python-visualization / python-visualization/branca
Feature request: colormap with background
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- Dominant language
- Python
- Stars
- 134
- Forks
- 69
- Avg merge
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- 1
Description
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
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by inspecting the branca.colormap classes and the generated colormap HTML used by the example. Trace how the colormap is rendered and determine where an optional background rectangle can be represented; done means the existing example supports a selectable background color without changing the color mapping.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100