matplotlib.widgets.Slider with histogram

Question

I'm trying to make the interactive histogram but during

update old histogram is not been cleared, as shown in the image below.

)

above plot is generated using following code

from functools import lru_cache
import scipy.stats as ss
import matplotlib.pyplot as plt
import matplotlib.widgets as widgets

fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.25)

weight = ss.lognorm(0.23, 0, 70.8)

@lru_cache
def sampling(n):
    return [ weight.rvs().mean() for i in range(1000) ]

theme = {
    'color' : "#1f77b4",
    'alpha' : 0.7,
}

t = ax.hist(sampling(100), **theme)

slider = widgets.Slider(
    ax      = plt.axes([0.25, 0.1, 0.5, 0.03]),
    label   = "n",
    valmin  = 10,
    valmax  = 1000,
    valinit = 100,
    valstep = 1

def update(val):
    global t
    del t
    t = ax.hist(sampling(int(val)), **theme)
    fig.canvas.draw_idle()

slider.on_changed(update)
ax.set_title('Distribution of Sample Size Mean')
plt.show()

Andrew Micallef · Accepted Answer · 2020-05-28 10:17:38Z

3

ax.hist is returning a tuple containing the number of bins, the edges of the bins and then the patches... you thus need to capture the patches and remove them in update.

You need to use t.remove() in update, as in:

*_, patches = ax.hist()

def update(val):
    global patches
    for p in patches:
        p.remove()

    *_, patches = ax.hist(sampling(int(val)), **theme)
    fig.canvas.draw_idle()

edited May 28, 2020 at 10:17

answered May 28, 2020 at 10:06

Andrew Micallef

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7 Comments

rho Over a year ago

if i do that AttributeError: 'tuple' object has no attribute 'remove'', problem is t is a tuple and remove is not available.

Andrew Micallef Over a year ago

haha, my mistake, ax.hist() is returning a tuple, which yeah, is the problem.

Andrew Micallef Over a year ago

I got the inside scoop it seams. Does the above work for you?

rho Over a year ago

ya found out this post stackoverflow.com/questions/40409977/… i guess yours works too

Andrew Micallef Over a year ago

shame, looks like this'll be marked as a duplicate I guess. Also You really should turn t into a data class :P

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