Python 非常热门,但除非工作需要没有刻意去了解更多,直到有个函数图需要绘制,想起了它。结果发现,完全用不着明白什么是编程,就可以使用它完成很多数学函数图的绘制。
<bi style="box-sizing: border-box; display: block;">通过以下两个步骤,就可以进行数学函数的绘制了。</bi>
两个步骤
(1)安装 Anaconda
Anaconda 包含了 Python 的运行环境、诸多科学计算库以及好些实用工具,安装它,有当前所需的一切。看它们的翻译,的确也是同类。
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下载地址:
Python学习交流群:1004391443,这里有资源共享,技术解答,还有小编从最基础的Python资料到项目实战的学习资料都有整理,希望能帮助你更了解python,学习python。
https://www.anaconda.com/distribution/
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直接运行安装即可,有点大。
(2)编织代码运行
运行 Anaconda Navigator,打开界面中的 Spyder,如下图:
<tt-image data-tteditor-tag="tteditorTag" contenteditable="false" class="syl1558252476363" data-render-status="finished" data-syl-blot="image" style="box-sizing: border-box; cursor: text; color: rgb(34, 34, 34); font-family: "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "WenQuanYi Micro Hei", "Helvetica Neue", Arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: pre-wrap; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial; display: block;"><input class="pgc-img-caption-ipt" placeholder="图片描述(最多50字)" value="" style="box-sizing: border-box; outline: 0px; color: rgb(102, 102, 102); position: absolute; left: 187.5px; transform: translateX(-50%); padding: 6px 7px; max-width: 100%; width: 375px; text-align: center; cursor: text; font-size: 12px; line-height: 1.5; background-color: rgb(255, 255, 255); background-image: none; border: 0px solid rgb(217, 217, 217); border-radius: 4px; transition: all 0.2s cubic-bezier(0.645, 0.045, 0.355, 1) 0s;"></tt-image>
进入编辑界面,我们以一个最简单的 y = x 函数为例输入以下代码:
<pre spellcheck="false" style="box-sizing: border-box; margin: 5px 0px; padding: 5px 10px; border: 0px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-weight: 400; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: inherit; vertical-align: baseline; cursor: text; counter-reset: list-1 0 list-2 0 list-3 0 list-4 0 list-5 0 list-6 0 list-7 0 list-8 0 list-9 0; background-color: rgb(240, 240, 240); border-radius: 3px; white-space: pre-wrap; color: rgb(34, 34, 34); letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(1, 10, 1000)
y = x
plt.plot(x,y,'r',linewidth=2)
</pre>
运行它就能看到已经有我们想要的结果。
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关键解析
这几行代码中,前两行是引入相应的功能库,Anaconda 已经包含了这些库,复制代码上去即可。最后一行是执行绘制。所以关键的代码以下两行。
<pre spellcheck="false" style="box-sizing: border-box; margin: 5px 0px; padding: 5px 10px; border: 0px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-weight: 400; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: inherit; vertical-align: baseline; cursor: text; counter-reset: list-1 0 list-2 0 list-3 0 list-4 0 list-5 0 list-6 0 list-7 0 list-8 0 list-9 0; background-color: rgb(240, 240, 240); border-radius: 3px; white-space: pre-wrap; color: rgb(34, 34, 34); letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">x = np.linspace(1, 10, 1000)
y = x
</pre>
而第一行指明的是 x 的取值范围,x = np.linspace(1, 10, 1000)表示 x 的取值范围为 1 至 10,后边那个 1000 指的是细粒度,线是由点构成的,但点是无穷的,我们通过有限的点形成线,理论上点定义得越细线越精确。
则我们只剩下第二行 y = x 的函数部分了,对于 y = f(x) 的函数,仅此一处写函数即可。试试:
<pre spellcheck="false" style="box-sizing: border-box; margin: 5px 0px; padding: 5px 10px; border: 0px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-weight: 400; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: inherit; vertical-align: baseline; cursor: text; counter-reset: list-1 0 list-2 0 list-3 0 list-4 0 list-5 0 list-6 0 list-7 0 list-8 0 list-9 0; background-color: rgb(240, 240, 240); border-radius: 3px; white-space: pre-wrap; color: rgb(34, 34, 34); letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">y = np.sin(x)
</pre>
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是不是只剩下关心数学函数了,如果你需要的就是这些,至此就可以了。
更多控制
若需要进一步的对坐标进行修饰,设置坐标轴标签,精准刻度等,可以参考:
https://www.jianshu.com/p/78ba36dddad8
更多库功能:
numpy 库基础信息可参考:
https://www.numpy.org/devdocs/user/basics.html
matplotlib.pyplot 库操作可参考:
https://matplotlib.org/api/pyplot_api.html
不得不提
Anoconda 除了提供 Spyder 编辑工具,还提供 Jupyter notebook 工具,即所谓有文学编程工具(左手程序员,右手作家),了解它可参阅此文章:《左手程序员,右手作家:你必须会的Jupyter Notebook》
以下为本文介绍的几个函数通过 Jupyter notebook 形成文档的一个示例,可写文字,又写代码,还直接输出运行结果:
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