I have a bar graph which retrieves its y values from a dict. Instead of showing several graphs with all the different values and me having to close every single one, I need it to update values on the same graph. Is there a solution for this?
Create a new figure or activate an existing figure. Make a list of data points and colors. Plot the bars with data and colors, using bar() method. Using FuncAnimation() class, make an animation by repeatedly calling a function, animation, that sets the height of the bar and facecolor of the bars.
After that we are initializing GUI using plt. ion() function, now we have to create a subplot. After that, we are running a for loop and create new_y values which hold our updating value then we are updating the values of X and Y using set_xdata() and set_ydata().
There are three ways to customize Matplotlib: Setting rcParams at runtime. Using style sheets. Changing your matplotlibrc file.
Here is an example of how you can animate a bar plot.
You call plt.bar
only once, save the return value rects
, and then call rect.set_height
to modify the bar plot.
Calling fig.canvas.draw()
updates the figure.
import matplotlib
matplotlib.use('TKAgg')
import matplotlib.pyplot as plt
import numpy as np
def animated_barplot():
# http://www.scipy.org/Cookbook/Matplotlib/Animations
mu, sigma = 100, 15
N = 4
x = mu + sigma*np.random.randn(N)
rects = plt.bar(range(N), x, align = 'center')
for i in range(50):
x = mu + sigma*np.random.randn(N)
for rect, h in zip(rects, x):
rect.set_height(h)
fig.canvas.draw()
fig = plt.figure()
win = fig.canvas.manager.window
win.after(100, animated_barplot)
plt.show()
I've simplified the above excellent solution to its essentials, with more details at my blogpost:
import numpy as np
import matplotlib.pyplot as plt
numBins = 100
numEvents = 100000
file = 'datafile_100bins_100000events.histogram'
histogramSeries = np.loadtext(file)
fig, ax = plt.subplots()
rects = ax.bar(range(numBins), np.ones(numBins)*40) # 40 is upper bound of y-axis
for i in range(numEvents):
for rect,h in zip(rects,histogramSeries[i,:]):
rect.set_height(h)
fig.canvas.draw()
plt.pause(0.001)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With