Related
I'm trying to make a 3d scatterplot with fading points over time, similar to this question. However, when I apply the colormap to the data, then the face of the marker changes color but the edge remains solid.
I've tried using the edgecolors='None', edgecolor='none' kwargs, the marker='o' kwarg as per this example, and the edgecolor='face' kwarg. I've also tried using post creation methods such as scat3D.set_edgecolor("None") etc. The first attempts throw an error, and the latter have no effect.
Error from setting kwargs:
Traceback (most recent call last):
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/animation.py", line 230, in saving
yield self
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/animation.py", line 1156, in save
writer.grab_frame(**savefig_kwargs)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/animation.py", line 384, in grab_frame
dpi=self.dpi, **savefig_kwargs)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/figure.py", line 2180, in savefig
self.canvas.print_figure(fname, **kwargs)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/backends/backend_qt5agg.py", line 88, in print_figure
super().print_figure(*args, **kwargs)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/backend_bases.py", line 2082, in print_figure
**kwargs)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py", line 442, in print_raw
FigureCanvasAgg.draw(self)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py", line 388, in draw
self.figure.draw(self.renderer)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/artist.py", line 38, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/figure.py", line 1709, in draw
renderer, self, artists, self.suppressComposite)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/image.py", line 135, in _draw_list_compositing_images
a.draw(renderer)
File "/home/max/.local/lib/python3.6/site-packages/matplotlib/artist.py", line 38, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/home/max/.local/lib/python3.6/site-packages/mpl_toolkits/mplot3d/axes3d.py", line 292, in draw
reverse=True)):
File "/home/max/.local/lib/python3.6/site-packages/mpl_toolkits/mplot3d/axes3d.py", line 291, in <lambda>
key=lambda col: col.do_3d_projection(renderer),
File "/home/max/.local/lib/python3.6/site-packages/mpl_toolkits/mplot3d/art3d.py", line 545, in do_3d_projection
ecs = (_zalpha(self._edgecolor3d, vzs) if self._depthshade else
File "/home/max/.local/lib/python3.6/site-packages/mpl_toolkits/mplot3d/art3d.py", line 847, in _zalpha
rgba = np.broadcast_to(mcolors.to_rgba_array(colors), (len(zs), 4))
File "<__array_function__ internals>", line 6, in broadcast_to
File "/home/max/.local/lib/python3.6/site-packages/numpy/lib/stride_tricks.py", line 182, in broadcast_to
return _broadcast_to(array, shape, subok=subok, readonly=True)
File "/home/max/.local/lib/python3.6/site-packages/numpy/lib/stride_tricks.py", line 127, in _broadcast_to
op_flags=['readonly'], itershape=shape, order='C')
ValueError: operands could not be broadcast together with remapped shapes [original->remapped]: (0,4) and requested shape (100,4)
(There's a during the handling the above exception another occured error after that, but my post was flagged as spam so I didn't include it)
Here's the code without the error (adding a kwarg listed above causes the error):
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.animation as animation
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.patches as mpatches
total = 10
num_whatever = 100
to_plot = [np.random.rand(num_whatever, 3) for i in range(total)]
colors = np.linspace(0, 1, num_whatever)
fig = plt.figure()
ax3d = Axes3D(fig)
scat3D = ax3d.scatter([],[],[], s=10, cmap="Blues", vmin=0, vmax=1)
scat3D.set_cmap("Blues") # cmap argument above is ignored, so set it manually
ttl = ax3d.text2D(0.05, 0.95, "", transform=ax3d.transAxes)
def update_plot(i):
print( i, to_plot[i].shape)
ttl.set_text('PCA on 3 components at step = {}'.format(i*20))
scat3D._offsets3d = np.transpose(to_plot[i])
scat3D.set_array(colors)
return scat3D,
def init():
scat3D.set_offsets([[],[],[]])
plt.style.use('ggplot')
ani = animation.FuncAnimation(fig, update_plot, init_func=init,
blit=False, interval=300, frames=range(total))
ani.save("ani.gif", writer="imagemagick")
plt.show()
Here's the plot with the marker edges not hidden:
Plot
You can see that the faded points still have the marker edges not colormapped. I would expect that setting edgecolor would be unnecessary in the first place, since the 2d animation clearly doesn't need it. But why would adding that kwarg cause me to get a operands could not be broadcast togeather error? I don't have any array with shape (0, 4), so it's not clear where this is coming from.
The problem is that if c (as the color argument) is not specified, it is not a priori clear if a colormapping should happen or not. This leads to some internal confusion about which arguments to obey to. But we can specify c as an empty list to get around that.
