2021-04-28 Python可视化图表生成-Matplotlib绘图

绝地灬酷狼 2023-01-17 10:43 66阅读 0赞

## Python可视化图表生成-Matplotlib ##

Matplotlib 是Python中类似 MATLAB 的绘图工具，熟悉 MATLAB 也可以很快的上手 Matplotlib

安装

pip install matplotlib

![图片][cd6913074050abd772e00830632730ce.png]  
折线图

import numpy as npimport matplotlib.pyplot as pltimport matplotlib
    # 指定默认字体matplotlib.rcParams['font.sans-serif'] = ['SimHei']matplotlib.rcParams['font.family'] = 'sans-serif'# 解决负号'-'显示为方块的问题matplotlib.rcParams['axes.unicode_minus'] = False
    x = np.linspace(0, 2, 100)  # 创建等差数列 0-2之间100个
    plt.plot(x, x, label="line1")  # 第一个参数为横坐标 第二个为纵坐标 第三个为曲线名字plt.plot(x, x ** 2, label="line2")plt.plot(x, x ** 3, label="line3")plt.xlabel("x label")  # x轴名字plt.ylabel("y label")  # y轴名字plt.title("折线图")  # 图标名字plt.legend()  # 显示图例plt.show()  # 生成图表

![图片][4397de772f09881845a11ef32432266d.png]

散点图

import numpy as npimport matplotlib.pyplot as pltimport matplotlib
    # 指定默认字体matplotlib.rcParams['font.sans-serif'] = ['SimHei']matplotlib.rcParams['font.family'] = 'sans-serif'# 解决负号'-'显示为方块的问题matplotlib.rcParams['axes.unicode_minus'] = False
    x = np.arange(0., 5., 0.2)  # 从0-5之间，产生等差数列，公差为0.2plt.plot(x, x, "r--", x, x ** 2, "bs", x, x ** 3, "g^")  #plt.xlabel("x label")  # x轴名字plt.ylabel("y label")  # y轴名字plt.title("折线图")  # 图标名字plt.legend()  # 显示图例
    plt.show()  # 生成图表

![图片][d5ef8674353e1def1db08c08fc503bad.png]

三维散点图

import numpy as npimport matplotlib.pyplot as pltimport matplotlib
    # 指定默认字体matplotlib.rcParams['font.sans-serif'] = ['SimHei']matplotlib.rcParams['font.family'] = 'sans-serif'# 解决负号'-'显示为方块的问题matplotlib.rcParams['axes.unicode_minus'] = False
    data = np.random.randint(0, 255, size=[40, 40, 40])  # 产生随机数
    x, y, z = data[0], data[1], data[2]  #ax = plt.subplot(111, projection="3d")  # 创建三维绘图
    ax.scatter(x[:10], y[:10], z[:10], c="y")  # 绘制散点ax.scatter(x[10:20], y[10:20], z[10:20], c="r")ax.scatter(x[30:40], y[30:40], z[30:40], c="g")
    ax.set_xlabel("X")  # x轴名字ax.set_ylabel("Y")  # y轴名字ax.set_zlabel("Z")  # z轴名字
    plt.title("三维散点图")  # 图标名字plt.legend()  # 显示图例plt.show()  # 生成图表

![图片][294961b9cc8d2812fd1ed1c9ad6c9310.png]

三维平面图

import numpy as npimport matplotlib.pyplot as pltimport matplotlibfrom mpl_toolkits.mplot3d import Axes3D
    # 指定默认字体matplotlib.rcParams['font.sans-serif'] = ['SimHei']matplotlib.rcParams['font.family'] = 'sans-serif'# 解决负号'-'显示为方块的问题matplotlib.rcParams['axes.unicode_minus'] = False
    fig = plt.figure()ax = Axes3D(fig)X = np.arange(-4, 4, 0.25)Y = np.arange(-4, 4, 0.25)X, Y = np.meshgrid(X, Y)  #R = np.sqrt(X ** 2 + Y ** 2)Z = np.sin(R)ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap="rainbow")  #
    plt.show()  # 生成图表

![图片][9d1dd5fd909cb8863c4a1407103f484c.png]

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[d5ef8674353e1def1db08c08fc503bad.png]: /images/20221021/3a502948d7fd4ce7bfc2d1b501655807.png
[294961b9cc8d2812fd1ed1c9ad6c9310.png]: /images/20221021/fe3cb26a213f431b8cccadc6b97c6de1.png
[9d1dd5fd909cb8863c4a1407103f484c.png]: /images/20221021/da3716a113f04ef18034a3616c1fb2c1.png
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