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matplotlib.axes.Axes.hexbin Axes.hexbin(x, y, C=None, gridsize=100, bins=None, xscale='linear', yscale='linear', extent=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, edgecolors='face', reduce_C_function=<function mean>, mincnt=None, marginals=False, *, data=None, **kwargs)[source]
M... | matplotlib._as_gen.matplotlib.axes.axes.hexbin |
matplotlib.axes.Axes.hist Axes.hist(x, bins=None, range=None, density=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None, stacked=False, *, data=None, **kwargs)[source]
Plot a histogram. Compute and draw the histogr... | matplotlib._as_gen.matplotlib.axes.axes.hist |
matplotlib.axes.Axes.hist2d Axes.hist2d(x, y, bins=10, range=None, density=False, weights=None, cmin=None, cmax=None, *, data=None, **kwargs)[source]
Make a 2D histogram plot. Parameters
x, yarray-like, shape (n, )
Input values
binsNone or int or [int, int] or array-like or [array, array]
The bin specific... | matplotlib._as_gen.matplotlib.axes.axes.hist2d |
matplotlib.axes.Axes.hlines Axes.hlines(y, xmin, xmax, colors=None, linestyles='solid', label='', *, data=None, **kwargs)[source]
Plot horizontal lines at each y from xmin to xmax. Parameters
yfloat or array-like
y-indexes where to plot the lines.
xmin, xmaxfloat or array-like
Respective beginning and end... | matplotlib._as_gen.matplotlib.axes.axes.hlines |
matplotlib.axes.Axes.imshow Axes.imshow(X, cmap=None, norm=None, *, aspect=None, interpolation=None, alpha=None, vmin=None, vmax=None, origin=None, extent=None, interpolation_stage=None, filternorm=True, filterrad=4.0, resample=None, url=None, data=None, **kwargs)[source]
Display data as an image, i.e., on a 2D reg... | matplotlib._as_gen.matplotlib.axes.axes.imshow |
matplotlib.axes.Axes.in_axes Axes.in_axes(mouseevent)[source]
Return whether the given event (in display coords) is in the Axes. | matplotlib._as_gen.matplotlib.axes.axes.in_axes |
matplotlib.axes.Axes.indicate_inset Axes.indicate_inset(bounds, inset_ax=None, *, transform=None, facecolor='none', edgecolor='0.5', alpha=0.5, zorder=4.99, **kwargs)[source]
Add an inset indicator to the Axes. This is a rectangle on the plot at the position indicated by bounds that optionally has lines that connec... | matplotlib._as_gen.matplotlib.axes.axes.indicate_inset |
matplotlib.axes.Axes.indicate_inset_zoom Axes.indicate_inset_zoom(inset_ax, **kwargs)[source]
Add an inset indicator rectangle to the Axes based on the axis limits for an inset_ax and draw connectors between inset_ax and the rectangle. Parameters
inset_axAxes
Inset Axes to draw connecting lines to. Two lines ... | matplotlib._as_gen.matplotlib.axes.axes.indicate_inset_zoom |
matplotlib.axes.Axes.inset_axes Axes.inset_axes(bounds, *, transform=None, zorder=5, **kwargs)[source]
Add a child inset Axes to this existing Axes. Parameters
bounds[x0, y0, width, height]
Lower-left corner of inset Axes, and its width and height.
