matplotlib-animation

问题 I am new to python and am carrying out some little projects along side watching tutorials to enable me to learn. I have recently been working with some APIs to collect data - I save this data in a CSV file and then open the CSV file to show the data as a graph. I want the graph to show the data LIVE , but in doing so I only want 10 values on the screen at once, so when the 11th value is plotted, the 1st is no longer visible unless the scrolling function is used to look back at it.. I have

问题 I want to have an animation of my plot of my results of the mc method calculating pi; but having the inner circle dots colored differently than the others. How can I do that? This is my code so far: import matplotlib.pyplot as plt import numpy as np from matplotlib.animation import FuncAnimation def punkt_im_quadrat(a,N): #a is length of square, N number of dots """generates random point in [0,a)x[0,a)""" x = a * np.random.random_sample((N,2)) return x #[x,y] def kreis(radius): return np.sqrt

问题 I am building a GUI that takes in sensor data from the raspberry pi and displays it onto a window via matplotlib animation. The code works fine, except when being run on raspberry pi, the matplotlib animation takes some time to execute, which momentarily blocks the sensor reading GetCPM that I'm interested in. How can I make both these programs run simultaneously without one clogging the other, I've tried the multiprocessing library, but I can't seem to get it to work. Note: The sensor data

问题 I have 3 lists which contain the x cordinates, y coordinates and z coordinates respectively. I am trying to track the position in 3D space. I use the below code: fig = plt.figure() ax = p3.Axes3D(fig) def update(num, data, line): line.set_data(data[:2, :num]) line.set_3d_properties(data[2, :num]) N = 4000 d3d=np.array([xdata,ydata,zdata]) line, = ax.plot(d3d[0, 0:1], d3d[1, 0:1], d3d[2, 0:1], color='blue') ax.set_xlim3d([2.0, -2.0]) ax.set_xlabel('X') ax.set_ylim3d([2.0, -2.0]) ax.set_ylabel(

问题 I have 3 lists which contain the x cordinates, y coordinates and z coordinates respectively. I am trying to track the position in 3D space. I use the below code: fig = plt.figure() ax = p3.Axes3D(fig) def update(num, data, line): line.set_data(data[:2, :num]) line.set_3d_properties(data[2, :num]) N = 4000 d3d=np.array([xdata,ydata,zdata]) line, = ax.plot(d3d[0, 0:1], d3d[1, 0:1], d3d[2, 0:1], color='blue') ax.set_xlim3d([2.0, -2.0]) ax.set_xlabel('X') ax.set_ylim3d([2.0, -2.0]) ax.set_ylabel(

问题 This is a continuation of a previous question I asked. I noticed the values being used to update my pie chart were incorrect. I have a list z that is being updated with the num iterator in my FuncAnimation function named update . Here is the code I'm working with: import numpy as np import matplotlib.animation as animation from matplotlib import pyplot as plt numbers = [[6.166, 5.976, 3.504, 7.104, 5.14], [7.472, 5.888, 3.264, 6.4825, 7.168], [7.5716, 9.936, 3.6, 8.536, 2.808], [2.604, 2.296,