Time-Series Step Plot#

A step plot to visualize values that change at discrete time intervals. This is useful for state transitions, pricing tiers, or events that update periodically.

import hvplot.pandas  # noqa

df = hvplot.sampledata.apple_stocks("pandas").set_index("date").loc["2024-01-01": "2024-03-31"]

df.hvplot.step(
    y="open",
    ylabel="Opening Price ($)",
    title="Time-Series Step Plot (Bokeh)",
)

import hvplot.pandas  # noqa
hvplot.extension("matplotlib")

df = hvplot.sampledata.apple_stocks("pandas").set_index("date").loc["2024-01-01": "2024-03-31"]

df.hvplot.step(
    y="open",
    ylabel="Opening Price ($)",
    title="Time-Series Step Plot (Matplotlib)",
)