transformTransform
Defaults to ax.transAxes, i.e. the uni... | matplotlib._as_gen.matplotlib.axes.axes.inset_axes |
matplotlib.axes.Axes.invert_xaxis Axes.invert_xaxis()[source]
Invert the x-axis. See also xaxis_inverted
get_xlim, set_xlim
get_xbound, set_xbound | matplotlib._as_gen.matplotlib.axes.axes.invert_xaxis |
matplotlib.axes.Axes.invert_yaxis Axes.invert_yaxis()[source]
Invert the y-axis. See also yaxis_inverted
get_ylim, set_ylim
get_ybound, set_ybound
Examples using matplotlib.axes.Axes.invert_yaxis
Bar Label Demo
Horizontal bar chart
Marker reference | matplotlib._as_gen.matplotlib.axes.axes.invert_yaxis |
matplotlib.axes.Axes.legend Axes.legend(*args, **kwargs)[source]
Place a legend on the Axes. Call signatures: legend()
legend(handles, labels)
legend(handles=handles)
legend(labels)
The call signatures correspond to the following different ways to use this method: 1. Automatic detection of elements to be shown in ... | matplotlib._as_gen.matplotlib.axes.axes.legend |
matplotlib.axes.Axes.locator_params Axes.locator_params(axis='both', tight=None, **kwargs)[source]
Control behavior of major tick locators. Because the locator is involved in autoscaling, autoscale_view is called automatically after the parameters are changed. Parameters
axis{'both', 'x', 'y'}, default: 'both'
... | matplotlib._as_gen.matplotlib.axes.axes.locator_params |
matplotlib.axes.Axes.loglog Axes.loglog(*args, **kwargs)[source]
Make a plot with log scaling on both the x and y axis. Call signatures: loglog([x], y, [fmt], data=None, **kwargs)
loglog([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
This is just a thin wrapper around plot which additionally changes both the x-ax... | matplotlib._as_gen.matplotlib.axes.axes.loglog |
matplotlib.axes.Axes.magnitude_spectrum Axes.magnitude_spectrum(x, Fs=None, Fc=None, window=None, pad_to=None, sides=None, scale=None, *, data=None, **kwargs)[source]
Plot the magnitude spectrum. Compute the magnitude spectrum of x. Data is padded to a length of pad_to and the windowing function window is applied t... | matplotlib._as_gen.matplotlib.axes.axes.magnitude_spectrum |
matplotlib.axes.Axes.margins Axes.margins(*margins, x=None, y=None, tight=True)[source]
Set or retrieve autoscaling margins. The padding added to each limit of the Axes is the margin times the data interval. All input parameters must be floats within the range [0, 1]. Passing both positional and keyword arguments i... | matplotlib._as_gen.matplotlib.axes.axes.margins |
matplotlib.axes.Axes.matshow Axes.matshow(Z, **kwargs)[source]
Plot the values of a 2D matrix or array as color-coded image. The matrix will be shown the way it would be printed, with the first row at the top. Row and column numbering is zero-based. Parameters
Z(M, N) array-like
The matrix to be displayed. ... | matplotlib._as_gen.matplotlib.axes.axes.matshow |
matplotlib.axes.Axes.minorticks_off Axes.minorticks_off()[source]
Remove minor ticks from the Axes. | matplotlib._as_gen.matplotlib.axes.axes.minorticks_off |
matplotlib.axes.Axes.minorticks_on Axes.minorticks_on()[source]
Display minor ticks on the Axes. Displaying minor ticks may reduce performance; you may turn them off using minorticks_off() if drawing speed is a problem.
Examples using matplotlib.axes.Axes.minorticks_on
MRI With EEG | matplotlib._as_gen.matplotlib.axes.axes.minorticks_on |
matplotlib.axes.Axes.mouseover propertyAxes.mouseover
If this property is set to True, the artist will be queried for custom context information when the mouse cursor moves over it. See also get_cursor_data(), ToolCursorPosition and NavigationToolbar2. | matplotlib._as_gen.matplotlib.axes.axes.mouseover |
matplotlib.axes.Axes.name Axes.name='rectilinear' | matplotlib._as_gen.matplotlib.axes.axes.name |
matplotlib.axes.Axes.pchanged Axes.pchanged()[source]
Call all of the registered callbacks. This function is triggered internally when a property is changed. See also add_callback
remove_callback | matplotlib._as_gen.matplotlib.axes.axes.pchanged |
matplotlib.axes.Axes.pcolor Axes.pcolor(*args, shading=None, alpha=None, norm=None, cmap=None, vmin=None, vmax=None, data=None, **kwargs)[source]
Create a pseudocolor plot with a non-regular rectangular grid. Call signature: pcolor([X, Y,] C, **kwargs)
X and Y can be used to specify the corners of the quadrilatera... | matplotlib._as_gen.matplotlib.axes.axes.pcolor |
matplotlib.axes.Axes.pcolorfast Axes.pcolorfast(*args, alpha=None, norm=None, cmap=None, vmin=None, vmax=None, data=None, **kwargs)[source]
Create a pseudocolor plot with a non-regular rectangular grid. Call signature: ax.pcolorfast([X, Y], C, /, **kwargs)
This method is similar to pcolor and pcolormesh. It's desi... | matplotlib._as_gen.matplotlib.axes.axes.pcolorfast |
matplotlib.axes.Axes.pcolormesh Axes.pcolormesh(*args, alpha=None, norm=None, cmap=None, vmin=None, vmax=None, shading=None, antialiased=False, data=None, **kwargs)[source]
Create a pseudocolor plot with a non-regular rectangular grid. Call signature: pcolormesh([X, Y,] C, **kwargs)
X and Y can be used to specify ... | matplotlib._as_gen.matplotlib.axes.axes.pcolormesh |
matplotlib.axes.Axes.phase_spectrum Axes.phase_spectrum(x, Fs=None, Fc=None, window=None, pad_to=None, sides=None, *, data=None, **kwargs)[source]
Plot the phase spectrum. Compute the phase spectrum (unwrapped angle spectrum) of x. Data is padded to a length of pad_to and the windowing function window is applied to... | matplotlib._as_gen.matplotlib.axes.axes.phase_spectrum |
matplotlib.axes.Axes.pie Axes.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=(0, 0), frame=False, rotatelabels=False, *, normalize=True, data=None)[source]
Plot a pie ch... | matplotlib._as_gen.matplotlib.axes.axes.pie |
matplotlib.axes.Axes.plot Axes.plot(*args, scalex=True, scaley=True, data=None, **kwargs)[source]
Plot y versus x as lines and/or markers. Call signatures: plot([x], y, [fmt], *, data=None, **kwargs)
plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
The coordinates of the points or line nodes are given by x, y.... | matplotlib._as_gen.matplotlib.axes.axes.plot |
matplotlib.axes.Axes.plot_date Axes.plot_date(x, y, fmt='o', tz=None, xdate=True, ydate=False, *, data=None, **kwargs)[source]
Plot coercing the axis to treat floats as dates. Discouraged This method exists for historic reasons and will be deprecated in the future.
