Is there a way to stop holoviews from resetting extents upon change in selection?

HoloViews
1

If you zoom in and then change the slider a bit, the map extents resets

import panel as pn
import xarray as xr
import pandas as pd
import hvplot.pandas
import holoviews as hv
import cartopy.crs as ccrs
from random import randrange

tiles = hv.element.tiles.EsriImagery()
ds = xr.tutorial.open_dataset('air_temperature')

def plot(time):
    df = ds.sel(time=time).to_dataframe()
    num_points = randrange(5)
    df = df.sample(num_points)
    image = df.hvplot.points(
        'lon', 'lat', color='air', geo=True, xlim=(-150, -50), ylim=(0, 50)
    ).opts(
        projection=ccrs.GOOGLE_MERCATOR, width=1000, height=500)
    return tiles * image

pn.interact(plot, time=ds['time'].values)
2

This seems to work, but I couldn’t find a way to get datetime

import panel as pn
import xarray as xr
import pandas as pd
import hvplot.pandas
import holoviews as hv
import cartopy.crs as ccrs
from random import randrange

tiles = hv.element.tiles.EsriImagery()
ds = xr.tutorial.open_dataset('air_temperature')

def plot(time):
    df = ds.isel(time=time).to_dataframe()
    num_points = randrange(5)
    df = df.sample(num_points)
    image = df.hvplot.points(
        'lon', 'lat', color='air', geo=True, xlim=(-150, -50), ylim=(0, 50)
    ).opts(
        projection=ccrs.GOOGLE_MERCATOR, width=1000, height=500)
    return tiles * image

dmap = hv.DynamicMap(plot, kdims=['time']).redim.range(time=(0, 100))
dmap
3

This works

import panel as pn
import xarray as xr
import pandas as pd
import hvplot.pandas
import holoviews as hv
import cartopy.crs as ccrs
from random import randrange

tiles = hv.element.tiles.EsriImagery()
ds = xr.tutorial.open_dataset('air_temperature')

def plot(time):
    df = ds.sel(time=time).to_dataframe()
    num_points = randrange(100)
    df = df.sample(num_points)
    image = df.hvplot.points(
        'lon', 'lat', color='air', geo=True, xlim=(-150, -50), ylim=(0, 50)
    ).opts(
        projection=ccrs.GOOGLE_MERCATOR, width=1000, height=500)
    return tiles * image

dmap = hv.DynamicMap(plot, kdims=['time']).redim.values(time=ds['time'].values)
dmap
4

Hi @ahuang11, do you still get this snippet to work (i.e. no extent resetting after zooming in and moving the time slider)? I’ve just tried it and saw the extent is being reset.

1 Like
5

Try:

import panel as pn
import xarray as xr
import pandas as pd
import geoviews as gv
import cartopy.crs as ccrs
from random import randrange

tiles = gv.tile_sources.EsriImagery()
ds = xr.tutorial.open_dataset('air_temperature')

def plot(time):
    df = ds.sel(time=time).to_dataframe()
    df = df.sample(randrange(5))
    points = gv.Points(df, ["lon", "lat"]).opts(
        projection=ccrs.GOOGLE_MERCATOR, global_extent=True, color="white")
    return tiles * points

slider, points = pn.interact(plot, time=ds['time'].values)
layout = pn.Column(slider, points)
layout
1 Like
6

Thanks for your attempt, but no, it’s still not working unfortunately (panel 0.11.3, holoviews 1.14. Now the basemap is flickering while moving the slider. When I have time in the next weeks I’ll try to see how to get a working version of that.

7 
import panel as pn
import xarray as xr
import pandas as pd
import geoviews as gv
import cartopy.crs as ccrs
from random import randrange

gv.extension("bokeh")

tiles = gv.tile_sources.EsriImagery()
ds = xr.tutorial.open_dataset('air_temperature')
slider = pn.widgets.DiscreteSlider(options=list(ds["time"].astype(str).values))

def plot(time):
    df = ds.sel(time=time).to_dataframe()
    df = df.sample(randrange(5))
    points = gv.Points(df, ["lon", "lat"]).opts(
        projection=ccrs.GOOGLE_MERCATOR, global_extent=True, color="white")
    return tiles * points

points = gv.DynamicMap(pn.bind(plot, slider.param.value))
pn.Column(slider, points)

try this

1 Like
8

Thanks wonderful it works great!

2 Likes