- matplotlib.pyplot.colorbar(mappable=None, cax=None, ax=None, **kwargs)[source]#
Add a colorbar to a plot.
- Parameters:
- mappable
The matplotlib.cm.ScalarMappable (i.e., AxesImage,ContourSet, etc.) described by this colorbar. This argument ismandatory for the Figure.colorbar method but optional for thepyplot.colorbar function, which sets the default to the currentimage.
Note that one can create a ScalarMappable "on-the-fly" togenerate colorbars not attached to a previously drawn artist, e.g.
fig.colorbar(cm.ScalarMappable(norm=norm, cmap=cmap), ax=ax)
- caxAxes, optional
Axes into which the colorbar will be drawn. If
None
, then a newAxes is created and the space for it will be stolen from the Axes(s)specified in ax.- axAxes or iterable or
numpy.ndarray
of Axes, optional The one or more parent Axes from which space for a new colorbar Axeswill be stolen. This parameter is only used if cax is not set.
Defaults to the Axes that contains the mappable used to create thecolorbar.
- use_gridspecbool, optional
If cax is
None
, a new cax is created as an instance ofAxes. If ax is positioned with a subplotspec and use_gridspecisTrue
, then cax is also positioned with a subplotspec.
- Returns:
- colorbarColorbar
- Other Parameters:
- locationNone or {'left', 'right', 'top', 'bottom'}
The location, relative to the parent Axes, where the colorbar Axesis created. It also determines the orientation of the colorbar(colorbars on the left and right are vertical, colorbars at the topand bottom are horizontal). If None, the location will come from theorientation if it is set (vertical colorbars on the right, horizontalones at the bottom), or default to 'right' if orientation is unset.
- orientationNone or {'vertical', 'horizontal'}
The orientation of the colorbar. It is preferable to set the locationof the colorbar, as that also determines the orientation; passingincompatible values for location and orientation raises an exception.
- fractionfloat, default: 0.15
Fraction of original Axes to use for colorbar.
- shrinkfloat, default: 1.0
Fraction by which to multiply the size of the colorbar.
- aspectfloat, default: 20
Ratio of long to short dimensions.
- padfloat, default: 0.05 if vertical, 0.15 if horizontal
Fraction of original Axes between colorbar and new image Axes.
- anchor(float, float), optional
The anchor point of the colorbar Axes.Defaults to (0.0, 0.5) if vertical; (0.5, 1.0) if horizontal.
- panchor(float, float), or False, optional
The anchor point of the colorbar parent Axes. If False, the parentaxes' anchor will be unchanged.Defaults to (1.0, 0.5) if vertical; (0.5, 0.0) if horizontal.
- extend{'neither', 'both', 'min', 'max'}
Make pointed end(s) for out-of-range values (unless 'neither'). These areset for a given colormap using the colormap set_under and set_over methods.
- extendfrac{None, 'auto', length, lengths}
If set to None, both the minimum and maximum triangular colorbarextensions will have a length of 5% of the interior colorbar length (thisis the default setting).
If set to 'auto', makes the triangular colorbar extensions the same lengthsas the interior boxes (when spacing is set to 'uniform') or the samelengths as the respective adjacent interior boxes (when spacing is set to'proportional').
If a scalar, indicates the length of both the minimum and maximumtriangular colorbar extensions as a fraction of the interior colorbarlength. A two-element sequence of fractions may also be given, indicatingthe lengths of the minimum and maximum colorbar extensions respectively asa fraction of the interior colorbar length.
- extendrectbool
If False the minimum and maximum colorbar extensions will be triangular(the default). If True the extensions will be rectangular.
- spacing{'uniform', 'proportional'}
For discrete colorbars (BoundaryNorm or contours), 'uniform' gives eachcolor the same space; 'proportional' makes the space proportional to thedata interval.
- ticksNone or list of ticks or Locator
If None, ticks are determined automatically from the input.
- formatNone or str or Formatter
If None, ScalarFormatter is used.Format strings, e.g.,
"%4.2e"
or"{x:.2e}"
, are supported.An alternative Formatter may be given instead.- drawedgesbool
Whether to draw lines at color boundaries.
- labelstr
The label on the colorbar's long axis.
- boundaries, valuesNone or a sequence
If unset, the colormap will be displayed on a 0-1 scale.If sequences, values must have a length 1 less than boundaries. Foreach region delimited by adjacent entries in boundaries, the color mappedto the corresponding value in values will be used.Normally only useful for indexed colors (i.e.
norm=NoNorm()
) or otherunusual circ*mstances.
Notes
Note
See Alsomatplotlib.pyplot.plot — Matplotlib 3.9.2 documentationPython Plotting With Matplotlib (Guide) – Real PythonThe Docs — Matplotlib for C++ documentationmatplotlib.pyplot.scatter — Matplotlib 3.9.2 documentationThis is the pyplot wrapper for Figure.colorbar.
If mappable is a ContourSet, its extend kwarg isincluded automatically.
The shrink kwarg provides a simple way to scale the colorbar withrespect to the Axes. Note that if cax is specified, it determines thesize of the colorbar, and shrink and aspect are ignored.
For more precise control, you can manually specify the positions of theaxes objects in which the mappable and the colorbar are drawn. In thiscase, do not use any of the Axes properties kwargs.
It is known that some vector graphics viewers (svg and pdf) renderwhite gaps between segments of the colorbar. This is due to bugs inthe viewers, not Matplotlib. As a workaround, the colorbar can berendered with overlapping segments:
cbar = colorbar()cbar.solids.set_edgecolor("face")draw()
However, this has negative consequences in other circ*mstances, e.g.with semi-transparent images (alpha < 1) and colorbar extensions;therefore, this workaround is not used by default (see issue #1188).
Examples using matplotlib.pyplot.colorbar
#
Contour Demo
Contour Demo
Contour Image
Contour Image
Contourf demo
Contourf demo
Contourf Hatching
Contourf Hatching
Contourf and log color scale
Contourf and log color scale
Creating annotated heatmaps
Creating annotated heatmaps
Image Masked
Image Masked
Multiple images with one colorbar
Multiple images with one colorbar
pcolor images
pcolor images
pcolormesh
pcolormesh
Tricontour Demo
Tricontour Demo
Subplots spacings and margins
Subplots spacings and margins
Colorbar
Colorbar
Creating a colormap from a list of colors
Creating a colormap from a list of colors
Ellipse Collection
Ellipse Collection
Plotting multiple lines with a LineCollection
Plotting multiple lines with a LineCollection
Axes divider
Axes divider
Colorbar Tick Labelling
Colorbar Tick Labelling
Image tutorial
Image tutorial
Tight layout guide
Tight layout guide