I’m working with actual
and forecasted
data. The focus is the actual
data end how the forecasted
deviates from this. So I create a plot like this.
import pandas as pd
import hvplot.pandas
df = pd.DataFrame(
{
"actual": [100, 150, 125, 140, 145, 135, 123],
"forecast": [90, 160, 125, 150, 141, 141, 120],
"numerical": [1.1, 1.9, 3.2, 3.8, 4.3, 5.0, 5.5],
"date": pd.date_range("2022-01-03", "2022-01-09"),
"string": ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"],
},
)
line = df.hvplot.line(x="numerical", y=["forecast", "actual"], ylabel="value", legend="bottom", height=500, color=["#1e85f7", "#f16a6f"], line_width=5)
markers = df.hvplot.scatter(
x="numerical", y=["forecast", "actual"], color=["#1e85f7", "#f16a6f"], size=100
)
line * markers
It looks like
I set y=["forecast", "actual"]
to put the actual
series on top of the forecast
series.
How do I put the forecast
series first in the legend?
(Hopefully without jumping into Holoviews and/ or using hooks.)