Matplotlib函数手册

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

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