CODEWITHSUNDEEP
matplotlibplot
jenkris
jenkris

Reputation: 1

update the plot data using matplotlib.figure in python

I would like to update the y-data in my 2 D plot without having to call 'plot' everytime

from matplotlib.figure import Figure
fig = Figure(figsize=(12,8), dpi=100) 

for num in range(500):
   if num == 0:
     fig1 = fig.add_subplot(111)
     fig1.plot(x_data, y_data)
     fig1.set_title("Some Plot")
     fig1.set_ylabel("Amplitude")
     fig1.set_xlabel("Time")

  else:
     #fig1 clear y data
     #Put here something like fig1.set_ydata(new_y_data), except that fig1 doesnt have set_ydata attribute`

I could clear and plot 500 times, but it would slow down the loop. Any other alternative?

Upvotes: 0

Views: 473

Answers (1)

tacaswell
tacaswell

Reputation: 87376

See http://matplotlib.org/faq/usage_faq.html#parts-of-a-figure for the description of the parts of an mpl figure.

If you are trying to create an animation, take a look at the matplotlib.animation module which takes care of most of the details for you.

You are creating the Figure object directly, so I am assuming that you know what you are doing and are taking care of the canvas creation elsewhere, but for this example will use the pyplot interface to create the figure/axes

import matplotlib.pyplot as plt

# get the figure and axes objects, pyplot take care of the cavas creation
fig, ax = plt.subplots(1, 1)  # <- change this line to get your axes object differently
# get a line artist, the comma matters
ln, = ax.plot([], [])
# set the axes labels
ax.set_title('title')
ax.set_xlabel('xlabel')
ax.set_ylabel('ylabel')

# loop over something that yields data
for x, y in data_source_iterator:
   # set the data on the line artist
   ln.set_data(x, y)
   # force the canvas to redraw
   ax.figure.canvas.draw()  # <- drop this line if something else manages re-drawing
   # pause to make sure the gui has a chance to re-draw the screen
   plt.pause(.1) # <-. drop this line to not pause your gui

Upvotes: 1

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