datetime-like data should directly be plotted u... | matplotlib._as_gen.matplotlib.axes.axes.plot_date |
matplotlib.axes.Axes.psd Axes.psd(x, NFFT=None, Fs=None, Fc=None, detrend=None, window=None, noverlap=None, pad_to=None, sides=None, scale_by_freq=None, return_line=None, *, data=None, **kwargs)[source]
Plot the power spectral density. The power spectral density \(P_{xx}\) by Welch's average periodogram method. The... | matplotlib._as_gen.matplotlib.axes.axes.psd |
matplotlib.axes.Axes.quiver Axes.quiver(*args, data=None, **kwargs)[source]
Plot a 2D field of arrows. Call signature: quiver([X, Y], U, V, [C], **kw)
X, Y define the arrow locations, U, V define the arrow directions, and C optionally sets the color. Each arrow is internally represented by a filled polygon with a ... | matplotlib._as_gen.matplotlib.axes.axes.quiver |
matplotlib.axes.Axes.quiverkey Axes.quiverkey(Q, X, Y, U, label, **kwargs)[source]
Add a key to a quiver plot. The positioning of the key depends on X, Y, coordinates, and labelpos. If labelpos is 'N' or 'S', X, Y give the position of the middle of the key arrow. If labelpos is 'E', X, Y positions the head, and if ... | matplotlib._as_gen.matplotlib.axes.axes.quiverkey |
matplotlib.axes.Axes.redraw_in_frame Axes.redraw_in_frame()[source]
Efficiently redraw Axes data, but not axis ticks, labels, etc. This method can only be used after an initial draw which caches the renderer. | matplotlib._as_gen.matplotlib.axes.axes.redraw_in_frame |
matplotlib.axes.Axes.relim Axes.relim(visible_only=False)[source]
Recompute the data limits based on current artists. At present, Collection instances are not supported. Parameters
visible_onlybool, default: False
Whether to exclude invisible artists.
Examples using matplotlib.axes.Axes.relim
Pack... | matplotlib._as_gen.matplotlib.axes.axes.relim |
matplotlib.axes.Axes.remove_callback Axes.remove_callback(oid)[source]
Remove a callback based on its observer id. See also add_callback | matplotlib._as_gen.matplotlib.axes.axes.remove_callback |
matplotlib.axes.Axes.reset_position Axes.reset_position()[source]
Reset the active position to the original position. This resets the a possible position change due to aspect constraints. For an explanation of the positions see set_position. | matplotlib._as_gen.matplotlib.axes.axes.reset_position |
matplotlib.axes.Axes.scatter Axes.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None, plotnonfinite=False, data=None, **kwargs)[source]
A scatter plot of y vs. x with varying marker size and/or color. Parameters
x, yfloat or arr... | matplotlib._as_gen.matplotlib.axes.axes.scatter |
matplotlib.axes.Axes.secondary_xaxis Axes.secondary_xaxis(location, *, functions=None, **kwargs)[source]
Add a second x-axis to this Axes. For example if we want to have a second scale for the data plotted on the xaxis. Parameters
location{'top', 'bottom', 'left', 'right'} or float
The position to put the sec... | matplotlib._as_gen.matplotlib.axes.axes.secondary_xaxis |
matplotlib.axes.Axes.secondary_yaxis Axes.secondary_yaxis(location, *, functions=None, **kwargs)[source]
Add a second y-axis to this Axes. For example if we want to have a second scale for the data plotted on the yaxis. Parameters
location{'top', 'bottom', 'left', 'right'} or float
The position to put the sec... | matplotlib._as_gen.matplotlib.axes.axes.secondary_yaxis |
matplotlib.axes.Axes.semilogx Axes.semilogx(*args, **kwargs)[source]
