matplotlib.pyplot

Pyplot function overview

pyplot

matplotlib.pyplot is a state-based interface to matplotlib.

matplotlib.pyplot.plotting()

Function	Description
acorr	Plot the autocorrelation of x.
angle_spectrum	Plot the angle spectrum.
annotate	Annotate the point xy with text text.
arrow	Add an arrow to the Axes.
autoscale	Autoscale the axis view to the data (toggle).
axes	Add an axes to the current figure and make it the current axes.
axhline	Add a horizontal line across the axis.
axhspan	Add a horizontal span (rectangle) across the Axes.
axis	Convenience method to get or set some axis properties.
axline	Add an infinitely long straight line.
axvline	Add a vertical line across the Axes.
axvspan	Add a vertical span (rectangle) across the Axes.
bar	Make a bar plot.
bar_label	Label a bar plot.
barbs	Plot a 2D field of barbs.
barh	Make a horizontal bar plot.
box	Turn the axes box on or off on the current axes.
boxplot	Draw a box and whisker plot.
broken_barh	Plot a horizontal sequence of rectangles.
cla	Clear the current axes.
clabel	Label a contour plot.
clf	Clear the current figure.
clim	Set the color limits of the current image.
close	Close a figure window.
cohere	Plot the coherence between x and y.
colorbar	Add a colorbar to a plot.
contour	Plot contour lines.
contourf	Plot filled contours.
csd	Plot the cross-spectral density.
delaxes	Remove an Axes (defaulting to the current axes) from its figure.
draw	Redraw the current figure.
draw_if_interactive	Redraw the current figure if in interactive mode.
errorbar	Plot y versus x as lines and/or markers with attached errorbars.
eventplot	Plot identical parallel lines at the given positions.
figimage	Add a non-resampled image to the figure.
figlegend	Place a legend on the figure.
fignum_exists	Return whether the figure with the given id exists.
figtext	Add text to figure.
figure	Create a new figure, or activate an existing figure.
fill	Plot filled polygons.
fill_between	Fill the area between two horizontal curves.
fill_betweenx	Fill the area between two vertical curves.
findobj	Find artist objects.
gca	Get the current Axes.
gcf	Get the current figure.
gci	Get the current colorable artist.
get	Return the value of an Artist's property, or print all of them.
get_figlabels	Return a list of existing figure labels.
get_fignums	Return a list of existing figure numbers.
getp	Return the value of an Artist's property, or print all of them.
grid	Configure the grid lines.
hexbin	Make a 2D hexagonal binning plot of points x, y.
hist	Plot a histogram.
hist2d	Make a 2D histogram plot.
hlines	Plot horizontal lines at each y from xmin to xmax.
imread	Read an image from a file into an array.
imsave	Save an array as an image file.
imshow	Display data as an image, i.e., on a 2D regular raster.
install_repl_displayhook	Install a repl display hook so that any stale figure are automatically redrawn when control is returned to the repl.
ioff	Disable interactive mode.
ion	Enable interactive mode.
isinteractive	Return whether plots are updated after every plotting command.
legend	Place a legend on the Axes.
locator_params	Control behavior of major tick locators.
loglog	Make a plot with log scaling on both the x and y axis.
magnitude_spectrum	Plot the magnitude spectrum.
margins	Set or retrieve autoscaling margins.
matshow	Display an array as a matrix in a new figure window.
minorticks_off	Remove minor ticks from the Axes.
minorticks_on	Display minor ticks on the Axes.
new_figure_manager	Create a new figure manager instance.
pause	Run the GUI event loop for interval seconds.
pcolor	Create a pseudocolor plot with a non-regular rectangular grid.
pcolormesh	Create a pseudocolor plot with a non-regular rectangular grid.
phase_spectrum	Plot the phase spectrum.
pie	Plot a pie chart.
plot	Plot y versus x as lines and/or markers.
plot_date	Plot coercing the axis to treat floats as dates.
polar	Make a polar plot.
psd	Plot the power spectral density.
quiver	Plot a 2D field of arrows.
quiverkey	Add a key to a quiver plot.
