hvPlot.area

hvPlot.area(x=None, y=None, y2=None, stacked=True, **kwds)

The area plot can be used to color the area under a line or to color the space between two lines.

Reference: https://hvplot.holoviz.org/reference/tabular/area.html

Parameters:

xstring, optional

Field name(s) to draw x-positions from. If not specified, the index is used. Can refer to continuous and categorical data.

ystring, optional

Field name to draw the first y-position from

y2string, optional

Field name to draw the second y-position from

stackedboolean, optional

Whether to stack multiple areas. Default is True.

**kwdsoptional

Additional keywords arguments are documented in hvplot.help(‘area’). See Plotting Options for more information.

Returns:

holoviews.element.Area / Panel object

You can print the object to study its composition and run:

import holoviews as hv
hv.help(the_holoviews_object)

to learn more about its parameters and options.

References

• Bokeh: https://docs.bokeh.org/en/latest/docs/user_guide/plotting.html#directed-areas

• HoloViews: https://holoviews.org/reference/elements/matplotlib/Area.html

• Pandas: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.plot.area.html

• Plotly: https://plotly.com/python/filled-area-plots/

• Matplotlib: https://matplotlib.org/stable/gallery/lines_bars_and_markers/fill_between_demo.html

• Wiki: https://en.wikipedia.org/wiki/Area_chart

Examples

import hvplot.pandas
import pandas as pd

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"],
    },
)
df["min"] = df[["actual", "forecast"]].min(axis=1)
df["max"] = df[["actual", "forecast"]].max(axis=1)

area = df.hvplot.area(
    x="numerical",
    y="min",
    y2="max",
    ylabel="value",
    legend="bottom",
    height=500,
    color=["#55a194"],
    alpha=0.7,
    line_width=2,
    ylim=(0, 200),
)
area

Backend-specific styling options

Bokeh

alpha, color, fill_alpha, fill_color, hover_alpha, hover_color, hover_fill_alpha, hover_fill_color, hover_line_alpha, hover_line_cap, hover_line_color, hover_line_dash, hover_line_dash_offset, hover_line_join, hover_line_width, line_alpha, line_cap, line_color, line_dash, line_dash_offset, line_join, line_width, muted, muted_alpha, muted_color, muted_fill_alpha, muted_fill_color, muted_line_alpha, muted_line_cap, muted_line_color, muted_line_dash, muted_line_dash_offset, muted_line_join, muted_line_width, nonselection_alpha, nonselection_color, nonselection_fill_alpha, nonselection_fill_color, nonselection_line_alpha, nonselection_line_cap, nonselection_line_color, nonselection_line_dash, nonselection_line_dash_offset, nonselection_line_join, nonselection_line_width, selection_alpha, selection_color, selection_fill_alpha, selection_fill_color, selection_line_alpha, selection_line_cap, selection_line_color, selection_line_dash, selection_line_dash_offset, selection_line_join, selection_line_width, visible

Matplotlib

alpha, c, capstyle, color, ec, ecolor, edgecolor, facecolor, fc, fill, hatch, interpolate, joinstyle, linestyle, linewidth, lw, step

Examples

TBD

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