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Matplotlib examples
Matplotlib的案例
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‎PythonDemo/.spyproject/workspace.ini‎

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[main]
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version = 0.1.0
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recent_files = ['E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\bs4JokeToExcel.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\bs4WangYiYunToExcel.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\saveToExcel\\xlwtDemo.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\saveToExcel\\xwltDemo2.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\bs4WangYiYunToExcel2.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\bs4quickstart.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\bs4Meizitu.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\urllib.requestDemo1.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\weixin.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\weixinItchatSexAs.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\weixinchatRobotGroup.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\weixinchatRobotSingle.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\bs4WangYiYun.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\qqbotRobot.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\spider\\weixinQianming.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\numpy\\arrayboolean.py', 'D:\\Anaconda3\\lib\\site-packages\\matplotlib\\pyplot.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\wordcloud\\simple.py', 'D:\\Anaconda3\\lib\\site-packages\\wordcloud\\__init__.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\wordcloud\\examples\\a_new_hope.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\wordcloud\\examples\\a_new_hope.txt', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\wordcloud\\examples\\colored_by_group.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\wordcloud\\examples\\emoji.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\wordcloud\\examples\\frequency.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\wordcloud\\examples\\happy-emoji.txt', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\wordcloud\\examples\\masked.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\readme.txt', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\wordcloud\\examples\\colored.py', 'D:\\Anaconda3\\lib\\site-packages\\PIL\\Image.py']
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recent_files = ['E:\\GitHubWorkplace\\Python\\PythonDemo\\Matplotlib\\demo19.py', 'E:\\GitHubWorkplace\\Python\\PythonDemo\\Matplotlib\\demo18.py']
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‎PythonDemo/Matplotlib/demo1.py‎

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# -*- coding: utf-8 -*-
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"""
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简单图形绘制
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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#从-1-----1之间等间隔采66个数.也就是说所画出来的图形是66个点连接得来的
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#注意：如果点数过小的话会导致画出来二次函数图像不平滑
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x = np.linspace(-1, 1,66)
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# 绘制y=2x+1函数的图像
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y = 2 * x + 1
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plt.plot(x, y)
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plt.show()
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# 绘制x^2函数的图像
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y = x**2
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plt.plot(x, y)
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plt.show()

‎PythonDemo/Matplotlib/demo10.py‎

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# -*- coding: utf-8 -*-
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"""
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绘制登高线图
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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# 定义等高线高度函数
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def f(x, y):
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return (1 - x / 2 + x ** 5 + y ** 3) * np.exp(- x ** 2 - y ** 2)
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# 数据数目
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n = 256
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# 定义x, y
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x = np.linspace(-3, 3, n)
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y = np.linspace(-3, 3, n)
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# 生成网格数据
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X, Y = np.meshgrid(x, y)
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# 填充等高线的颜色, 8是等高线分为几部分
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plt.contourf(X, Y, f(X, Y), 8, alpha = 0.75, cmap = plt.cm.hot)
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# 绘制等高线
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C = plt.contour(X, Y, f(X, Y), 8, colors = 'black', linewidth = 0.5)
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# 绘制等高线数据
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plt.clabel(C, inline = True, fontsize = 10)
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# 去除坐标轴
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plt.xticks(())
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plt.yticks(())
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plt.show()

‎PythonDemo/Matplotlib/demo11.py‎

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# -*- coding: utf-8 -*-
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"""
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绘制Image
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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# 定义图像数据
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a = np.linspace(0, 1, 9).reshape(3, 3)
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# 显示图像数据
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plt.imshow(a, interpolation = 'nearest', cmap = 'bone', origin = 'lower')
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# 添加颜色条
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plt.colorbar()
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# 去掉坐标轴
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plt.xticks(())
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plt.yticks(())
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plt.show()

‎PythonDemo/Matplotlib/demo12.py‎

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# -*- coding: utf-8 -*-
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"""
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绘制3d图形
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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from mpl_toolkits.mplot3d import Axes3D
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# 定义figure
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fig = plt.figure()
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# 将figure变为3d
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ax = Axes3D(fig)
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# 数据数目
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n = 256
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# 定义x, y
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x = np.arange(-4, 4, 0.25)
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y = np.arange(-4, 4, 0.25)
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# 生成网格数据
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X, Y = np.meshgrid(x, y)
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# 计算每个点对的长度
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R = np.sqrt(X ** 2 + Y ** 2)
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# 计算Z轴的高度
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Z = np.sin(R)
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# 绘制3D曲面
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ax.plot_surface(X, Y, Z, rstride = 1, cstride = 1, cmap = plt.get_cmap('rainbow'))
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# 绘制从3D曲面到底部的投影
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ax.contour(X, Y, Z, zdim = 'z', offset = -2, cmap = 'rainbow')
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# 设置z轴的维度
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ax.set_zlim(-2, 2)
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plt.show()

