I'm trying to plot data that is generated in runtime. In order to do so I'm using matplotlib.animation.FuncAnimation
.
While the data is displayed correctly, the axis values are not updating accordingly to the values that are being displayed:
The x axis displays values from 0 to 10 eventhough I update them in every iteration in the update_line
function (see code below).
DataSource
contains the data vector and appends values at runtime, and also returns the indexes of the values being returned:
import numpy as np
class DataSource:
data = []
display = 10
# Append one random number and return last 10 values
def getData(self):
self.data.append(np.random.rand(1)[0])
if(len(self.data) <= self.display):
return self.data
else:
return self.data[-self.display:]
# Return the index of the last 10 values
def getIndexVector(self):
if(len(self.data) <= self.display):
return list(range(len(self.data)))
else:
return list(range(len(self.data)))[-self.display:]
I've obtained the plot_animation
function from the matplotlib docs.
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from datasource import DataSource
def update_line(num, source, line):
data = source.getData()
indexs = source.getIndexVector()
if indexs[0] != 0:
plt.xlim(indexs[0], indexs[-1])
dim=np.arange(indexs[0],indexs[-1],1)
plt.xticks(dim)
line.set_data(indexs,data)
return line,
def plot_animation():
fig1 = plt.figure()
source = DataSource()
l, = plt.plot([], [], 'r-')
plt.xlim(0, 10)
plt.ylim(0, 1)
plt.xlabel('x')
plt.title('test')
line_ani = animation.FuncAnimation(fig1, update_line, fargs=(source, l),
interval=150, blit=True)
# To save the animation, use the command: line_ani.save('lines.mp4')
plt.show()
if __name__ == "__main__":
plot_animation()
How can I update the x axis values in every iteration of the animation?
(I appreciate suggestions to improve the code if you see any mistakes, eventhough they might not be related to the question).