Updating y axis ranges for each plot in matplotlib animation

Question

I have 20 files that I'd like to plot as the one shown below and then show one after another, resembling an animation. One given plot looks the one shown in the figure.

The 20 plots have different ranges for their y axis. So, while the one shown in the figure above ranges from -184000 to -176000, another might range from -160000 to -170000. Keeping the axis constant in the range of the minimum and maximum of all graphs causes the plots to be too stretched out or shrunken.

I've written the following code:

import matplotlib.pyplot as plt
import matplotlib.animation as animation
fig = plt.figure()
ims = []
for i in range(1, 21):
    file_out = "out" + "_" + str(i)
    outfile = pd.read_table(file_out, \
    skip_blank_lines=True, skipinitialspace=True, sep='\s+')
    x = outfile['col1']
    y = outfile['col2']
    im = plt.plot(x, y)
    ims.append(im)

ani = animation.ArtistAnimation(fig, ims, repeat=False, interval = 500)
plt.show()

Is there a way to change the axis ranges for each new graph in the animation? I tried adding the following line to the code but I was not successful: plt.axes(xlim = (0, 100), ylim = (min(y), max(y)))

Thanks!

Diziet Asahi · Accepted Answer · 2020-11-18 22:05:53Z

1

Using ArtistAnimation, all the lines are plotted on the same axes and are toggled visible/invisible at each frame, so they are all at the same scale. To get the desired result, I think you need to use FuncAnimation instead of ArtistAnimation.

Something like this (untested):

import matplotlib.pyplot as plt
import matplotlib.animation as animation

fig = plt.figure()

def animate(i):
    file_out = "out" + "_" + str(i)
    outfile = pd.read_table(file_out,
                            skip_blank_lines=True, skipinitialspace=True, sep='\s+')
    x = outfile['col1']
    y = outfile['col2']
    plt.cla()
    im = plt.plot(x, y)
    return im

ani = animation.FuncAnimation(fig, animate, frames=range(1,21), repeat=False, interval = 500)
plt.show()

answered Nov 18, 2020 at 22:05

Diziet Asahi

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