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@Matthew-J-Payne
Description
Hey contextily, thanks for all your work for this library - really great.
Apologies for the gigantic .pngs!
So when I visualise a plot using contextily.add_basemap(), when viewing the plot using jupyter inline, I get a nice unwrapped attribution (showing you via windows snipping tool, hence low dpi), which I would like to be reflected when the .png is saved:
But, when saving I get this:
My script, below:
import geopandas as gpd
import contextily as ctx
rivers_shapefile = gpd.read_file('datasets/rivers.shp')
rivers_shapefile['class'] = 'rivers'
fig, ax = plot.subplots(figsize = (8, 8))
rivers_shapefile.plot(column = 'class',
ax = ax,
cmap = 'bwr',
linewidth = 0.6,
zorder = 4,
alpha = 0)
ctx.add_basemap(ax = ax,
source = ctx.providers.CartoDB.Voyager,
zorder = 1,
zoom = 8,
attribution = "© OpenStreetMap contributors 2023. Distributed under the Open Data Commons Open Database License (ODbL) v1.0",
attribution_size = 6,
crs = 32649)
ax.xaxis.set_major_locator(plot.MaxNLocator(4))
ax.yaxis.set_major_locator(plot.MaxNLocator(4))
custom_xticklabels_4 = ["0", "114.1°E", "114.6°E", "115.1°E", "115.6°E"]
custom_yticklabels_4 = ["0", "2.7°N", "3.3°N" , "3.8°N", "4.3°N"]
ax.set_xticklabels(custom_xticklabels_4)
ax.set_yticklabels(custom_yticklabels_4)
fig.savefig(fname = "outputs/for_pr.png", dpi = 1200, facecolor = "white", bbox_inches = "tight")
plot.show() # plots for debugging, defaults to low res plot
The plot is for a paper in review, so I can't publicly share the data, but happy to send across.
Contextily version is 1.3.0 and geopandas 0.12.2.
Any pointers in the right direction is appreciated, thank you!
All the best,
Matt
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