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Feature request: colormap with background #124

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khalida opened this issue Oct 24, 2019 · 0 comments
Open

Feature request: colormap with background #124

khalida opened this issue Oct 24, 2019 · 0 comments

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@khalida
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khalida commented Oct 24, 2019

Code Sample

import folium
import pandas as pd
import folium.plugins

import branca
import branca.colormap as cm

data = [
    [33.823400, -118.12194, 99.23],
    [33.823500, -118.12294, 95.23],
    [33.823600, -118.12394, 91.23],
    [33.823700, -118.12494, 90.00]
]

df = pd.DataFrame(data, columns=['latitude','longitude','data'])

x_start = (df['latitude'].max() + df['latitude'].min()) / 2
y_start = (df['longitude'].max() + df['longitude'].min()) / 2
start_coord = (x_start, y_start)


colormap = cm.LinearColormap(colors=['red','lightblue'],
                             index=[df['data'].min(),df['data'].max()],
                             vmin=df['data'].min(),vmax=df['data'].max())

colormap.caption = 'Data [units]'

map = folium.Map(location=start_coord, zoom_start=12)


lat = list(df.latitude)
lon = list(df.longitude)
dat = list(df.data)


for loc, p in zip(zip(lat, lon), dat):
    folium.Circle(
        location=loc,
        radius=10,
        fill=True,
        color=colormap(p),
        fill_opacity=0.7
    ).add_to(map)

map.add_child(colormap)
map.save('index.html')

Problem description

Code above creates colored points, and displays a colormap to show what data value each color corresponds to. This is great but it would be even better if a background colour could be selected. This slightly hacky work-around does exactly what I want:
https://stackoverflow.com/a/50427006/4988601

I'd be happy to try and plumb this into folium itself if a few people show some interest in this feature (I'm fairly new to folium so any pointers on what methods/classes I'd need to poke around in would be appreciated).

Expected Output

Colormap with an optional background color rectangle to help it stand out.

Output of folium.__version__

0.10.0

@Conengmo Conengmo transferred this issue from python-visualization/folium Nov 27, 2022
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