matplotlib.pyplot  Pyplot function overview  
pyplot matplotlib.pyplot is a state-based interface to matplotlib.     matplotlib.pyplot.plotting()[source]
 
  
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[source]
 
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)