Make a plot with log scaling on the x axis. Call signatures: semilogx([x], y, [fmt], data=None, **kwargs)
semilogx([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
This is just a thin wrapper around plot which additionally changes the x-axis to lo... | matplotlib._as_gen.matplotlib.axes.axes.semilogx |
matplotlib.axes.Axes.semilogy Axes.semilogy(*args, **kwargs)[source]
Make a plot with log scaling on the y axis. Call signatures: semilogy([x], y, [fmt], data=None, **kwargs)
semilogy([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
This is just a thin wrapper around plot which additionally changes the y-axis to lo... | matplotlib._as_gen.matplotlib.axes.axes.semilogy |
matplotlib.axes.Axes.set Axes.set(*, adjustable=<UNSET>, agg_filter=<UNSET>, alpha=<UNSET>, anchor=<UNSET>, animated=<UNSET>, aspect=<UNSET>, autoscale_on=<UNSET>, autoscalex_on=<UNSET>, autoscaley_on=<UNSET>, axes_locator=<UNSET>, axisbelow=<UNSET>, box_aspect=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<U... | matplotlib._as_gen.matplotlib.axes.axes.set |
matplotlib.axes.Axes.set_adjustable Axes.set_adjustable(adjustable, share=False)[source]
Set how the Axes adjusts to achieve the required aspect ratio. Parameters
adjustable{'box', 'datalim'}
If 'box', change the physical dimensions of the Axes. If 'datalim', change the x or y data limits.
sharebool, defaul... | matplotlib._as_gen.matplotlib.axes.axes.set_adjustable |
matplotlib.axes.Axes.set_anchor Axes.set_anchor(anchor, share=False)[source]
Define the anchor location. The actual drawing area (active position) of the Axes may be smaller than the Bbox (original position) when a fixed aspect is required. The anchor defines where the drawing area will be located within the availa... | matplotlib._as_gen.matplotlib.axes.axes.set_anchor |
matplotlib.axes.Axes.set_aspect Axes.set_aspect(aspect, adjustable=None, anchor=None, share=False)[source]
Set the aspect ratio of the axes scaling, i.e. y/x-scale. Parameters
aspect{'auto', 'equal'} or float
Possible values: 'auto': fill the position rectangle with data. 'equal': same as aspect=1, i.e. same... | matplotlib._as_gen.matplotlib.axes.axes.set_aspect |
matplotlib.axes.Axes.set_autoscale_on Axes.set_autoscale_on(b)[source]
Set whether autoscaling is applied to each axis on the next draw or call to Axes.autoscale_view. Parameters
bbool
Examples using matplotlib.axes.Axes.set_autoscale_on
Resampling Data | matplotlib._as_gen.matplotlib.axes.axes.set_autoscale_on |
matplotlib.axes.Axes.set_autoscalex_on Axes.set_autoscalex_on(b)[source]
Set whether the x-axis is autoscaled on the next draw or call to Axes.autoscale_view. Parameters
bbool | matplotlib._as_gen.matplotlib.axes.axes.set_autoscalex_on |
matplotlib.axes.Axes.set_autoscaley_on Axes.set_autoscaley_on(b)[source]
Set whether the y-axis is autoscaled on the next draw or call to Axes.autoscale_view. Parameters
bbool | matplotlib._as_gen.matplotlib.axes.axes.set_autoscaley_on |
matplotlib.axes.Axes.set_axes_locator Axes.set_axes_locator(locator)[source]
Set the Axes locator. Parameters
locatorCallable[[Axes, Renderer], Bbox]
Examples using matplotlib.axes.Axes.set_axes_locator
HBoxDivider demo | matplotlib._as_gen.matplotlib.axes.axes.set_axes_locator |
matplotlib.axes.Axes.set_axis_off Axes.set_axis_off()[source]
Turn the x- and y-axis off. This affects the axis lines, ticks, ticklabels, grid and axis labels.
