Stack Overflow Asked by Maeror on December 7, 2021
I am trying to draw some “station” coordinates on the NYC map. I use Geopandas(gpd) to create a GeoDataFrame and create a NYC map from gpd.datasets with EPSG of 4326.
In addition, I wanted to add a background image to my map following the Geopandas tutorial (https://geopandas.org/gallery/plotting_basemap_background.html). However, this works on EPSG of 3857. Is there any way to maintain the information and change the EPSG?
Here is my codebase
# Creating GeoDataFrame
gdf = gpd.GeoDataFrame(stations, geometry=gpd.points_from_xy(stations.Longitude, stations.Latitude))
# Find the NYC Borough map from contextily pkg
nyc = gpd.read_file(gpd.datasets.get_path('nybb')).to_crs(epsg=4326)
ax = nyc.plot(figsize=(10,10), alpha=0.3, edgecolor="k")
# Contextily adding background image
def add_basemap(ax, zoom, url='http://tile.stamen.com/terrain/tileZ/tileX/tileY.png'):
xmin, xmax, ymin, ymax = ax.axis()
basemap, extent = ctx.bounds2img(xmin, ymin, xmax, ymax, zoom=zoom, url=url)
ax.imshow(basemap, extent=extent, interpolation='bilinear')
# restore original x/y limits
ax.axis((xmin, xmax, ymin, ymax))
add_basemap(ax, zoom=10, url='http://tile.stamen.com/toner-lite/tileZ/tileX/tileY.png')
# nyc.to_crs(epsg=4326)
gdf.plot(ax=ax, color="red")
ax.set_axis_off()
Yes there is. You can usually pass the EPSG information of your data to the add_basemap()
function of contextily, by
add_basemap(ax, crs=nyc.crs.to_string(), zoom=10, url='...')
The only thing required is, that you have set a proper CRS on your data.
In your case you probably should add the contextily.wrap_tiles()
function.
tr_basemap, tr_extent = ctx.wrap_tiles(basemap, extent, t_crs='EPSG:4326')
This should give you, what you want.
For further reading you can look here:
https://contextily.readthedocs.io/en/latest/warping_guide.html#Convert-the-tiles-to-your-data%E2%80%99s-CRS https://contextily.readthedocs.io/en/latest/reference.html
Answered by J. P. on December 7, 2021
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