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.animation as animation
from mpl_toolkits.mplot3d import Axes3D
total = 10
num_whatever = 100
to_plot = [np.random.rand(num_whatever, 3) for i in range(total)]
colors = np.linspace(0, 1, num_whatever)
fig = plt.figure()
ax3d = Axes3D(fig)
scat3D = ax3d.scatter([], [], [], s=10, c=[], cmap="Blues", vmin=0, vmax=1,
depthshade=False)
ttl = ax3d.text2D(0.05, 0.95, "", transform=ax3d.transAxes)
def update_plot(i):
print( i, to_plot[i].shape)
ttl.set_text('PCA on 3 components at step = {}'.format(i*20))
scat3D._offsets3d = np.transpose(to_plot[i])
scat3D.set_array(colors)
return scat3D,
def init():
scat3D.set_offsets([[],[],[]])
plt.style.use('ggplot')
ani = animation.FuncAnimation(fig, update_plot, init_func=init,
blit=False, interval=300, frames=range(total))
ani.save("ani.gif", writer="imagemagick")
plt.show()
I have the following code snippet to illustrate the issue:
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import time
import random
# Mock categories
categories = ["cat1", "cat2", "cat3", "cat4"]
counter = 0
# Plot
x_data = []
y_data = []
plt.ion()
fig = plt.figure()
subplt = fig.add_subplot(312)
subplt_line, = subplt.plot(x_data, y_data, 'b.')
while True:
time.sleep(0.1) # simulate some delay that occurs in the actual application
x_data.append(counter)
subplt_line.set_xdata(x_data)
counter += 1
# y_data.append(random.randrange(1, 15)) # This works fine (except the scaling)
y_data.append(random.choice(categories)) # This will end in an exception
subplt_line.set_ydata(y_data)
# Update the plot
fig.canvas.draw()
fig.canvas.flush_events()
It will end in an exception like this:
Traceback (most recent call last):
File "test.py", line 36, in <module>
fig.canvas.draw()
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/backends/backend_tkagg.py", line 12, in draw
super(FigureCanvasTkAgg, self).draw()
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/backends/backend_agg.py", line 437, in draw
self.figure.draw(self.renderer)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/figure.py", line 1493, in draw
renderer, self, artists, self.suppressComposite)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/axes/_base.py", line 2635, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/image.py", line 141, in _draw_list_compositing_images
a.draw(renderer)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/artist.py", line 55, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/lines.py", line 738, in draw
self.recache()
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/lines.py", line 656, in recache
yconv = self.convert_yunits(self._yorig)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/artist.py", line 200, in convert_yunits
return ax.yaxis.convert_units(y)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/axis.py", line 1526, in convert_units
ret = self.converter.convert(x, self.units, self)
File "/anaconda3/envs/xxx/lib/python2.7/site-packages/matplotlib/category.py", line 65, in convert
unit.update(values)
AttributeError: 'NoneType' object has no attribute 'update'
I seems like the combination of categorcal y data and the interactivity is causing this. When using numerical values it works fine, and when using the non-interactive feature it works well even with the categorical axis.
Another issue is be the automatic scaling of the y axis. New values added via set_y_data() dot seem to trigger this.
The plot will visualize analysis done on an endless stream of data and is used like a dashboard - therefore the plot should update with each iteration of the loop.
I couldn't run your code using the while loop, but I would suggest using FuncAnimation to create self-updating graphs anyway (there are plenty of examples on SO and online).
I believe your problem is with the initialization of the Line2D object. When you're passing any empty y-array, matplotlib seem to assume you're going to use numerical and not categorical values. Initializing the line with a string as a y-value seem to do the trick. You'll have to adjust the code so that the first point created makes sense for your data, but that should only be a minor annoyance.
For the scaling of the axis, matplotlib adds each category to a new integer value, so you need only to count how many categories you have in your data to know what is the extent of the axes.
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.animation as animation
import random
# Mock categories
categories = ["cat1", "cat2", "cat3", "cat4"]
counter = 0
# Plot
x_data = [0]
y_data = ['cat1']
fig = plt.figure()
subplt = fig.add_subplot(312)
subplt_line, = subplt.plot(x_data, y_data, 'b.-')
debug_text = fig.text(0, 1, "TEXT", va='top') # for debugging
def init():
subplt_line.set_data([0],['cat1'])
def animate(num, ax):
new_x, new_y = num, random.choice(categories)
debug_text.set_text('{:d} {:s}'.format(num, new_y))
x, y = subplt_line.get_data()
x = np.append(x, new_x)
y = np.append(y, new_y)
subplt_line.set_data(x,y)
ax.set_xlim(min(x),max(x))
ax.set_ylim(0,len(np.unique(y))-1)
return subplt_line,debug_text
ani = animation.FuncAnimation(fig, animate, fargs=[subplt], init_func=init, frames=20, blit=False, repeat=False)
plt.show()
I've got a problem with programming live - changing plot and histogram from csv file, where the data is saved - the record contains date ('%Y-%M-%D %H:%m:%S') and the time seperated, by tabulator sign '\t'.