Examples using matplotlib.axes.Axes.set_axis_off
Marker reference
Barcode
Blend transparency with color in 2D images
Nested pie... | matplotlib._as_gen.matplotlib.axes.axes.set_axis_off |
matplotlib.axes.Axes.set_axis_on Axes.set_axis_on()[source]
Turn the x- and y-axis on. This affects the axis lines, ticks, ticklabels, grid and axis labels. | matplotlib._as_gen.matplotlib.axes.axes.set_axis_on |
matplotlib.axes.Axes.set_axisbelow Axes.set_axisbelow(b)[source]
Set whether axis ticks and gridlines are above or below most artists. This controls the zorder of the ticks and gridlines. For more information on the zorder see Zorder Demo. Parameters
bbool or 'line'
Possible values:
True (zorder = 0.5): Tic... | matplotlib._as_gen.matplotlib.axes.axes.set_axisbelow |
matplotlib.axes.Axes.set_box_aspect Axes.set_box_aspect(aspect=None)[source]
Set the Axes box aspect, i.e. the ratio of height to width. This defines the aspect of the Axes in figure space and is not to be confused with the data aspect (see set_aspect). Parameters
aspectfloat or None
Changes the physical dime... | matplotlib._as_gen.matplotlib.axes.axes.set_box_aspect |
matplotlib.axes.Axes.set_facecolor Axes.set_facecolor(color)[source]
Set the facecolor of the Axes. Parameters
colorcolor
Examples using matplotlib.axes.Axes.set_facecolor
Color Demo | matplotlib._as_gen.matplotlib.axes.axes.set_facecolor |
matplotlib.axes.Axes.set_frame_on Axes.set_frame_on(b)[source]
Set whether the Axes rectangle patch is drawn. Parameters
bbool | matplotlib._as_gen.matplotlib.axes.axes.set_frame_on |
matplotlib.axes.Axes.set_navigate Axes.set_navigate(b)[source]
Set whether the Axes responds to navigation toolbar commands. Parameters
bbool | matplotlib._as_gen.matplotlib.axes.axes.set_navigate |
matplotlib.axes.Axes.set_navigate_mode Axes.set_navigate_mode(b)[source]
Set the navigation toolbar button status. Warning this is not a user-API function. | matplotlib._as_gen.matplotlib.axes.axes.set_navigate_mode |
matplotlib.axes.Axes.set_position Axes.set_position(pos, which='both')[source]
Set the Axes position. Axes have two position attributes. The 'original' position is the position allocated for the Axes. The 'active' position is the position the Axes is actually drawn at. These positions are usually the same unless a ... | matplotlib._as_gen.matplotlib.axes.axes.set_position |
matplotlib.axes.Axes.set_prop_cycle Axes.set_prop_cycle(*args, **kwargs)[source]
Set the property cycle of the Axes. The property cycle controls the style properties such as color, marker and linestyle of future plot commands. The style properties of data already added to the Axes are not modified. Call signatures:... | matplotlib._as_gen.matplotlib.axes.axes.set_prop_cycle |
matplotlib.axes.Axes.set_rasterization_zorder Axes.set_rasterization_zorder(z)[source]
Set the zorder threshold for rasterization for vector graphics output. All artists with a zorder below the given value will be rasterized if they support rasterization. This setting is ignored for pixel-based output. See also Ras... | matplotlib._as_gen.matplotlib.axes.axes.set_rasterization_zorder |
matplotlib.axes.Axes.set_title Axes.set_title(label, fontdict=None, loc=None, pad=None, *, y=None, **kwargs)[source]
Set a title for the Axes. Set one of the three available Axes titles. The available titles are positioned above the Axes in the center, flush with the left edge, and flush with the right edge. Param... | matplotlib._as_gen.matplotlib.axes.axes.set_title |
matplotlib.axes.Axes.set_xbound Axes.set_xbound(lower=None, upper=None)[source]
Set the lower and upper numerical bounds of the x-axis. This method will honor axis inversion regardless of parameter order. It will not change the autoscaling setting (get_autoscalex_on()). Parameters
lower, upperfloat or None
Th... | matplotlib._as_gen.matplotlib.axes.axes.set_xbound |
matplotlib.axes.Axes.set_xlabel Axes.set_xlabel(xlabel, fontdict=None, labelpad=None, *, loc=None, **kwargs)[source]
Set the label for the x-axis. Parameters
xlabelstr
The label text.
