Evidently mailing lists like this are crippled by not being able to handle attachments. Here is the script inline:
···
=================================
import numpy as np
import matplotlib.pyplot as plt
def axes_inches(fig, rect, **kw):
"""
Wrapper for Figure.add_axes in which *rect* is given in inches.
The translation to normalized coordinates is done immediately
based on the present figsize.
*rect* is left, bottom, width, height in inches
*kw* are passed to Figure.add_axes
"""
fw = fig.get_figwidth()
fh = fig.get_figheight()
l, b, w, h = rect
relrect = [l / fw, b / fh, w / fw, h / fh]
ax = fig.add_axes(relrect, **kw)
return ax
# We will assume that the x and y data limits all start with 0.
# The actual data limits:
xranges = np.array([[0, 15], [0, 25], [0, 23]])
yranges = np.array([[0, 0.5], [0, 0.3], [0, 0.2]])
# Add margins:
xmranges = xranges + np.array([-0.5, 0.5])
ymranges = yranges + np.array([-0.05, 0.05])
# Scales in data units per inch:
xscale = 10 # so the max, 25, is 2.5 inches
yscale = 0.1 # so the max, 0.5, is 5 inches
# Separation in inches:
xsep = 0.4
# Force the y tick locations:
yticks = np.arange(0, 0.501, 0.1)
fig = plt.figure(figsize=(8.5, 7))
axs =
left, bottom = 0.5, 0.5 # Starting point in inches.
for xm, ym in zip(xmranges, ymranges):
w = (xm[1] - xm[0]) / xscale
h = (ym[1] - ym[0]) / yscale
ax = axes_inches(fig, (left, bottom, w, h))
ax.set_xlim(xm)
ax.set_ylim(ym)
ax.set_yticks(yticks[yticks < ym[-1]])
axs.append(ax)
left += (xsep + w)
plt.show()
============================
Eric
On 2019/09/19 10:39 AM, Paul Hobson wrote:
I don't think I understand your problem fully, but a GridSpec sounds like it'll fit the bill. We have a tutorial on it at our website. You'll probably get the most mileage out of the width_ratios and height_ratios parameters:
https://matplotlib.org/tutorials/intermediate/gridspec.html
On Thu, Sep 19, 2019 at 12:02 PM Bruno Pagani > <bruno.pagani@astrophysics.eu <mailto:bruno.pagani@astrophysics.eu>> wrote:
Hi there,
I’m trying to combine three graphs into one, but with some specific
constraints on the layout. The three graphs are having the same x and y
variables, but not over the same span. Each graph size should reflects
that (e.g. if a change of 1 on the x axis is 1 cm on one graph, so
should it be for the other ones). Also, I’d like the y label and ticks
labels to be shared amongst the three graphs. Same goes for the colorbar
(those are scatter plots) and the legend.
Attached are the three figures (.pdf), and what the combined version
should look like (target.png, but here it was obtained by removing parts
by hand and stretching everything to fit).
Below is some minimal code to produce three similarly looking graphs, if
someone has an idea (GridSpec?) for this, I should be able to adapt it
to my actual code:
import matplotlib.pyplot as plt
import numpy as np
plt.scatter(np.repeat(np.linspace(0,3.5,15)[:,None],11,axis=1),np.repeat(np.linspace(0,0.5,11)[None,:],15,axis=0),c=np.random.random((15,11)),label="Some
label")
plt.scatter(np.repeat(np.linspace(0,6,25)[:,None],11,axis=1),np.repeat(np.linspace(0,0.5,11)[None,:],25,axis=0),c=np.random.random((25,11)),marker='*',label="Some
other label")
plt.scatter(np.repeat(np.linspace(0,11,23)[:,None],11,axis=1),np.repeat(np.linspace(0,0.5,11)[None,:],23,axis=0),c=np.random.random((23,11)),marker='D',label="Yet
another label")
Regards,
Bruno
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