matplotlib.pyplot 绘图（资料收集，待续）

谁践踏了优雅 2023-05-29 05:16 16阅读 0赞

所有的经典绘图都在这里：

[https://matplotlib.org/gallery/index.html][https_matplotlib.org_gallery_index.html]

每当自己想用python  画图时 ，需要的是各种情况的图形。

demo1：  可以转化为话3 张图，四张图

import numpy as np
    import matplotlib.pyplot as plt
    
    # Fixing random state for reproducibility
    np.random.seed(19680801)
    
    dt = 0.01
    t = np.arange(0, 30, dt)
    nse1 = np.random.randn(len(t))                 # white noise 1
    nse2 = np.random.randn(len(t))                 # white noise 2
    
    # Two signals with a coherent part at 10Hz and a random part
    s1 = np.sin(2 * np.pi * 10 * t) + nse1
    s2 = np.sin(2 * np.pi * 10 * t) + nse2
    
    fig, axs = plt.subplots(2, 1)
    axs[0].plot(t, s1, t, s2)
    axs[0].set_xlim(0, 2)
    axs[0].set_xlabel('time')
    axs[0].set_ylabel('s1 and s2')
    axs[0].grid(True)
    
    cxy, f = axs[1].cohere(s1, s2, 256, 1. / dt)
    axs[1].set_ylabel('coherence')
    
    fig.tight_layout()
    plt.show()

运行图片：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjUyODA4OQ_size_16_color_FFFFFF_t_70][]

plt.tight\_layout():表示会调整多个子图，使之填充整个图像区域。

demo2： 只展示一个图：

import numpy as np
    import matplotlib.pyplot as plt
    
    # Fixing random state for reproducibility
    
    dt =0.01 
    t=np.arange(0,30,dt)
    
    s1= np.sin(2*np.pi*10*t)
    s2= np.sin(2*np.pi*20*t)
    s3= np.sin(2*np.pi*30*t)
    
    fig,axs=plt.subplots(1,1)
    s=s1+s2+s3
    plt.plot(t,s)
    
    plt.show()

运行结果：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjUyODA4OQ_size_16_color_FFFFFF_t_70 1][]

[https_matplotlib.org_gallery_index.html]: https://matplotlib.org/gallery/index.html
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjUyODA4OQ_size_16_color_FFFFFF_t_70]: https://img-blog.csdnimg.cn/20191104165903276.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjUyODA4OQ==,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjUyODA4OQ_size_16_color_FFFFFF_t_70 1]: https://img-blog.csdnimg.cn/20191104171147860.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MjUyODA4OQ==,size_16,color_FFFFFF,t_70