labelpadfloat, default: rcParams["axes.labelpad"] (default: 4.0)
Spacing in points from the Axes bounding box including ti... | matplotlib._as_gen.matplotlib.axes.axes.set_xlabel |
matplotlib.axes.Axes.set_xlim Axes.set_xlim(left=None, right=None, emit=True, auto=False, *, xmin=None, xmax=None)[source]
Set the x-axis view limits. Parameters
leftfloat, optional
The left xlim in data coordinates. Passing None leaves the limit unchanged. The left and right xlims may also be passed as the t... | matplotlib._as_gen.matplotlib.axes.axes.set_xlim |
matplotlib.axes.Axes.set_xmargin Axes.set_xmargin(m)[source]
Set padding of X data limits prior to autoscaling. m times the data interval will be added to each end of that interval before it is used in autoscaling. For example, if your data is in the range [0, 2], a factor of m = 0.1 will result in a range [-0.2, 2... | matplotlib._as_gen.matplotlib.axes.axes.set_xmargin |
matplotlib.axes.Axes.set_xscale Axes.set_xscale(value, **kwargs)[source]
Set the x-axis scale. Parameters
value{"linear", "log", "symlog", "logit", ...} or ScaleBase
The axis scale type to apply. **kwargs
Different keyword arguments are accepted, depending on the scale. See the respective class keyword argu... | matplotlib._as_gen.matplotlib.axes.axes.set_xscale |
matplotlib.axes.Axes.set_xticklabels Axes.set_xticklabels(labels, *, fontdict=None, minor=False, **kwargs)[source]
Set the xaxis' labels with list of string labels. Warning This method should only be used after fixing the tick positions using Axes.set_xticks. Otherwise, the labels may end up in unexpected position... | matplotlib._as_gen.matplotlib.axes.axes.set_xticklabels |
matplotlib.axes.Axes.set_xticks Axes.set_xticks(ticks, labels=None, *, minor=False, **kwargs)[source]
Set the xaxis' tick locations and optionally labels. If necessary, the view limits of the Axis are expanded so that all given ticks are visible. Parameters
tickslist of floats
List of tick locations.
labels... | matplotlib._as_gen.matplotlib.axes.axes.set_xticks |
matplotlib.axes.Axes.set_ybound Axes.set_ybound(lower=None, upper=None)[source]
Set the lower and upper numerical bounds of the y-axis. This method will honor axis inversion regardless of parameter order. It will not change the autoscaling setting (get_autoscaley_on()). Parameters
lower, upperfloat or None
Th... | matplotlib._as_gen.matplotlib.axes.axes.set_ybound |
matplotlib.axes.Axes.set_ylabel Axes.set_ylabel(ylabel, fontdict=None, labelpad=None, *, loc=None, **kwargs)[source]
Set the label for the y-axis. Parameters
ylabelstr
The label text.
labelpadfloat, default: rcParams["axes.labelpad"] (default: 4.0)
Spacing in points from the Axes bounding box including ti... | matplotlib._as_gen.matplotlib.axes.axes.set_ylabel |
matplotlib.axes.Axes.set_ylim Axes.set_ylim(bottom=None, top=None, emit=True, auto=False, *, ymin=None, ymax=None)[source]
Set the y-axis view limits. Parameters
bottomfloat, optional
The bottom ylim in data coordinates. Passing None leaves the limit unchanged. The bottom and top ylims may also be passed as t... | matplotlib._as_gen.matplotlib.axes.axes.set_ylim |
matplotlib.axes.Axes.set_ymargin Axes.set_ymargin(m)[source]
Set padding of Y data limits prior to autoscaling. m times the data interval will be added to each end of that interval before it is used in autoscaling. For example, if your data is in the range [0, 2], a factor of m = 0.1 will result in a range [-0.2, 2... | matplotlib._as_gen.matplotlib.axes.axes.set_ymargin |
matplotlib.axes.Axes.set_yscale Axes.set_yscale(value, **kwargs)[source]
Set the y-axis scale. Parameters
value{"linear", "log", "symlog", "logit", ...} or ScaleBase
The axis scale type to apply. **kwargs
Different keyword arguments are accepted, depending on the scale. See the respective class keyword argu... | matplotlib._as_gen.matplotlib.axes.axes.set_yscale |
matplotlib.axes.Axes.set_yticklabels Axes.set_yticklabels(labels, *, fontdict=None, minor=False, **kwargs)[source]
Set the yaxis' labels with list of string labels. Warning This method should only be used after fixing the tick positions using Axes.set_yticks. Otherwise, the labels may end up in unexpected position... | matplotlib._as_gen.matplotlib.axes.axes.set_yticklabels |
matplotlib.axes.Axes.set_yticks Axes.set_yticks(ticks, labels=None, *, minor=False, **kwargs)[source]
Set the yaxis' tick locations and optionally labels. If necessary, the view limits of the Axis are expanded so that all given ticks are visible. Parameters
tickslist of floats
List of tick locations.
