I’m trying to make a hv.VSpans
plot in which the color of the spans depends on some categorical value dimension (called phase
in my example). When phase
is of type int
it works as expected, but in my case I would prefer phase
to be str
, but in that case the colors are the same for each category (see screenshot below).
One additional question, how could I specify the colors per category (i.e. by providing something like colors = {"growing": "red", "harvest": "green", etc...}
)?
import holoviews as hv
from holoviews import opts
import pandas as pd
df = pd.DataFrame({
"start": [0, 6, 11, 15],
"end": [6, 11, 15, 17],
# "phase": [1, 2, 3, 1],
"phase": ["growing", "harvest", "fallow", "growing"]
}
)
hv.VSpans(df, kdims = ["start", "end"], vdims = "phase").opts(
opts.VSpans(tools = ["hover"], color = "phase", width = 500)
)