However, I was searching through several toturials and documentation and simply can't fix it. Below, there are links I came across:
https://github.com/etsy/skyline/issues/123
How to fix AttributeError: 'Series' object has no attribute 'find'?
https://docs.python.org/3.4/library/datetime.html
Python/Numpy: problems with type conversion in vectorize and item
I did not find answer there and other similar websites, including sentdex toturials on YT. The code below is going to be compiled and used at Raspberry Pi 3 B+, but it was created on Ubuntu OS on standard PC - this code works perfectly there:
import serial
import pandas as pd
import matplotlib.pyplot as plt
import csv
import datetime
import matplotlib.animation as animation
fig, axes = plt.subplots(nrows=1, ncols=2)
ax1, ax2 = axes.flatten()
def update(i):
file_data = pd.read_csv("/home/pi/Desktop/score_board3", delimiter="\t",
parse_dates=[0], header=None, usecols=[0, 1])
ax1.clear()
ax2.clear()
ax1.plot(file_data[0].astype(float), file_data[1])
ax2.hist([file_data[1],], bins='auto', histtype='bar', facecolor='#FF8C00', edgecolor='red')
ax1.set_title('History')
ax1.set_xlabel('Measurement time')
ax1.set_ylabel('Reaction time [s]')
ax2.set_title('Histogram')
ax2.set_xlabel('Reaction time [s]')
ax2.set_ylabel('Number of results')
ani = animation.FuncAnimation(fig, update, interval=1000)
plt.show()
arduino = serial.Serial('/dev/ttyACM0', 9600)
file = open ('/home/pi/Desktop/Noc_Naukowcow/score_board3', 'r+')
try:
while True:
file.read(1)
new_score = arduino.readline()
print(new_score)
score = new_score.decode('utf-8').strip() + "\n"
score_time = '{:%Y-%M-%D %H:%m:%S}'.format(datetime.datetime.now())
file.write(score_time)
file.write('\t')
file.write(score)
file.flush()
except KeyboardInterrupt:
print("KeyboardInterrupt has been caught.")
file.close()
scores_to_read.close()
After compiling that code, I receive a lot of errors found:
Exception in Tkinter callback
Traceback (most recent call last):
File "/usr/lib/python3.5/tkinter/__init__.py", line 1562, in __call__
return self.func(*args)
File "/usr/lib/python3/dist-packages/matplotlib/backends/backend_tkagg.py", line 280, in resize
self.show()
File "/usr/lib/python3/dist-packages/matplotlib/backends/backend_tkagg.py", line 351, in draw
FigureCanvasAgg.draw(self)
File "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py", line 464, in draw
self.figure.draw(self.renderer)
File "/usr/lib/python3/dist-packages/matplotlib/artist.py", line 63, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/lib/python3/dist-packages/matplotlib/figure.py", line 1150, in draw
self.canvas.draw_event(renderer)
File "/usr/lib/python3/dist-packages/matplotlib/backend_bases.py", line 1815, in draw_event
self.callbacks.process(s, event)
File "/usr/lib/python3/dist-packages/matplotlib/cbook.py", line 549, in process
proxy(*args, **kwargs)
File "/usr/lib/python3/dist-packages/matplotlib/cbook.py", line 416, in __call__
return mtd(*args, **kwargs)
File "/usr/lib/python3/dist-packages/matplotlib/animation.py", line 831, in _start
self._init_draw()
File "/usr/lib/python3/dist-packages/matplotlib/animation.py", line 1490, in _init_draw
self._draw_frame(next(self.new_frame_seq()))
File "/usr/lib/python3/dist-packages/matplotlib/animation.py", line 1512, in _draw_frame
self._drawn_artists = self._func(framedata, *self._args)
File "/home/pi/Desktop/kod testowy.py", line 16, in update
parse_dates=[0], header=None, usecols=[0, 1])
File "/home/pi/.local/lib/python3.5/site-packages/pandas/io/parsers.py", line 678, in parser_f
return _read(filepath_or_buffer, kwds)
File "/home/pi/.local/lib/python3.5/site-packages/pandas/io/parsers.py", line 440, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "/home/pi/.local/lib/python3.5/site-packages/pandas/io/parsers.py", line 787, in __init__
self._make_engine(self.engine)
File "/home/pi/.local/lib/python3.5/site-packages/pandas/io/parsers.py", line 1014, in _make_engine
self._engine = CParserWrapper(self.f, **self.options)
File "/home/pi/.local/lib/python3.5/site-packages/pandas/io/parsers.py", line 1756, in __init__
_validate_usecols_names(usecols, self.names)
File "/home/pi/.local/lib/python3.5/site-packages/pandas/io/parsers.py", line 1134, in _validate_usecols_names
