126",
    "metadata": {},
    "source": [
     "# 第一回：Matplotlib初相识\n",
@@ -27,7 +27,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "40c7890c",
+   "id": "d6dcb98d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,7 +38,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "99516b37",
+   "id": "29fad847",
    "metadata": {},
    "outputs": [
     {
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f905d4f6",
+   "id": "de6d8388",
    "metadata": {},
    "source": [
     "**Trick**：\n",
@@ -82,7 +82,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "34b97fe3",
+   "id": "ae3c8b3d",
    "metadata": {},
    "outputs": [
     {
@@ -107,7 +107,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9592bcfd",
+   "id": "dc7e3525",
    "metadata": {},
    "source": [
     "## 三、Figure的组成\n",
@@ -138,7 +138,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "e5caa3a5",
+   "id": "23268625",
    "metadata": {},
    "outputs": [
     {
@@ -173,7 +173,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f6ed7722",
+   "id": "5ef6df20",
    "metadata": {},
    "source": [
     "而如果采用第二种绘图接口，绘制同样的图，代码是这样的："
@@ -182,7 +182,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "d5c496bd",
+   "id": "33527127",
    "metadata": {},
    "outputs": [
     {
@@ -216,7 +216,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "af191fa9",
+   "id": "5e694c08",
    "metadata": {},
    "source": [
     "## 参考资料\n",

build/jupyter_execute/第五回：样式色彩秀芳华/index.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "2a2f18bc",
+   "id": "935a9c76",
    "metadata": {},
    "source": [
     "# 第五回：样式色彩秀芳华\n",
@@ -25,7 +25,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "801f2685",
+   "id": "f26af3eb",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "71de4d40",
+   "id": "19f6a449",
    "metadata": {},
    "outputs": [
     {
@@ -63,7 +63,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "68809abd",
+   "id": "978aa7d8",
    "metadata": {},
    "outputs": [
     {
@@ -88,7 +88,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6088965c",
+   "id": "0eb8a16c",
    "metadata": {},
    "source": [
     "那么matplotlib究竟内置了那些样式供使用呢？总共以下26种丰富的样式可供选择。"
@@ -97,7 +97,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "f71c52a3",
+   "id": "04284094",
    "metadata": {},
    "outputs": [
     {
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5d6502b4",
+   "id": "6e1906db",
    "metadata": {},
    "source": [
     "### 2.用户自定义stylesheet\n",
@@ -134,7 +134,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "75c591e1",
+   "id": "d85a9039",
    "metadata": {},
    "outputs": [
     {
@@ -184,7 +184,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ae53fd50",
+   "id": "5803fa04",
    "metadata": {},
    "source": [
     "值得特别注意的是，matplotlib支持混合样式的引用，只需在引用时输入一个样式列表，若是几个样式中涉及到同一个参数，右边的样式表会覆盖左边的值。"
@@ -193,7 +193,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d460838a",
+   "id": "5bf998b6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -203,7 +203,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "240bac7e",
+   "id": "ae2616df",
    "metadata": {},
    "source": [
     "### 3.设置rcparams\n",
@@ -215,7 +215,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1576cdf4",
+   "id": "e844bff6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -226,7 +226,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0355df72",
+   "id": "74099e00",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -237,7 +237,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d4a9d05f",
+   "id": "6b7bc6f0",
    "metadata": {},
    "source": [
     "另外matplotlib也还提供了了一种更便捷的修改样式方式，可以一次性修改多个样式。"
@@ -246,7 +246,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "edfc9b62",
+   "id": "246340fc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -256,7 +256,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c0538f50",
+   "id": "331331a8",
    "metadata": {},
    "source": [
     "### 4.修改matplotlibrc文件\n",
@@ -267,7 +267,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "86beb322",
+   "id": "1bea0793",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -277,7 +277,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c7ea2f20",
+   "id": "5713057e",
    "metadata": {},
    "source": [
     "找到路径后，就可以直接编辑样式文件了，打开后看到的文件格式大致是这样的，文件中列举了所有的样式参数，找到想要修改的参数，比如lines.linewidth: 8，并将前面的注释符号去掉，此时再绘图发现样式以及生效了。\n",
@@ -302,7 +302,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6d846010",
+   "id": "6bdfed0c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -312,7 +312,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2439dcbb",
+   "id": "c0eb1b0f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -323,7 +323,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ebf46acc",
+   "id": "f7f51ec6",
    "metadata": {},
    "source": [
     "### 2.HEX RGB 或 RGBA"
@@ -332,7 +332,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f0dc0471",
+   "id": "238e1742",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -343,7 +343,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a2510577",
+   "id": "77175bc8",
    "metadata": {},
    "source": [
     "RGB颜色和HEX颜色之间是可以一一对应的，以下网址提供了两种色彩表示方法的转换工具。  \n",
@@ -355,7 +355,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "45dedec2",
+   "id": "749e86b2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -365,7 +365,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d95a2397",
+   "id": "fa2c8c7a",
    "metadata": {},
    "source": [
     "### 4.单字符基本颜色"
@@ -374,7 +374,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ae65a3ee",
+   "id": "b40ee633",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -384,7 +384,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "378a0485",
+   "id": "d68e9ab6",
    "metadata": {},
    "source": [
     "### 5.颜色名称"
@@ -393,7 +393,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5e877c34",
+   "id": "0b76af4b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -403,7 +403,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "89c8a8be",
+   "id": "11b5903f",
    "metadata": {},
    "source": [
     "![](https://matplotlib.org/3.1.0/_images/sphx_glr_named_colors_002.png)\n",
@@ -425,7 +425,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6126b7ed",
+   "id": "ef6dfd7d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -436,7 +436,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3379f57d",
+   "id": "d9298b92",
    "metadata": {},
    "source": [
     "在以下官网页面可以查询上述五种colormap的字符串表示和颜色图的对应关系    \n",

build/jupyter_execute/第四回：文字图例尽眉目/index.py

@@ -612,3 +612,8 @@ plt.legend([p3, p4], ['label', 'label1'], loc='lower right', scatterpoints=1)
 # 为了保留之前的l1这个legend，所以必须要通过plt.gca()获得当前的axes，然后将l1作为单独的artist
 plt.gca().add_artist(l1);
 
+
+# ## 参考资料
+# 
+# [1.matplotlib官网文字使用指南](https://matplotlib.org/stable/tutorials/text/text_intro.html#sphx-glr-tutorials-text-text-intro-py
+# )