Question: is it possible to place colorbars into an empty axis without messing up the spacing between other subplots?

[Eisbrenner]

Hi,

I was wondering if I can put colorbars into a place where I have an axis free without messing up the spacing between other subplots (see example image and code below)?

A) original (as put out by the code below)

B) desired version (if somewhat similar is good enough, maybe someone has a better idea as what I am trying)

Thanks! Ezra

import proplot as pplt
import numpy as np

pplt.rc["figure.facecolor"] = "white"

coord_transform = 360
lon_0 = -50
lat_0 = 10

pplt.rc.reso = "hi"

lower = 1
nrows = 2 + lower
ncols = 3

fig = pplt.figure(figwidth="190mm")
gs = pplt.GridSpec(ncols=ncols, nrows=nrows)

geo_axs = [
    fig.subplot(
        gs[j, i],
    )
    for j, i in [
        (1, 0),
        (1, 1),
        (0, 2),
        (1, 2),
    ]
]
empty_axs = [fig.subplot(gs[j, i]) for j, i in [
        (0, 0),
        (0, 1),
    ]]
[ax.axis("off") for ax in empty_axs]

[ax.format(abc="A", abcloc="ul", abcbbox=True) for ax in geo_axs]

cbar_handles = {}
a = np.linspace(-1, 1)
T = np.outer(a, a)
cbar_handles[1] = geo_axs[0].contourf(T)
cbar_scatter = geo_axs[1].contourf(T)
cbar_handles[2] = geo_axs[2].contourf(T)

for latlabels, lonlabels, ax in zip(["l", "", "r", "r"], ["b", "b", "", "b"], geo_axs):
    ax.format(
        gridminor=True,
    )

empty_axs[0].colorbar(
    cbar_handles[1],
    loc="l",
    label="Temperature (\N{DEGREE SIGN}C)",
    ticks=0.5,
)
empty_axs[0].colorbar(
    cbar_scatter,
    loc="l",
    label="Bleaching (%)",
    ticks=20,
)
empty_axs[0].colorbar(
    cbar_handles[2],
    loc="l",
    label="Temperature difference (\N{DEGREE SIGN}C)",
    ticks=0.5,
)

ax = fig.subplot(
    gs[-lower:, :],
)
ax.format(abc="A", abcloc="ul", abcbbox=True, xticks=2)

color = pplt.scale_luminance("red9", 1.5)

px = ax.panel("t", space=0.5)
px.format(
    yticks=100,
    ylabelloc="right",
    ylabel="surveys",
    yticklabelloc="right",
    ytickloc="right",
    titleloc="ur",
)

[gepcel]

Have you got any solution?

[gepcel]

There maybe a bad way to do this,.

import proplot as pplt
import numpy as np

pplt.rc["figure.facecolor"] = "white"

coord_transform = 360
lon_0 = -50
lat_0 = 10

pplt.rc.reso = "hi"

lower = 1
nrows = 2 + lower
ncols = 3

fig = pplt.figure(figwidth="190mm")
gs = pplt.GridSpec(ncols=ncols, nrows=nrows)

geo_axs = [
    fig.subplot(
        gs[j, i],
    )
    for j, i in [
        (1, 0),
        (1, 1),
        (0, 2),
        (1, 2),
    ]
]
empty_axs = fig.subplot(gs[0, :2])
empty_axs.axis("off")

[ax.format(abc="A", abcloc="ul", abcbbox=True) for ax in geo_axs]

cbar_handles = {}
a = np.linspace(-1, 1)
T = np.outer(a, a)
cbar_handles[1] = geo_axs[0].contourf(T)
cbar_scatter = geo_axs[1].contourf(T)
cbar_handles[2] = geo_axs[2].contourf(T)

for latlabels, lonlabels, ax in zip(["l", "", "r", "r"], ["b", "b", "", "b"], geo_axs):
    ax.format(
        gridminor=True,
    )

ix_temperature = empty_axs.inset((.95, 0, .05, 1), transform='axes', zoom=False)
m = ix_temperature.colorbar(
    cbar_handles[1],
    loc="fill",
    width=0.1,
    orientation='vertical',
    label="Temperature (\N{DEGREE SIGN}C)",
    ticks=0.5,
)

ix_bleaching = empty_axs.inset((.75, 0, .05, 1), transform='axes', zoom=False)

ix_bleaching.colorbar(
    cbar_scatter,
    loc="fill",
    label="Bleaching (%)",
    ticks=20,
    orientation='vertical',
)
ix_temperature_difference = empty_axs.inset((.57, 0, .05, 1), transform='axes', zoom=False)

ix_temperature_difference.colorbar(
    cbar_handles[2],
    loc="fill",
    label="Temperature difference (\N{DEGREE SIGN}C)",
    ticks=0.5,
    orientation='vertical',
)

ax = fig.subplot(
    gs[-lower:, :],
)
ax.format(abc="A", abcloc="ul", abcbbox=True, xticks=2)

color = pplt.scale_luminance("red9", 1.5)

px = ax.panel("t", space=0.5)
px.format(
    yticks=100,
    ylabelloc="right",
    ylabel="surveys",
    yticklabelloc="right",
    ytickloc="right",
    titleloc="ur",
)