[Feature request] Adding ticks to geographic plots

[664787022]

Thanks, @cvanelteren , for your continued development of Proplot into Ultraplot

Adding ticks to geographic plots is a practical feature in geoscience studies.

Although this feature was requested in Proplot, it was not merged into the codebase, see Support adding tick marks to geographic plots

Hopefully, @cvanelteren can add this feature to Ultraplot !

[cvanelteren]

I believe this is already possible:

import ultraplot as uplt, numpy as np

fig, axs = uplt.subplots(proj="cyl")
axs.format(
    land=True,
    labels=True,
    lonlines=20,
    latlines=20,
    gridminor=False,
    lonlim=(-140, 60),
    latlim=(-10, 50),
)
uplt.show(block=1)

[cvanelteren]

Or more succinctly:

import ultraplot as uplt, numpy as np
from itertools import product

fig, axs = uplt.subplots(ncols=2, nrows=2, proj="cyl")

settings = dict(
    land=True,
    labels=True,
    lonlines=20,
    latlines=20,
    lonlim=(-140, 60),
    latlim=(-10, 50),
)
for idx, (gridminor, gridmajor) in enumerate(product([True, False], [True, False])):
    settings["gridminor"] = gridminor
    settings["grid"] = gridmajor
    axs[idx].format(**settings)
uplt.show(block=1)

[cvanelteren]

But perhaps I am missing something (not a geoscientist ;-)).

[cvanelteren]

Ah wait I read this wrong, you want the ticklens not the grid to change.

[664787022]

Ah wait I read this wrong, you want the ticklens not the grid to change.

Yes, ticks in geographic plots are used more frequently than gridlines, at least in my field. They help keep the map clean and visually appealing by avoiding clutter from multiple gridlines.

In some cases, we need to overlap contours. If we use gridlines simultaneously, there will be toooo many lines in the map.

[cvanelteren]

working on it ;-)

[cvanelteren]

Is the attached img in #126 what you had in mind?

[664787022]

Is the attached img in #126 what you had in mind?

Yes！ It looks great！ but im not sure if it goes well when using polar axes. For example uplot.subplot(proj="aeqd")

[cvanelteren]

Do you have an example of how that would look like for polar axes? The ticks won't be equally spaced I am assuming.

[cvanelteren]

TypeError: Cannot label AzimuthalEquidistant gridlines. Only PlateCarree gridlines are currently supported.

I think the labelling is non-trivial. This error is produced by cartopy when I attempt to force labeling on non PlateCarree projections. Will do some more digging to see if this can be achieved.

[cvanelteren]

I'm super confused how the tickers are handled by matplotlib. The issue seems that for the projection above that the range is so big that it attempts to parse it evenly which generates too many ticks for matplotlib too handle. I attempted to limit these by overriding the ticker, but most function internally to matplotlib revert this conversion by making its own ticker which prevent passing parameters that could limit the tick locations and hence the error.

I am not too familiar with the internals of cartopy and how they divide these ranges. Luke also ran into this issue judging from the link above.

Input is appreciated on the PR.

[664787022]

TypeError: Cannot label AzimuthalEquidistant gridlines. Only PlateCarree gridlines are currently supported.

I think the labelling is non-trivial. This error is produced by cartopy when I attempt to force labeling on non PlateCarree projections. Will do some more digging to see if this can be achieved.

Cartopy does not seem to support adding ticks for non-rectangular projections. I'm not sure whether it's possible to add ticks in a polar projection. However, we can now use ax.format(lontick=True, lattick=True) with ccrs.PlateCarree(), which I believe meets the needs of most use cases :-)

[cvanelteren]

Are there any flat projections missing from the PR? See the function _is_flat_projection. Currently I have these:

    flat_names = [
        "PlateCarree",
        "Mercator",
        "LambertCylindrical",
        "Miller",
        "Robinson",
        "Mollweide",
        "EqualEarth",
    ]
    flat_names_basemap = [
        "basemap",
        "merc",
        "cyl",
        "rectilinear",
        "rect",
        "tmerc",
        "mill",
        "unknown",  # not sure why this is created on basemap but assume it is flat
    ]

[664787022]

Are there any flat projections missing from the PR? See the function _is_flat_projection. Currently I have these:

flat_names = [
    "PlateCarree",
    "Mercator",
    "LambertCylindrical",
    "Miller",
    "Robinson",
    "Mollweide",
    "EqualEarth",
]
flat_names_basemap = [
    "basemap",
    "merc",
    "cyl",
    "rectilinear",
    "rect",
    "tmerc",
    "mill",
    "unknown",  # not sure why this is created on basemap but assume it is flat
]

I am not sure what "flat projection" refers to, but similar to Robinson, there are Hammer, Aitoff. You can find more in this cartopy projection list