Multiple Lines on the Same Plot Using hvplot

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

!curl -sSL -o loss.csv https://github.com/dclong/blog/files/7229259/loss.csv

import pandas as pd
import hvplot.pandas

df = pd.read_csv("loss.csv")
df

Manually Overlay Multiple Plots¶

This way is good for creating subplots but is not suggested for overlaying multiple plots into one plot as you will have to do extra work to label lines.

df.hvplot.line("Step", "Value_train") + df.hvplot.line("Step", "Value_train")

df.hvplot.line("Step", "Value_train") * df.hvplot.line("Step", "Value_train")

`groupby` + `overlay`¶

This approach is best for slim-and-tall data.

df2 = df.melt(id_vars="Step", value_vars=["Value_train", "Value_test"])
df2

df2.hvplot.line("Step", "value", groupby="variable")

df2.hvplot.line("Step", "value", groupby="variable").overlay()

Direct Specify Multiple y-Columns¶

df.hvplot.line("Step", ("Value_train", "Value_test"))

Multiple Lines on the Same Plot Using hvplot

Manually Overlay Multiple Plots¶

groupby + overlay¶

Direct Specify Multiple y-Columns¶

`groupby` + `overlay`¶