matplotlib平滑動畫疊加在散點圖上

Question

Jupyter中的以下Python代碼顯示了一個顯示一些生成的散點圖數據的示例，它疊加了一條可以交互式更改y截距和斜率的線，還顯示了均方根錯誤。我的問題是：我怎樣才能讓它更具響應性？有一個滯後和積累的變化得到處理，並且閃爍很多。它可以更快，更敏捷，更順暢嗎？

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%matplotlib inline 

from ipywidgets import interactive 
import matplotlib.pyplot as plt 
import numpy as np 

# Desired mean values of generated sample. 
N = 50 

# Desired mean values of generated sample. 
mean = np.array([0, 0]) 

# Desired covariance matrix of generated sample. 
cov = np.array([ 
     [ 10, 8], 
     [ 8, 10] 
    ]) 

# Generate random data. 
data = np.random.multivariate_normal(mean, cov, size=N) 
xdata = data[:, 0] 
ydata = data[:, 1] 

# Plot linear regression line 
def f(m, b): 
    plt.figure() 
    x = np.linspace(-10, 10, num=100) 
    plt.plot(xdata, ydata, 'ro') 
    plt.plot(x, m * x + b) 
    plt.ylim(-10, 10) 
    rmes = np.sqrt(np.mean(((xdata*m+b)-ydata)**2)) 
    print("Root Mean Square Error: ", rmes) 

interactive_plot = interactive(f, m=(-10.0, 10.0), b=(-10, 10, 0.5)) 
output = interactive_plot.children[-1] 
output.layout.height = '350px' 
interactive_plot 

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Answer 1

你需要有plt.show()在你的函數結束。有一個github issue about it

嘗試使用FloatSlider與continuous_update=False。 See here

interactive_plot = interactive(f, m=FloatSlider(min=-10.0, max=10.0, continuous_update=False), 
           b=FloatSlider(min=-10, max=10, step=.5, continuous_update=False))