I have created a 3D plot surface from a file and I'm trying to animate the plot.
I have read the examples in the matplotlib webpage and other examples in SO, and notice that I need to create an update function to loop through the values in the file and then create a matplotlib.animation
object but I don't understand how to do it.
I would appreciate very much if someone could explain me the syntax of the update function and how to use it in the matplotlib.animation
object.
My data is a multidimensional array with 498 lines and for each line i have an array with 64x128 values. Data is organized in the following way:
Data is a time series from a force plate and each one of the 500 lines is a frame, which means that this trial lasts 10 seconds. For each frame I have another array with 64x128 values.
This is my code until now:
from mpl_toolkits.mplot3d import *
import matplotlib.pyplot as plt
import numpy as np
from random import random, seed
from matplotlib import cm
from mpl_toolkits.mplot3d import axes3d
import matplotlib.animation as animation
source_path = "c:\Projecto\"
destination_path = "c:\Projecto\EntirePlate\"
#fid = np.loadtxt(source_path + "rolloff_xls.txt",dtype=str)
fid_MP = open(source_path + "101mp - Entire plate roll off.xls","Ur")
lines_MP = fid_MP.readlines()
fid_MP.close()
values_MP = []
for i in lines_MP:
if i[0].isdigit():
values_MP.append(i)
values = np.loadtxt(values_MP,dtype=float)
new_values_MP =[]
for i in range(0,(len(values_MP)/64)):
for j in range(0,64):
new_values_MP.append([[i],[j],values[j]])
new_values_MP = np.asarray(new_values_MP)
fig = plt.figure()
ax = fig.gca(projection='3d') # to work in 3d
plt.hold(True)
x_surf = np.arange(0,128) # generate a mesh
y_surf = np.arange(0,64)
x_surf, y_surf = np.meshgrid(x_surf, y_surf)
z_surf = []
for i in range(0,64):
# print(new_values[i])
z_surf.append(np.asarray(new_values_MP[i][2])) # ex. function, which depends on x and y
z_surf = np.asarray(z_surf).reshape([64,128])
ax.plot_surface(x_surf, y_surf, z_surf, rstride=2, cstride=2 ,cmap=cm.jet) # plot a 3d surface plot
ax.set_xlabel('Medio Lateral - Axis')
ax.set_ylabel('Anterior Posterior - Axis')
ax.set_zlabel('Pressure (P)')
def update(x_values, y_values, z_values):
for i in range(0,len(values_MP)/64):
x_surf = x_values
y_surf = y_values
z_surf.set_data(new_values_MP[i,2])
return z_surf
ani = animation.FuncAnimation(fig, update, frames=xrange(len(values_MP)/64),
interval=50, blit=False)
plt.show()
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