‎PythonDemo/Matplotlib/demo13.py‎

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# -*- coding: utf-8 -*-
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"""
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subplot绘制多图
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"""
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import matplotlib.pyplot as plt
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plt.figure()
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# 绘制第一个图
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plt.subplot(2, 2, 1)
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plt.plot([0, 1], [0, 1])
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# 绘制第二个图
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plt.subplot(2, 2, 2)
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plt.plot([0, 1], [0, 1])
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# 绘制第三个图
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plt.subplot(2, 2, 3)
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plt.plot([0, 1], [0, 1])
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# 绘制第四个图
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plt.subplot(2, 2, 4)
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plt.plot([0, 1], [0, 1])
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plt.show()

‎PythonDemo/Matplotlib/demo14.py‎

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# -*- coding: utf-8 -*-
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"""
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subplot绘制多图
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"""
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import matplotlib.pyplot as plt
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plt.figure()
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# 绘制第一个图
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plt.subplot(2, 1, 1)
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plt.plot([0, 1], [0, 1])
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# 绘制第二个图
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plt.subplot(2, 3, 4)
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plt.plot([0, 1], [0, 1])
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# 绘制第三个图
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plt.subplot(2, 3, 5)
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plt.plot([0, 1], [0, 1])
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# 绘制第四个图
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plt.subplot(2, 3, 6)
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plt.plot([0, 1], [0, 1])
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plt.show()

‎PythonDemo/Matplotlib/demo15.py‎

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# -*- coding: utf-8 -*-
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"""
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figure绘制多图
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"""
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import matplotlib.pyplot as plt
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# 定义figure
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plt.figure()
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# figure分成3行3列, 取得第一个子图的句柄, 第一个子图跨度为1行3列, 起点是表格(0, 0)
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ax1 = plt.subplot2grid((3, 3), (0, 0), colspan = 3, rowspan = 1)
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ax1.plot([0, 1], [0, 1])
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ax1.set_title('Test')
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# figure分成3行3列, 取得第二个子图的句柄, 第二个子图跨度为1行3列, 起点是表格(1, 0)
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ax2 = plt.subplot2grid((3, 3), (1, 0), colspan = 2, rowspan = 1)
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ax2.plot([0, 1], [0, 1])
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# figure分成3行3列, 取得第三个子图的句柄, 第三个子图跨度为1行1列, 起点是表格(1, 2)
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ax3 = plt.subplot2grid((3, 3), (1, 2), colspan = 1, rowspan = 1)
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ax3.plot([0, 1], [0, 1])
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# figure分成3行3列, 取得第四个子图的句柄, 第四个子图跨度为1行3列, 起点是表格(2, 0)
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ax4 = plt.subplot2grid((3, 3), (2, 0), colspan = 3, rowspan = 1)
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ax4.plot([0, 1], [0, 1])
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plt.show()

‎PythonDemo/Matplotlib/demo16.py‎

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# -*- coding: utf-8 -*-
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"""
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figure绘制多图
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"""
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import matplotlib.pyplot as plt
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import matplotlib.gridspec as gridspec
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# 定义figure
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plt.figure()
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# 分隔figure
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gs = gridspec.GridSpec(3, 3)
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ax1 = plt.subplot(gs[0, :])
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ax2 = plt.subplot(gs[1, 0:2])
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ax3 = plt.subplot(gs[1, 2])
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ax4 = plt.subplot(gs[2, :])
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# 绘制图像
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ax1.plot([0, 1], [0, 1])
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ax1.set_title('Test')
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ax2.plot([0, 1], [0, 1])
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ax3.plot([0, 1], [0, 1])
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ax4.plot([0, 1], [0, 1])
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plt.show()

‎PythonDemo/Matplotlib/demo17.py‎

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# -*- coding: utf-8 -*-
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"""
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figure图的嵌套
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"""
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import matplotlib.pyplot as plt
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# 定义figure
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fig = plt.figure()
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# 定义数据
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x = [1, 2, 3, 4, 5, 6, 7]
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y = [1, 3, 4, 2, 5, 8, 6]
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# figure的百分比, 从figure 10%的位置开始绘制, 宽高是figure的80%
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left, bottom, width, height = 0.1, 0.1, 0.8, 0.8
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# 获得绘制的句柄
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ax1 = fig.add_axes([left, bottom, width, height])
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# 绘制点(x,y)
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ax1.plot(x, y, 'r')
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ax1.set_xlabel('x')
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ax1.set_ylabel('y')
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ax1.set_title('test')
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# 嵌套方法一
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# figure的百分比, 从figure 10%的位置开始绘制, 宽高是figure的80%
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left, bottom, width, height = 0.2, 0.6, 0.25, 0.25
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# 获得绘制的句柄
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ax2 = fig.add_axes([left, bottom, width, height])
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# 绘制点(x,y)
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ax2.plot(x, y, 'r')
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ax2.set_xlabel('x')
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ax2.set_ylabel('y')
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ax2.set_title('part1')
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# 嵌套方法二
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plt.axes([bottom, left, width, height])
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plt.plot(x, y, 'r')
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plt.xlabel('x')
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plt.ylabel('y')
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plt.title('part2')
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plt.show()

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