"columns expected but not found: {missing}".format(missing=missing)
ValueError: Usecols do not match columns, columns expected but not found: [1]
UPDATE:
I think I've just overcame that problem using thread library. However I need to figure out how to set up them together:
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import serial
import datetime
import threading
fig, axes = plt.subplots(nrows=2, ncols=1)
ax1, ax2 = axes.flatten()
scores_to_read = serial.Serial ('/dev/ttyACM0', 9600)
file = open ("/home/pi/Desktop/Noc_Naukowcow/score_board.csv", 'r+')
def update(i):
file_data = pd.read_csv("/home/pi/Desktop/Noc_Naukowcow/score_board.csv", delimiter="\t",
parse_dates=[0], header=None, usecols=[0, 1])
ax1.clear()
ax2.clear()
ax1.plot(file_data[0],file_data[1])
ax2.hist([file_data[1],], bins='auto', histtype='bar')
#ax1.set_title('History')
ax1.set_xlabel('Measurement time')
ax1.set_ylabel('Reaction time [s]')
#ax2.set_title('Histogram')
ax2.set_xlabel('Reaction time [s]')
ax2.set_ylabel('Number of results')
ani = animation.FuncAnimation(fig, update, interval=1000)
plt.plot()
def serial_port(file):
file.read()
new_score = scores_to_read.readline()
print(new_score)
score = new_score.decode('utf-8').strip() + "\n"
score_time = '{:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now())
file.write(score_time)
file.write('\t')
file.write(score)
file.flush()
thread1 = threading.Thread(target=serial_port, args=(file))
thread1.start()
I am trying to animate a 3D scatter plot using mplotlib in Python. I am able to graph the data and redraw every time, but this results in a frame rate of less than 1 FPS, and I need to scale to upwards of 30 FPS. When I run my code:
import serial
import numpy
import matplotlib.pyplot as plt #import matplotlib library
from mpl_toolkits.mplot3d import Axes3D
from drawnow import *
import matplotlib.animation
import time
ser = serial.Serial('COM7',9600,timeout=5)
ser.flushInput()
time.sleep(5)
ser.write(bytes(b's1000'))
x=list()
y=list()
z=list()
#plt.ion()
fig = plt.figure(figsize=(16,12))
ax = fig.add_subplot(111, projection="3d")
graph = ax.scatter(x,y,z, c='r',marker='o')
ax.set_xlim3d(-255, 255)
ax.set_ylim3d(-255, 255)
ax.set_zlim3d(-255, 255)
def generate():
while True:
try:
ser_bytes = ser.readline()
data = str(ser_bytes[0:len(ser_bytes)-2].decode("utf-8"))
xyz = data.split(", ")
dx = float(xyz[0])
dy = float(xyz[1])
dz = float(xyz[2].replace(";",""))
x.append(dx);
y.append(dy);
z.append(dz);
graph._offset3d(x,y,z, c='r',marker='o')
except:
print("Keyboard Interrupt")
ser.close()
break
return graph,
ani = matplotlib.animation.FuncAnimation(fig, generate(), interval=1, blit=True)
plt.show()
I get the following error:
Traceback (most recent call last):
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\cbook\__init__.py", line 388, in process
proxy(*args, **kwargs)
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\cbook\__init__.py", line 228, in __call__
return mtd(*args, **kwargs)
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\animation.py", line 1026, in _start
self._init_draw()
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\animation.py", line 1750, in _init_draw
self._draw_frame(next(self.new_frame_seq()))
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\animation.py", line 1772, in _draw_frame
self._drawn_artists = self._func(framedata, *self._args)
TypeError: 'tuple' object is not callable
Traceback (most recent call last):
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\cbook\__init__.py", line 388, in process
proxy(*args, **kwargs)
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\cbook\__init__.py", line 228, in __call__
return mtd(*args, **kwargs)
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\animation.py", line 1308, in _handle_resize
self._init_draw()
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\animation.py", line 1750, in _init_draw
self._draw_frame(next(self.new_frame_seq()))
File "C:\Users\bunti\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\animation.py", line 1772, in _draw_frame
self._drawn_artists = self._func(framedata, *self._args)
TypeError: 'tuple' object is not callable
I am receiving x, y, z coordinates from a lidar module connected to an Arduino, which sends the coordinates over serial to the Python script.
