Solara•2y ago

https panel holoviz org gallery glaciers

https://panel.holoviz.org/gallery/glaciers.html I want to open files into Xarray datasets, rasterize and visualize them directly on top of a HPC file system. Interactive maps, cross selection dynamically defined and instanciated widgets all for geospatial data.

4 Replies

MaartenBreddels•2y ago

i cannot get this example to work, which version of panel, holoviews etc do i need for this? I translated a subset of that example to solara, to get an idea

MaartenBreddels•2y ago

MaartenBreddels•2y ago

import numpy as np
import pandas as pd
from holoviews.element.tiles import lon_lat_to_easting_northing

import solara
import solara.express as px

df = pd.read_parquet("https://datasets.holoviz.org/oggm_glaciers/v1/oggm_glaciers.parq")
df["latdeg"] = df.cenlat
df["x"], df["y"] = lon_lat_to_easting_northing(df.cenlon, df.cenlat)
total_area = df.area_km2.sum()


@solara.component
def Layout(children=[]):
    filter, _set_filter = solara.use_cross_filter(id(df))
    dff = df[filter] if filter is not None else df
    selected_area = np.sum(dff["area_km2"])
    selected_percentage = selected_area / total_area * 100
    title_text = f"### Glaciers selected: {len(dff)} | Area: {selected_area:.0f} km² ({selected_percentage:.1f}%)</font>"
    md = solara.Markdown(title_text, style={"color": "white"})
    solara.AppLayout(children=children, title=md)


@solara.component
def Scatter():
    # if you want to do something custom, use the use_cross_filter hook
    # filter, _set_filter = solara.use_cross_filter()
    # dff = df
    px.scatter(df, "avg_prcp", "mean_elev")


@solara.component
def Temp():
    # if you want to do something custom, use the use_cross_filter hook
    # filter, _set_filter = solara.use_cross_filter()
    # dff = df
    px.histogram(df, "avg_temp_at_mean_elev")


@solara.component
def Page():
    with solara.Columns():
        Scatter()
        Temp()

import numpy as np
import pandas as pd
from holoviews.element.tiles import lon_lat_to_easting_northing

import solara
import solara.express as px

df = pd.read_parquet("https://datasets.holoviz.org/oggm_glaciers/v1/oggm_glaciers.parq")
df["latdeg"] = df.cenlat
df["x"], df["y"] = lon_lat_to_easting_northing(df.cenlon, df.cenlat)
total_area = df.area_km2.sum()


@solara.component
def Layout(children=[]):
    filter, _set_filter = solara.use_cross_filter(id(df))
    dff = df[filter] if filter is not None else df
    selected_area = np.sum(dff["area_km2"])
    selected_percentage = selected_area / total_area * 100
    title_text = f"### Glaciers selected: {len(dff)} | Area: {selected_area:.0f} km² ({selected_percentage:.1f}%)</font>"
    md = solara.Markdown(title_text, style={"color": "white"})
    solara.AppLayout(children=children, title=md)


@solara.component
def Scatter():
    # if you want to do something custom, use the use_cross_filter hook
    # filter, _set_filter = solara.use_cross_filter()
    # dff = df
    px.scatter(df, "avg_prcp", "mean_elev")


@solara.component
def Temp():
    # if you want to do something custom, use the use_cross_filter hook
    # filter, _set_filter = solara.use_cross_filter()
    # dff = df
    px.histogram(df, "avg_temp_at_mean_elev")


@solara.component
def Page():
    with solara.Columns():
        Scatter()
        Temp()

Yordan RadevOP•2y ago

Thank you I am looking into how interdependant widgets and geo libraries like GeoViews, Xarray, Xesmf could be implemented in Solara to see if it is even possible to switch from Panel. I guess I will hang back for the moment sir. Thank you so much for your time and I hope Solara grows quickly 🙂

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https panel holoviz org gallery glaciers

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