我有一个值数组，如何使用 matplotlib 的 plot 值使其看起来像 25 秒的视频

Question

I have a array of values

2515, 2513, 2513, 2513, 2513, 2512, 2515, 2511, 2526, 2513, 2511, 2500, 2521, 2511, 2523, 2512, 2529, 2513, 2526, 2514, 2518, 2512, 2524, 2512, 2527, 2512, 2521, 2512, 2517, 2514, 2522, 2512, 2521, 2512, 2528, 2511, 2523, 2512, 2518, 2513, 2522, 2512, 2511, 2512, 2524, 2512, 2515, 2512, 2509, 2512, 2515, 2512, 2528, 2512, 2516, 2512, 2527, 2512, 2526, 2512, 2528, 2512, 2529, 2512, 2523, 2511, 2526, 2512, 2521, 2513, 2510, 2512, 2523, 2513, 2500, 2511, 2518, 2512, 2513, 2512, 2526, 2512, 2526, 2512, 2520, 2512, 2526, 2512, 2519, 2500, 2529, 2511, 2514, 2512, 2522, 2512, 2513, 2512, 2515, 2512]

When I am using matplotlib I am getting a graph like this

The code to get this graph from matplotlib import pyplot as plt plt.plot(new3[:100]) plt.show()

What should I do to plot this graph in say 25 seconds. I mean there should be a live plotting for a similar graph and it should be completed in 25 seconds. I am not looking for multiple graph I want all the updates to be made in a single graph only

Answer 1

You can use Numpy's arange to create a range of 25 seconds with the frequency being the time you want (25 seconds) divided by the total number of points (the length of your data) like so:

import matplotlib.pyplot as plt
import numpy as np

data = [2515, 2513, 2513, 2513, 2513, 2512, 2515, 2511, 2526, 2513, 2511, 2500, 2521, 2511, 2523, 
        2512, 2529, 2513, 2526, 2514, 2518, 2512, 2524, 2512, 2527, 2512, 2521, 2512, 2517, 2514, 
        2522, 2512, 2521, 2512, 2528, 2511, 2523, 2512, 2518, 2513, 2522, 2512, 2511, 2512, 2524, 
        2512, 2515, 2512, 2509, 2512, 2515, 2512, 2528, 2512, 2516, 2512, 2527, 2512, 2526, 2512, 
        2528, 2512, 2529, 2512, 2523, 2511, 2526, 2512, 2521, 2513, 2510, 2512, 2523, 2513, 2500, 
        2511, 2518, 2512, 2513, 2512, 2526, 2512, 2526, 2512, 2520, 2512, 2526, 2512, 2519, 2500, 
        2529, 2511, 2514, 2512, 2522, 2512, 2513, 2512, 2515, 2512]

timePeriod = 25 # 25 seconds
x_axis = np.arange(0, timePeriod, timePeriod/len(data))

plt.plot(x_axis, data)