A possible problem with your code is that the animation function (generate) is not supposed to run in an infinite loop. Furthermore, you are supposed to pass a reference to that function to FuncAnimate, but instead you are calling the function (i.e. you need to omit the parentheses in FuncAnimation(..., generate, ...)
The second problem is that you are treating graph._offset3d as if it was a function, when it is merely a tuple of lists. You should assign a new tuple to it, instead of trying to call the function (which I believe is what the error message alludes to).
I simplified your code and the following works fine:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.animation as animation
def update_lines(num):
dx, dy, dz = np.random.random((3,)) * 255 * 2 - 255 # replace this line with code to get data from serial line
text.set_text("{:d}: [{:.0f},{:.0f},{:.0f}]".format(num, dx, dy, dz)) # for debugging
x.append(dx)
y.append(dy)
z.append(dz)
graph._offsets3d = (x, y, z)
return graph,
x = [0]
y = [0]
z = [0]
fig = plt.figure(figsize=(5, 5))
ax = fig.add_subplot(111, projection="3d")
graph = ax.scatter(x, y, z, color='orange')
text = fig.text(0, 1, "TEXT", va='top') # for debugging
ax.set_xlim3d(-255, 255)
ax.set_ylim3d(-255, 255)
ax.set_zlim3d(-255, 255)
# Creating the Animation object
ani = animation.FuncAnimation(fig, update_lines, frames=200, interval=50, blit=False)
plt.show()
I have installed ffmpeg and added it to path, and checked it works in command prompt, but I am still unable to save animations. I have tried creating a sin wave that will animate when I don't try to save it, but throws an error when I do to demonstrate;
from __future__ import division
import numpy as numpy
from matplotlib import pyplot as pyplot
from matplotlib import animation
fig = pyplot.figure()
ax = pyplot.axes(xlim=(0, 2), ylim=(-2, 2))
line, = ax.plot([], [], lw=2)
def init():
line.set_data([], [])
return line,
def animate(i):
x = numpy.linspace(0, 2, 1000)
y = numpy.sin(2 * numpy.pi * (x - 0.01 * i))
line.set_data(x, y)
return line,
anim = animation.FuncAnimation(fig, animate, init_func=init, frames=200,
interval=20, blit=True, repeat=False)
FFwriter = animation.FFMpegWriter()
anim.save('animation_testing.mp4', writer = FFwriter)
pyplot.show()
When I try to run this it throws the same errors over and over again, I assume as it iterates through each frame;
Traceback (most recent call last):
File "c:\users\james\appdata\local\enthought\canopy\user\lib\site-
packages\matplotlib\backends\backend_wx.py", line 212, in _on_timer
TimerBase._on_timer(self)
File "c:\users\james\appdata\local\enthought\canopy\user\lib\site-
packages\matplotlib\backend_bases.py", line 1273, in _on_timer
ret = func(*args, **kwargs)
File "c:\users\james\appdata\local\enthought\canopy\user\lib\site-
packages\matplotlib\animation.py", line 910, in _step
still_going = Animation._step(self, *args)
File "c:\users\james\appdata\local\enthought\canopy\user\lib\site-
packages\matplotlib\animation.py", line 769, in _step
self._draw_next_frame(framedata, self._blit)
File "c:\users\james\appdata\local\enthought\canopy\user\lib\site-
packages\matplotlib\animation.py", line 787, in _draw_next_frame
self._pre_draw(framedata, blit)
File "c:\users\james\appdata\local\enthought\canopy\user\lib\site-
packages\matplotlib\animation.py", line 800, in _pre_draw
self._blit_clear(self._drawn_artists, self._blit_cache)
File "c:\users\james\appdata\local\enthought\canopy\user\lib\site-
packages\matplotlib\animation.py", line 840, in _blit_clear
a.figure.canvas.restore_region(bg_cache[a])
KeyError: <matplotlib.axes._subplots.AxesSubplot object at 0x0000000009C04DD8>
Since it mentioned an error in _blit_clear I tried changing blit to False in FuncAnimation, but then it wouldn't animate in the pyplot.show() when I didn't try to save.
I'm unsure as to where the error could be and so can't work out how to fix this.
I'm using Windows 10, python 2.7.6 and matplotlib version 1.4.2
Many Thanks!
Adding;
pyplot.switch_backend('backend')
where backend is either TkAgg or Qt4Agg solved my problem.
Thank you to ImportanceOfBeingErnest for solving this for me!