[BUG] plot2d_full does not work properly on Int axes

[Luis Fariña]

Describe the bug

Calling plot2d_full on an (Int,Int)-axes hist produces a garbled side axis.

Also, there is no documentation on how to add a title to a plot2d_full plot.

Steps to reproduce

An example that highlights the broken behaviour. Include OS and system info if relevant.

Reproduce: try this:

h = Hist(
    Hist.new.Int(-5, 5, name="S", label="s [units]", flow=False)
    .Int(-5, 5, name="W", label="w [units]", flow=False)
    .Double()
)
s_data = np.random.normal(size=100_000) + np.ones(100_000)
w_data = np.random.normal(size=100_000)

# normal fill
h.fill(s_data, w_data)

plt.figure(figsize=(8, 8))

h.plot2d_full(
)

plt.show()

[Henry Schreiner]

Few quick tips: No need to wrap Hist.new.<axes>.Double() in Hist(), it's already a Hist! :) You can also use np.random.normal(loc=1, size=100_000) instead of np.random.normal(size=100_000) + np.ones(100_000) to save an addition and temporary memory allocation.

import matplotlib.pyplot as plt
import numpy as np
from hist import Hist

h = (
    Hist.new.Int(-5, 5, name="S", label="s [units]", flow=False)
    .Int(-5, 5, name="W", label="w [units]", flow=False)
    .Double()
)

np.random.seed(42)
s_data = np.random.normal(loc=1, size=100_000)
w_data = np.random.normal(size=100_000)

# normal fill
h.fill(s_data, w_data)

fig = plt.figure(figsize=(8, 8))
fig.suptitle("This is a plot", fontsize=16)

h.plot2d_full()

plt.show()

Now I'm not sure why the right counts tick labels (which I think doesn't have anything to do with the Int-Int main plot?) is all smashed into one spot. That's possibly buggy. Actually, filling this with doubles looks buggy too, will investigate.

[Luis Fariña]

Thanks for the tips.
Small update: the tick labels above "Counts" are the same tick labels in th y axis of the 2D plot, which is what is causing it to appear garbled.