Exporting chart as PNG does not include map tiles when a provider is specified about altair_tiles HOT 9 CLOSED

Interesting! OpenStreetMap.BlackAndWhite seems to have been deprecated leaflet-extras/leaflet-providers#316 and also does not show up for me in a notebook but the others are weird. I've opened vega/vl-convert#162 to investigate this further, thanks again! Hope the "Save as PNG" context menu works for you in the meantime.

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Thanks for the feedback Till! Do you have a minimal reproducible example I could test against? It works for me using the following code with Altair 5.3.0, altair_tiles 0.3.0, vl-convert-python 1.3.0:

import altair as alt
import altair_tiles as til
import geopandas as gpd

gdf_ne = gpd.read_file("https://naciscdn.org/naturalearth/110m/cultural/ne_110m_admin_0_countries.zip")  # zipped shapefile
extent_roi = gdf_ne.loc[gdf_ne["CONTINENT"] == "Africa", ["CONTINENT", "geometry"]]

chart = (
    alt.Chart(extent_roi)
    .mark_geoshape(fillOpacity=0.1, stroke="green", strokeWidth=2)
    .project(type="mercator")
)
chart = til.add_tiles(chart).properties(width=600, height=400)
chart.save("chart.png")

By the way, if you want to increase the resolution of the PNG you get from the context menu, you can run alt.renderers.set_embed_options(scaleFactor=3) and then display the chart again (rerun the notebook cell).

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Thanks for the quick response! It seems this does not work only if a provider is specified.

Works for me as well with your code from above. The following however creates a chart.png without a base map.

import altair as alt
import altair_tiles as til
import geopandas as gpd

gdf_ne = gpd.read_file("https://naciscdn.org/naturalearth/110m/cultural/ne_110m_admin_0_countries.zip")  # zipped shapefile
extent_roi = gdf_ne.loc[gdf_ne["CONTINENT"] == "Africa", ["CONTINENT", "geometry"]]

chart = (
    alt.Chart(extent_roi)
    .mark_geoshape(fillOpacity=0.1, stroke="green", strokeWidth=2)
    .project(type="mercator")
)
chart = til.add_tiles(chart, provider=til.providers.BaseMapDE.Grey).properties(width=600, height=400)
chart.save("chart.png")

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And thanks for the tip @binste to set the scaleFactor. Works like a charm.

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I think we're getting closer to the issue. Can you try it with a different provider such as OpenStreetMap.HOT? At least in this example, the basemap is also not included when displaying the chart. I think it's because BaseMapDE is just for Germany according to https://gdz.bkg.bund.de/index.php/default/gdz-basemapde-vektor-gdz-basemapde-vektor.html.

Some context to this: BaseMapDE will only work if we have a map of Germany. In addition, altair_tiles needs to ensure that only valid tiles are being loaded from the server, else no tiles at all will show up. This is happening at https://github.com/vega/altair_tiles/blob/main/altair_tiles/__init__.py#L281 in the code. However, I think right now it will even fail then, because the package xyzservices usually provides a bounds attribute on providers if they do not cover the whole world. However, BaseMapDE is missing that attribute.

Do you know by any chance which bounds are valid for BaseMapDE? I can't find anything on their website. We could then open an issue in the repo of xyzservices to include it.

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Weird, some work, some do not.

It does not seem to be related to the bounds (my actual map is in Germany; just for the MRE I used your example).

OpenStreetMap.HOT works
Esri.WorldGrayCanvas fails
BaseMapDE.Grey fails
OpenStreetMap.BlackAndWhite fails
OpenStreetMap.Mapnik works

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This has been fixed in vl-convert-python 1.4.0. The issue was that vl-convert was failing to handle tile providers that don't include file extensions in the url.

So https://tile.openstreetmap.org/{z}/{x}/{y}.png was working, but not https://server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}

See vega/vl-convert#163

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Thank you very much @jonmmease!! Really appreciate it.

@tillnagel could you check if this solves the issue you had with BaseMapDE.Grey?

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Works now. Great work @jonmmease! Thanks for the support and this great lib @binste!

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