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Description
I have an array of global temperatures and associated longitude and latitude coordinates arrays. I would like to plot the temperatures as a heatmap on a map with custom projection and showing coastlines.
A working code example using matplotlib is:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
f, ax = plt.subplots(subplot_kw={'projection': ccrs.Robinson()})
p = ax.pcolormesh(longitude, latitude, temperature, cmap='RdBu_r', transform=ccrs.PlateCarree())
ax.coastlines()
f.colorbar(p, orientation='horizontal')The output figure from code block above is (data available here):
At the moment I was only able to use plotly for a simple heatmap with the following code:
from plotly.offline import iplot
import plotly.graph_objs as go
layout = go.Layout(geo={'projection': {'type': 'robinson'}})
data = go.Heatmap(x=longitude, y=latitude, z=temperature)
fig = go.Figure(data=[data], layout=layout)
iplot(fig)As next figure shows, main issues are:
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the projection is not working;
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no coastlines are shown.