labels... | matplotlib._as_gen.matplotlib.axes.axes.set_yticks |
matplotlib.axes.Axes.sharex Axes.sharex(other)[source]
Share the x-axis with other. This is equivalent to passing sharex=other when constructing the axes, and cannot be used if the x-axis is already being shared with another Axes. | matplotlib._as_gen.matplotlib.axes.axes.sharex |
matplotlib.axes.Axes.sharey Axes.sharey(other)[source]
Share the y-axis with other. This is equivalent to passing sharey=other when constructing the axes, and cannot be used if the y-axis is already being shared with another Axes. | matplotlib._as_gen.matplotlib.axes.axes.sharey |
matplotlib.axes.Axes.specgram Axes.specgram(x, NFFT=None, Fs=None, Fc=None, detrend=None, window=None, noverlap=None, cmap=None, xextent=None, pad_to=None, sides=None, scale_by_freq=None, mode=None, scale=None, vmin=None, vmax=None, *, data=None, **kwargs)[source]
Plot a spectrogram. Compute and plot a spectrogram ... | matplotlib._as_gen.matplotlib.axes.axes.specgram |
matplotlib.axes.Axes.spy Axes.spy(Z, precision=0, marker=None, markersize=None, aspect='equal', origin='upper', **kwargs)[source]
Plot the sparsity pattern of a 2D array. This visualizes the non-zero values of the array. Two plotting styles are available: image and marker. Both are available for full arrays, but on... | matplotlib._as_gen.matplotlib.axes.axes.spy |
matplotlib.axes.Axes.stackplot Axes.stackplot(x, *args, labels=(), colors=None, baseline='zero', data=None, **kwargs)[source]
Draw a stacked area plot. Parameters
x(N,) array-like
y(M, N) array-like
The data is assumed to be unstacked. Each of the following calls is legal: stackplot(x, y) # where ... | matplotlib._as_gen.matplotlib.axes.axes.stackplot |
matplotlib.axes.Axes.stairs Axes.stairs(values, edges=None, *, orientation='vertical', baseline=0, fill=False, data=None, **kwargs)[source]
A stepwise constant function as a line with bounding edges or a filled plot. Parameters
valuesarray-like
The step heights.
edgesarray-like
The edge positions, with le... | matplotlib._as_gen.matplotlib.axes.axes.stairs |
matplotlib.axes.Axes.stale propertyAxes.stale
Whether the artist is 'stale' and needs to be re-drawn for the output to match the internal state of the artist. | matplotlib._as_gen.matplotlib.axes.axes.stale |
matplotlib.axes.Axes.start_pan Axes.start_pan(x, y, button)[source]
Called when a pan operation has started. Parameters
x, yfloat
The mouse coordinates in display coords.
buttonMouseButton
The pressed mouse button. Notes This is intended to be overridden by new projection types. | matplotlib._as_gen.matplotlib.axes.axes.start_pan |
matplotlib.axes.Axes.stem Axes.stem(*args, linefmt=None, markerfmt=None, basefmt=None, bottom=0, label=None, use_line_collection=True, orientation='vertical', data=None)[source]
Create a stem plot. A stem plot draws lines perpendicular to a baseline at each location locs from the baseline to heads, and places a mar... | matplotlib._as_gen.matplotlib.axes.axes.stem |
matplotlib.axes.Axes.step Axes.step(x, y, *args, where='pre', data=None, **kwargs)[source]
Make a step plot. Call signatures: step(x, y, [fmt], *, data=None, where='pre', **kwargs)
step(x, y, [fmt], x2, y2, [fmt2], ..., *, where='pre', **kwargs)
This is just a thin wrapper around plot which changes some formatting... | matplotlib._as_gen.matplotlib.axes.axes.step |
matplotlib.axes.Axes.streamplot Axes.streamplot(x, y, u, v, density=1, linewidth=None, color=None, cmap=None, norm=None, arrowsize=1, arrowstyle='-|>', minlength=0.1, transform=None, zorder=None, start_points=None, maxlength=4.0, integration_direction='both', *, data=None)[source]
Draw streamlines of a vector flow.... | matplotlib._as_gen.matplotlib.axes.axes.streamplot |
matplotlib.axes.Axes.table Axes.table(cellText=None, cellColours=None, cellLoc='right', colWidths=None, rowLabels=None, rowColours=None, rowLoc='left', colLabels=None, colColours=None, colLoc='center', loc='bottom', bbox=None, edges='closed', **kwargs)[source]
Add a table to an Axes. At least one of cellText or cel... | matplotlib._as_gen.matplotlib.axes.axes.table |
matplotlib.axes.Axes.text Axes.text(x, y, s, fontdict=None, **kwargs)[source]
Add text to the Axes. Add the text s to the Axes at location x, y in data coordinates. Parameters
x, yfloat
The position to place the text. By default, this is in data coordinates. The coordinate system can be changed using the tran... | matplotlib._as_gen.matplotlib.axes.axes.text |
matplotlib.axes.Axes.tick_params Axes.tick_params(axis='both', **kwargs)[source]
Change the appearance of ticks, tick labels, and gridlines. Tick properties that are not explicitly set using the keyword arguments remain unchanged unless reset is True. Parameters
axis{'x', 'y', 'both'}, default: 'both'
The axi... | matplotlib._as_gen.matplotlib.axes.axes.tick_params |
matplotlib.axes.Axes.ticklabel_format Axes.ticklabel_format(*, axis='both', style='', scilimits=None, useOffset=None, useLocale=None, useMathText=None)[source]
Configure the ScalarFormatter used by default for linear axes. If a parameter is not set, the corresponding property of the formatter is left unchanged. Pa... | matplotlib._as_gen.matplotlib.axes.axes.ticklabel_format |
matplotlib.axes.Axes.tricontour Axes.tricontour(*args, **kwargs)[source]
Draw contour lines on an unstructured triangular grid. The triangulation can be specified in one of two ways; either tricontour(triangulation, ...)