rc	Set the current rcParams.
rc_context	Return a context manager for temporarily changing rcParams.
rcdefaults	Restore the rcParams from Matplotlib's internal default style.
rgrids	Get or set the radial gridlines on the current polar plot.
savefig	Save the current figure.
sca	Set the current Axes to ax and the current Figure to the parent of ax.
scatter	A scatter plot of y vs.
sci	Set the current image.
semilogx	Make a plot with log scaling on the x axis.
semilogy	Make a plot with log scaling on the y axis.
set_cmap	Set the default colormap, and applies it to the current image if any.
set_loglevel	Set Matplotlib's root logger and root logger handler level, creating the handler if it does not exist yet.
setp	Set one or more properties on an Artist, or list allowed values.
show	Display all open figures.
specgram	Plot a spectrogram.
spy	Plot the sparsity pattern of a 2D array.
stackplot	Draw a stacked area plot.
stairs	A stepwise constant function as a line with bounding edges or a filled plot.
stem	Create a stem plot.
step	Make a step plot.
streamplot	Draw streamlines of a vector flow.
subplot	Add an Axes to the current figure or retrieve an existing Axes.
subplot2grid	Create a subplot at a specific location inside a regular grid.
subplot_mosaic	Build a layout of Axes based on ASCII art or nested lists.
subplot_tool	Launch a subplot tool window for a figure.
subplots	Create a figure and a set of subplots.
subplots_adjust	Adjust the subplot layout parameters.
suptitle	Add a centered suptitle to the figure.
switch_backend	Close all open figures and set the Matplotlib backend.
table	Add a table to an Axes.
text	Add text to the Axes.
thetagrids	Get or set the theta gridlines on the current polar plot.
tick_params	Change the appearance of ticks, tick labels, and gridlines.
ticklabel_format	Configure the ScalarFormatter used by default for linear axes.
tight_layout	Adjust the padding between and around subplots.
title	Set a title for the Axes.
tricontour	Draw contour lines on an unstructured triangular grid.
tricontourf	Draw contour regions on an unstructured triangular grid.
tripcolor	Create a pseudocolor plot of an unstructured triangular grid.
triplot	Draw a unstructured triangular grid as lines and/or markers.
twinx	Make and return a second axes that shares the x-axis.
twiny	Make and return a second axes that shares the y-axis.
uninstall_repl_displayhook	Uninstall the Matplotlib display hook.
violinplot	Make a violin plot.
vlines	Plot vertical lines at each x from ymin to ymax.
xcorr	Plot the cross correlation between x and y.
xkcd	Turn on xkcd sketch-style drawing mode.
xlabel	Set the label for the x-axis.
xlim	Get or set the x limits of the current axes.
xscale	Set the x-axis scale.
xticks	Get or set the current tick locations and labels of the x-axis.
ylabel	Set the label for the y-axis.
ylim	Get or set the y-limits of the current axes.
yscale	Set the y-axis scale.
yticks	Get or set the current tick locations and labels of the y-axis.

Colors in Matplotlib

There are many colormaps you can use to map data onto color values. Below we list several ways in which color can be utilized in Matplotlib.

For a more in-depth look at colormaps, see the Choosing Colormaps in Matplotlib tutorial.

matplotlib.pyplot.colormaps

Container for colormaps that are known to Matplotlib by name.

Experimental

While we expect the API to be final, we formally mark it as experimental for 3.5 because we want to keep the option to still adapt the API for 3.6 should the need arise.

The universal registry instance is matplotlib.colormaps. There should be no need for users to instantiate ColormapRegistry themselves.

Read access uses a dict-like interface mapping names to Colormaps:

import matplotlib as mpl
cmap = mpl.colormaps['viridis']

Returned Colormaps are copies, so that their modification does not change the global definition of the colormap.

Additional colormaps can be added via ColormapRegistry.register:

mpl.colormaps.register(my_colormap)