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I am trying to visualize two PMTiles layers using leafmap, and for some reason, the below code is not working without any error messages. Any hints? import leafmap.foliumap as leafmap
parcel_url = 'https://lidar.digitalforestry.org/vt/in/2022/IN2022-Parcels.pmtiles'
parcel_metadata = leafmap.pmtiles_metadata(parcel_url)
print(f"layer names: {parcel_metadata['layer_names']}")
print(f"bounds: {parcel_metadata['bounds']}")
ap_url = 'https://lidar.digitalforestry.org/vt/in/2022/IN2022-Address_Points.pmtiles'
ap_metadata = leafmap.pmtiles_metadata(ap_url)
print(f"layer names: {ap_metadata['layer_names']}")
print(f"bounds: {ap_metadata['bounds']}")
m = leafmap.Map(center=[37, -88], zoom=6, height='800px')
m.add_basemap('CartoDB.DarkMatter')
m.add_basemap('Esri.WorldImagery', show=False)
parcel_style = {
"version": 8,
"sources": {
"parcel_source": {
"type": "vector",
"url": "pmtiles://" + parcel_url,
"attribution": 'PMTiles',
}
},
"layers": [
{
"id": "parcel",
"source": "parcel_source",
"source-layer": "in2022_parcels",
"type": "fill",
"paint": {"fill-color": "#3388ff", "fill-opacity": 0.5},
},
],
}
ap_style = {
"version": 8,
"sources": {
"ap_source": {
"type": "vector",
"url": "pmtiles://" + ap_url,
"attribution": 'PMTiles',
}
},
"layers": [
{
"id": "in2022_address_points",
"source": "ap_source",
"source-layer": "in2022_address_points",
"type": "circle",
"paint": {
"circle-radius": 3,
"circle-color": "#0000ff"
},
},
],
}
m.add_pmtiles(
parcel_url, name='Parcels', style=parcel_style, overlay=True, show=True, zoom_to_layer=False
)
m.add_pmtiles(
ap_url, style=ap_style, name='Address Points', overlay=True, show=True, zoom_to_layer=False
)
m |
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Answered by
giswqs
Nov 13, 2023
Replies: 4 comments 10 replies
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It appears that the folium backend has some issues with multiple layers. I don't have a solution yet. If you install the pmtiles branch from my ipyleaflet repo, it can support multiple layers. I am not sure when ipyleaflet will accept my PR jupyter-widgets/ipyleaflet#1138 pip install git+https://github.com/giswqs/ipyleaflet.git@pmtilesimport leafmap
m = leafmap.Map()
parcel_url = 'https://lidar.digitalforestry.org/vt/in/2022/IN2022-Parcels.pmtiles'
ap_url = 'https://lidar.digitalforestry.org/vt/in/2022/IN2022-Address_Points.pmtiles'
parcel_style = {
"version": 8,
"sources": {
"example_source": {
"type": "vector",
"url": "pmtiles://" + parcel_url,
"attribution": 'PMTiles',
}
},
"layers": [
{
"id": "in2022_parcels",
"source": "example_source",
"source-layer": "in2022_parcels",
"type": "fill",
"paint": {"fill-color": "#3388ff", "fill-opacity": 0.5},
},
],
}
ap_style = {
"version": 8,
"sources": {
"ap_source": {
"type": "vector",
"url": "pmtiles://" + ap_url,
"attribution": 'PMTiles',
}
},
"layers": [
{
"id": "in2022_address_points",
"source": "ap_source",
"source-layer": "in2022_address_points",
"type": "circle",
"paint": {
"circle-radius": 3,
"circle-color": "#0000ff"
},
},
],
}
m.add_pmtiles(
parcel_url, name='PMTiles', style=parcel_style, overlay=True, show=True, zoom_to_layer=True
)
m.add_pmtiles(
ap_url, style=ap_style, name='Address Points', overlay=True, show=True, zoom_to_layer=True
)
m
|
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6 replies
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I am getting an error message when installing your ipyleaflet repo. Below is the error message that I got. I am running this command inside the virtual environment where I have installed leafmap installed before. |
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Seems the pyzmq package is causing the issue. Try Another workaround is to put your data (point, polygon, etc.) within the same PMTiles. In this way, you can visualize the layers using the folium backend. Like this example: |
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It seems that Python version does matter. I was using Python=3.12 in the earlier try and that's when I had problem installing your ipyleaflet repo. I tried to create a new virtual environment with Python=3.11 and all the installation went well. However, I am still getting an error message after installing your ipyleaflet repo using the command line you suggested. Which Python version you used to test your code above? |
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I use Python 3.11. |
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That's werid. Can you give a command line sequence that you did to test the above code? Below is the one that I did. Then, tested the code you have above, but it still complains that ipyleaflet does not have PMTiles support. |
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The installation sequence probably cause this issue. Here is how I installed it. Install the pmtiles branch first, then install leafmap. Otherwise, the git installation might not overwrite the the existing ipyleaflet that comes with leafmap. I will see if I can publish the pmtiles branch as a PyPI package so that the installation is eaiser. conda create -n pm python=3.11
conda activate pm
pip install git+https://github.com/giswqs/ipyleaflet.git@pmtiles
pip install leafmap pmtiles jupyterlab
jupyter lab
|
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3 replies
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Thanks a lot. It works great on my end as well. Only thing I had to do additional is to install |
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Glad to hear that you got it to work. I really hope that ipyleaflet could accept that PR and release a new version. That would make our life much easier. I just published the branch on PyPI. It does not seem to work because the package name has changed. I will keep exploring. |
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I am presenting tomorrow in Indiana GIS day and I will introduce this to the IGIC group. 😄 |
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Answer selected by
giswqs
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I have published the ipyleaflet wheel here. It should now be easier to install it without having to complie the source code. It should work out of the box. conda create -n pm python=3.11
conda activate pm
pip install https://github.com/opengeos/data/releases/download/v1.0.0/ipyleaflet-0.17.4-py3-none-any.whl
pip install leafmap pmtiles jupyterlab
jupyter lab |
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0 replies
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@jinha v0.29.8 now supports rendering multiple layers with the folium backend. ipyleaflet also support visualizing PMTiles now. |
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1 reply
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Thanks for letting me know. I will test it out. |
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The installation sequence probably cause this issue. Here is how I installed it. Install the pmtiles branch first, then install leafmap. Otherwise, the git installation might not overwrite the the existing ipyleaflet that comes with leafmap. I will see if I can publish the pmtiles branch as a PyPI package so that the installation is eaiser.