Using matplotlib slider widget to change clim in image

Question

I have virtually no experience with python, but I am trying to create a simple script which loads an image and uses the slider widget to adjust the minimum and maximum of the co

Answer 1

According to the documentation, imshow returns a `matplotlib.image.AxesImage' object. When you put in that comma, Python assumes that the return type of the function is going to be something iterable (usually a tuple when you would be using this construction, but not necessarily) because Python lets you write code like this:

a = my_function() # a = (c, d)
a, b = my_function() # a = c, b = d

but

a, = my_function() # you should get an error

I'm not entirely sure what Python is putting in im1 without checking (but from your question I get the impression that writing im1,=... works while im1=... doesn't), but I suspect you are failing to draw the image for some reason. Does update actually get called? If it does, maybe try im1.draw() instead.

Answer 2

Mostly, you just had lots and lots of syntax problems.

For example, you were trying to unpack a single value (im1,=ax.imshow(im)) giving you the TypeError you mentioned in your question (as it should). You also set a function to a value when you meant to call it: (im1.set_clim=(smin.val,smax.val)).

Also, I removed the from pylab import * from your example. This is fine for interactive use, but please, please, please don't use it for actual code. It makes it very difficult to tell where the functions you're calling are coming from (and the pylab namespace, in particular, is huge by design. It should only be used for interactive use or quick one-use scripts.)

Here's a working example (using random data):

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.widgets import Slider, Button, RadioButtons

fig = plt.figure()
ax = fig.add_subplot(111)
fig.subplots_adjust(left=0.25, bottom=0.25)
min0 = 0
max0 = 25000

im = max0 * np.random.random((10,10))
im1 = ax.imshow(im)
fig.colorbar(im1)

axcolor = 'lightgoldenrodyellow'
axmin = fig.add_axes([0.25, 0.1, 0.65, 0.03], axisbg=axcolor)
axmax  = fig.add_axes([0.25, 0.15, 0.65, 0.03], axisbg=axcolor)

smin = Slider(axmin, 'Min', 0, 30000, valinit=min0)
smax = Slider(axmax, 'Max', 0, 30000, valinit=max0)

def update(val):
    im1.set_clim([smin.val,smax.val])
    fig.canvas.draw()
smin.on_changed(update)
smax.on_changed(update)

plt.show()