hvPlot.errorbars#
- hvPlot.errorbars(x=None, y=None, yerr1=None, yerr2=None, **kwds)[source]#
errorbars provide a visual indicator for the variability of the plotted data on a graph. They are usually overlaid with other plots such as scatter , line or bar plots to indicate the variability.
Reference: https://hvplot.holoviz.org/ref/api/manual/hvplot.hvPlot.errorbars.html
Plotting options: https://hvplot.holoviz.org/ref/plotting_options/index.html
- Parameters:
- xstring, optional
Field name to draw the x-position from. If not specified, the index is used. Can refer to continuous and categorical data.
- ystring, optional
Field name to draw the y-position from
- yerr1string, optional
Field name to draw symmetric / negative errors from
- yerr2string, optional
Field name to draw positive errors from
- **kwdsoptional
Additional keywords arguments are documented in Plotting Options. Run
hvplot.help('errorbars')for the full method documentation.
- Returns:
holoviews.element.ErrorBars/ Panel objectYou 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/examples/basic/annotations/whisker.html
HoloViews: https://holoviews.org/reference/elements/bokeh/ErrorBars.html
Matplotlib: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.errorbar.html
Pandas: https://pandas.pydata.org/docs/user_guide/visualization.html#visualization-errorbars
Wikipedia: https://en.wikipedia.org/wiki/Error_bar
Backend-specific styling options#
alpha, color, line_alpha, line_cap, line_color, line_dash, line_dash_offset, line_join, line_width, lower_head, muted, upper_head, visible
alpha, barsabove, c, capsize, capthick, color, dashes, ec, ecolor, edgecolor, elinewidth, errorevery, linestyle, linewidth, lolims, lw, markeredgecolor, markeredgewidth, markerfacecolor, markersize, mec, mew, mfc, ms, solid_capstyle, solid_joinstyle, uplims, xlolims, xuplims
Examples#
Basic error bars plot#
Error bars are usually overlaid on another plot using the * operator. We set yerr1 to a variable. When only yerr1 is set and not yerr2, it is displayed as the symmetric error.
import hvplot.pandas # noqa
import pandas as pd
df = pd.DataFrame({"x": range(1, 4), "y": [1, 3, 2], "yerr": [0.2, 0.8, 0.5]})
df.hvplot.scatter(x="x", y="y") *\
df.hvplot.errorbars(x="x", y="y", yerr1="yerr")
Use of yerr1 and yerr2#
When both yerr1 and yerr2 are set, yerr1 is displayed as the negative error and yerr2 as the positive error, both as the distance from the center.
import hvplot.pandas # noqa
import pandas as pd
df = pd.DataFrame({"x": range(1, 4), "y": [1, 3, 2], "yerr1": 0.5, "yerr2": 1})
df.hvplot.scatter(x="x", y="y") *\
df.hvplot.errorbars(x="x", y="y", yerr1="yerr1", yerr2="yerr2")
Inverted error bars#
import hvplot.pandas # noqa
import pandas as pd
df = pd.DataFrame({"x": range(1, 4), "y": [1, 3, 2], "yerr": 0.5})
df.hvplot.scatter(x="x", y="y") *\
df.hvplot.errorbars(x="x", y="y", yerr1="yerr", invert=True)
Bar plot with error bars#
import hvplot.pandas # noqa
import pandas as pd
df = pd.DataFrame({"x": ["A", "B", "C"], "y": [1, 3, 2], "yerr": 0.5})
df.hvplot.bar(x="x", y="y", alpha=0.5) *\
df.hvplot.errorbars(x="x", y="y", yerr1="yerr")
import hvplot.pandas # noqa
import pandas as pd
df = pd.DataFrame({"x": ["A", "B", "C"], "y": [1, 3, 2], "yerr": 0.5})
df.hvplot.barh(x="x", y="y", alpha=0.5) *\
df.hvplot.errorbars(x="x", y="y", yerr1="yerr")