Plot both oseries and stresses by default in data_availability plot

[Martin Vonk]

Currently the data_availability plots needs a library name (libname argument): "oseries" v "stresses"

pastastore/pastastore/plotting.py

Lines 210 to 226 in 28ea9f2

 def data_availability( 
     self, 
     libname, 
     names=None, 
     kind=None, 
     intervals=None, 
     ignore=("second", "minute", "14 days"), 
     ax=None, 
     cax=None, 
     normtype="log", 
     cmap="viridis_r", 
     set_yticks=False, 
     figsize=(10, 8), 
     progressbar=True, 
     dropna=True, 
     **kwargs, 
 ): 

I'd like to make the default None which plots both libraries in a plot like the one below. Here the oseries are plotted in the upper Axes, and stresses in the lower Axes and the colorbar is shared.

Thoughts @dbrakenhoff ?

[Martin Vonk]

fig, ax = plt.subplot_mosaic(
    [["oseries", "cax"], ["stresses", "cax"]],
    figsize=(12, (len(pstore.oseries) + len(pstore.stresses)) / 6),
    height_ratios=[len(pstore.oseries), len(pstore.stresses)],
    width_ratios=[10, 1],
)
pstore.plots.data_availability(
    "oseries",
    intervals=intervals,
    set_yticks=True,
    ax=ax["oseries"],
    cax=ax["cax"],
)
ax["oseries"].set_title("Grondwaterstanden", fontsize=10)

pstore.plots.data_availability(
    "stresses",
    intervals=intervals,
    set_yticks=True,
    ax=ax["stresses"],
    cax=ax["cax"],
)

ax["stresses"].set_xlim(
    left=pstore.get_tmin_tmax("oseries").tmin.min(),
    right=pstore.get_tmin_tmax("oseries").tmax.max(),
)

ax["stresses"].set_title("Oppervlaktewaterstanden en Meteorologie", fontsize=10)
fig.tight_layout()
fig.suptitle("Data Beschikbaarheid", y=1.01)

[Davíd Brakenhoff]

I'd add a method data_availability_all() and implement this option there.

[Martin Vonk]

Let's just leave it at is. I can just copy the code stated here, no need for an extra plot method.