Version 3.0.2
matplotlib
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Table of Contents

matplotlib.pyplot

matplotlib.pyplot is a state-based interface to matplotlib. It provides a MATLAB-like way of plotting.

pyplot is mainly intended for interactive plots and simple cases of programmatic plot generation:

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(0, 5, 0.1)
y = np.sin(x)
plt.plot(x, y)

The object-oriented API is recommended for more complex plots.

Functions

acorr(x, *[, data]) Plot the autocorrelation of x.
angle_spectrum(x[, Fs, Fc, window, pad_to, ...]) Plot the angle spectrum.
annotate(s, xy, *args, **kwargs) Annotate the point xy with text s.
arrow(x, y, dx, dy, **kwargs) Add an arrow to the axes.
autoscale([enable, axis, tight]) Autoscale the axis view to the data (toggle).
autumn() Set the colormap to "autumn".
axes([arg]) Add an axes to the current figure and make it the current axes.
axhline([y, xmin, xmax]) Add a horizontal line across the axis.
axhspan(ymin, ymax[, xmin, xmax]) Add a horizontal span (rectangle) across the axis.
axis(*v, **kwargs) Convenience method to get or set some axis properties.
axvline([x, ymin, ymax]) Add a vertical line across the axes.
axvspan(xmin, xmax[, ymin, ymax]) Add a vertical span (rectangle) across the axes.
bar(x, height[, width, bottom, align, data]) Make a bar plot.
barbs(*args[, data]) Plot a 2-D field of barbs.
barh(y, width[, height, left, align]) Make a horizontal bar plot.
bone() Set the colormap to "bone".
box([on]) Turn the axes box on or off on the current axes.
boxplot(x[, notch, sym, vert, whis, ...]) Make a box and whisker plot.
broken_barh(xranges, yrange, *[, data]) Plot a horizontal sequence of rectangles.
cla() Clear the current axes.
clabel(CS, *args, **kwargs) Label a contour plot.
clf() Clear the current figure.
clim([vmin, vmax]) Set the color limits of the current image.
close([fig]) Close a figure window.
cohere(x, y[, NFFT, Fs, Fc, detrend, ...]) Plot the coherence between x and y.
colorbar([mappable, cax, ax]) Add a colorbar to a plot.
connect(s, func) Connect event with string s to func.
contour(*args[, data]) Plot contours.
contourf(*args[, data]) Plot contours.
cool() Set the colormap to "cool".
copper() Set the colormap to "copper".
csd(x, y[, NFFT, Fs, Fc, detrend, window, ...]) Plot the cross-spectral density.
delaxes([ax]) Remove the Axes ax (defaulting to the current axes) from its figure.
disconnect(cid) Disconnect callback id cid
draw() Redraw the current figure.
errorbar(x, y[, yerr, xerr, fmt, ecolor, ...]) Plot y versus x as lines and/or markers with attached errorbars.
eventplot(positions[, orientation, ...]) Plot identical parallel lines at the given positions.
figimage(*args, **kwargs) Add a non-resampled image to the figure.
figlegend(*args, **kwargs) Place a legend in the figure.
fignum_exists(num) Return whether the figure with the given id exists.
figtext(x, y, s, *args, **kwargs) Add text to figure.
figure([num, figsize, dpi, facecolor, ...]) Create a new figure.
fill(*args[, data]) Plot filled polygons.
fill_between(x, y1[, y2, where, ...]) Fill the area between two horizontal curves.
fill_betweenx(y, x1[, x2, where, step, ...]) Fill the area between two vertical curves.
findobj([o, match, include_self]) Find artist objects.
flag() Set the colormap to "flag".
gca(**kwargs) Get the current Axes instance on the current figure matching the given keyword args, or create one.
gcf() Get a reference to the current figure.
gci() Get the current colorable artist.
get_current_fig_manager() Return the figure manager of the active figure.
get_figlabels() Return a list of existing figure labels.
get_fignums() Return a list of existing figure numbers.
get_plot_commands() Get a sorted list of all of the plotting commands.
ginput(*args, **kwargs) Blocking call to interact with a figure.
gray() Set the colormap to "gray".
grid([b, which, axis]) Configure the grid lines.
hexbin(x, y[, C, gridsize, bins, xscale, ...]) Make a hexagonal binning plot.
hist(x[, bins, range, density, weights, ...]) Plot a histogram.
hist2d(x, y[, bins, range, normed, weights, ...]) Make a 2D histogram plot.
hlines(y, xmin, xmax[, colors, linestyles, ...]) Plot horizontal lines at each y from xmin to xmax.
hot() Set the colormap to "hot".
hsv() Set the colormap to "hsv".
imread(fname[, format]) Read an image from a file into an array.
imsave(fname, arr, **kwargs) Save an array as in image file.
imshow(X[, cmap, norm, aspect, ...]) Display an image, i.e.
inferno() Set the colormap to "inferno".
install_repl_displayhook() Install a repl display hook so that any stale figure are automatically redrawn when control is returned to the repl.
ioff() Turn the interactive mode off.
ion() Turn the interactive mode on.
isinteractive() Return the status of interactive mode.
jet() Set the colormap to "jet".
legend(*args, **kwargs) Place a legend on the axes.
locator_params([axis, tight]) Control behavior of tick locators.
loglog(*args, **kwargs) Make a plot with log scaling on both the x and y axis.
magma() Set the colormap to "magma".
magnitude_spectrum(x[, Fs, Fc, window, ...]) Plot the magnitude spectrum.