where triangulation is a Triangulation object, or tricontour(x, y, ...)
tricontour(x, y, trian... | matplotlib._as_gen.matplotlib.axes.axes.tricontour |
matplotlib.axes.Axes.tricontourf Axes.tricontourf(*args, **kwargs)[source]
Draw contour regions on an unstructured triangular grid. The triangulation can be specified in one of two ways; either tricontourf(triangulation, ...)
where triangulation is a Triangulation object, or tricontourf(x, y, ...)
tricontourf(x, y... | matplotlib._as_gen.matplotlib.axes.axes.tricontourf |
matplotlib.axes.Axes.tripcolor Axes.tripcolor(*args, alpha=1.0, norm=None, cmap=None, vmin=None, vmax=None, shading='flat', facecolors=None, **kwargs)[source]
Create a pseudocolor plot of an unstructured triangular grid. The triangulation can be specified in one of two ways; either: tripcolor(triangulation, ...)
w... | matplotlib._as_gen.matplotlib.axes.axes.tripcolor |
matplotlib.axes.Axes.triplot Axes.triplot(*args, **kwargs)[source]
Draw a unstructured triangular grid as lines and/or markers. The triangulation to plot can be specified in one of two ways; either: triplot(triangulation, ...)
where triangulation is a Triangulation object, or triplot(x, y, ...)
triplot(x, y, trian... | matplotlib._as_gen.matplotlib.axes.axes.triplot |
matplotlib.axes.Axes.twinx Axes.twinx()[source]
Create a twin Axes sharing the xaxis. Create a new Axes with an invisible x-axis and an independent y-axis positioned opposite to the original one (i.e. at right). The x-axis autoscale setting will be inherited from the original Axes. To ensure that the tick marks of ... | matplotlib._as_gen.matplotlib.axes.axes.twinx |
matplotlib.axes.Axes.twiny Axes.twiny()[source]
Create a twin Axes sharing the yaxis. Create a new Axes with an invisible y-axis and an independent x-axis positioned opposite to the original one (i.e. at top). The y-axis autoscale setting will be inherited from the original Axes. To ensure that the tick marks of bo... | matplotlib._as_gen.matplotlib.axes.axes.twiny |
matplotlib.axes.Axes.update_datalim Axes.update_datalim(xys, updatex=True, updatey=True)[source]
Extend the dataLim Bbox to include the given points. If no data is set currently, the Bbox will ignore its limits and set the bound to be the bounds of the xydata (xys). Otherwise, it will compute the bounds of the unio... | matplotlib._as_gen.matplotlib.axes.axes.update_datalim |
matplotlib.axes.Axes.use_sticky_edges propertyAxes.use_sticky_edges
When autoscaling, whether to obey all Artist.sticky_edges. Default is True. Setting this to False ensures that the specified margins will be applied, even if the plot includes an image, for example, which would otherwise force a view limit to coinc... | matplotlib._as_gen.matplotlib.axes.axes.use_sticky_edges |
matplotlib.axes.Axes.violin Axes.violin(vpstats, positions=None, vert=True, widths=0.5, showmeans=False, showextrema=True, showmedians=False)[source]
Drawing function for violin plots. Draw a violin plot for each column of vpstats. Each filled area extends to represent the entire data range, with optional lines at ... | matplotlib._as_gen.matplotlib.axes.axes.violin |
matplotlib.axes.Axes.violinplot Axes.violinplot(dataset, positions=None, vert=True, widths=0.5, showmeans=False, showextrema=True, showmedians=False, quantiles=None, points=100, bw_method=None, *, data=None)[source]
Make a violin plot. Make a violin plot for each column of dataset or each vector in sequence dataset... | matplotlib._as_gen.matplotlib.axes.axes.violinplot |
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