margins(*margins[, x, y, tight]) Set or retrieve autoscaling margins.
matshow(A[, fignum]) 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.
nipy_spectral() Set the colormap to "nipy_spectral".
pause(interval) Pause for interval seconds.
pcolor(*args[, alpha, norm, cmap, vmin, ...]) Create a pseudocolor plot with a non-regular rectangular grid.
pcolormesh(*args[, alpha, norm, cmap, vmin, ...]) Create a pseudocolor plot with a non-regular rectangular grid.
phase_spectrum(x[, Fs, Fc, window, pad_to, ...]) Plot the phase spectrum.
pie(x[, explode, labels, colors, autopct, ...]) Plot a pie chart.
pink() Set the colormap to "pink".
plasma() Set the colormap to "plasma".
plot(*args[, scalex, scaley, data]) Plot y versus x as lines and/or markers.
plot_date(x, y[, fmt, tz, xdate, ydate, data]) Plot data that contains dates.
plotfile(fname[, cols, plotfuncs, comments, ...]) Plot the data in a file.
polar(*args, **kwargs) Make a polar plot.
prism() Set the colormap to "prism".
psd(x[, NFFT, Fs, Fc, detrend, window, ...]) Plot the power spectral density.
quiver(*args[, data]) Plot a 2-D field of arrows.
quiverkey(Q, X, Y, U, label, **kw) Add a key to a quiver plot.
rc(group, **kwargs) Set the current rc params.
rc_context([rc, fname]) Return a context manager for managing rc settings.
rcdefaults() Restore the rc params from Matplotlib's internal default style.
rgrids(*args, **kwargs) Get or set the radial gridlines on the current polar plot.
savefig(*args, **kwargs) Save the current figure.
sca(ax) Set the current Axes instance to ax.
scatter(x, y[, s, c, marker, cmap, norm, ...]) A scatter plot of y vs x with varying marker size and/or color.
sci(im) Set the current image.
semilogx(*args, **kwargs) Make a plot with log scaling on the x axis.
semilogy(*args, **kwargs) Make a plot with log scaling on the y axis.
set_cmap(cmap) Set the default colormap.
setp(obj, *args, **kwargs) Set a property on an artist object.
show(*args, **kw) Display a figure.
specgram(x[, NFFT, Fs, Fc, detrend, window, ...]) Plot a spectrogram.
spring() Set the colormap to "spring".
spy(Z[, precision, marker, markersize, ...]) Plot the sparsity pattern of a 2D array.
stackplot(x, *args[, data]) Draw a stacked area plot.
stem(*args[, linefmt, markerfmt, basefmt, ...]) Create a stem plot.
step(x, y, *args[, where, data]) Make a step plot.
streamplot(x, y, u, v[, density, linewidth, ...]) Draw streamlines of a vector flow.
subplot(*args, **kwargs) Add a subplot to the current figure.
subplot2grid(shape, loc[, rowspan, colspan, fig]) Create an axis at specific location inside a regular grid.
subplot_tool([targetfig]) Launch a subplot tool window for a figure.
subplots([nrows, ncols, sharex, sharey, ...]) Create a figure and a set of subplots.
subplots_adjust([left, bottom, right, top, ...]) Tune the subplot layout.
summer() Set the colormap to "summer".
suptitle(t, **kwargs) Add a centered title to the figure.
switch_backend(newbackend) Close all open figures and set the Matplotlib backend.
table(**kwargs) Add a table to the current axes.
text(x, y, s[, fontdict, withdash]) Add text to the axes.
thetagrids(*args, **kwargs) Get or set the theta gridlines on the current polar plot.
tick_params([axis]) Change the appearance of ticks, tick labels, and gridlines.
ticklabel_format(*[, axis, style, ...]) Change the ScalarFormatter used by default for linear axes.
tight_layout([pad, h_pad, w_pad, rect]) Automatically adjust subplot parameters to give specified padding.
title(label[, fontdict, loc, pad]) Set a title for the axes.
tricontour(*args, **kwargs) Draw contours on an unstructured triangular grid.
tricontourf(*args, **kwargs) Draw contours on an unstructured triangular grid.
tripcolor(*args, **kwargs) Create a pseudocolor plot of an unstructured triangular grid.
triplot(*args, **kwargs) Draw a unstructured triangular grid as lines and/or markers.
twinx([ax]) Make a second axes that shares the x-axis.
twiny([ax]) Make a second axes that shares the y-axis.
uninstall_repl_displayhook() Uninstall the matplotlib display hook.
violinplot(dataset[, positions, vert, ...]) Make a violin plot.
viridis() Set the colormap to "viridis".
vlines(x, ymin, ymax[, colors, linestyles, ...]) Plot vertical lines.
waitforbuttonpress(*args, **kwargs) Blocking call to interact with the figure.
winter() Set the colormap to "winter".
xcorr(x, y[, normed, detrend, usevlines, ...]) Plot the cross correlation between x and y.
xkcd([scale, length, randomness]) Turn on xkcd sketch-style drawing mode.This will only have effect on things drawn after this function is called..
xlabel(xlabel[, fontdict, labelpad]) Set the label for the x-axis.
xlim(*args, **kwargs) Get or set the x limits of the current axes.
xscale(value, **kwargs) Set the x-axis scale.
xticks([ticks, labels]) Get or set the current tick locations and labels of the x-axis.
ylabel(ylabel[, fontdict, labelpad]) Set the label for the y-axis.
ylim(*args, **kwargs) Get or set the y-limits of the current axes.
yscale(value, **kwargs) Set the y-axis scale.
yticks([ticks, labels]) Get or set the current tick locations and labels of the y-axis.