`matplotlib.projections.polar`#

class matplotlib.projections.polar.InvertedPolarTransform(axis=None, use_rmin=True, *, apply_theta_transforms=True)[source]#

Bases: Transform

The inverse of the polar transform, mapping Cartesian coordinate space x and y back to theta and r.

Parameters:

axisAxis, optional: Axis associated with this transform. This is used to get the minimum radial limit.
use_rminbool, optional: If True, add the minimum radial axis limit after transforming from Cartesian coordinates. axis must also be specified for this to take effect.

has_inverse = True#: True if this transform has a corresponding inverse transform.

input_dims = 2#: The number of input dimensions of this transform. Must be overridden (with integers) in the subclass.

inverted()[source]#

Return the corresponding inverse transformation.

It holds x == self.inverted().transform(self.transform(x)).

The return value of this method should be treated as temporary. An update to self does not cause a corresponding update to its inverted copy.

output_dims = 2#: The number of output dimensions of this transform. Must be overridden (with integers) in the subclass.

transform_non_affine(values)[source]#

Apply only the non-affine part of this transformation.

transform(values) is always equivalent to transform_affine(transform_non_affine(values)).

In non-affine transformations, this is generally equivalent to transform(values). In affine transformations, this is always a no-op.

Parameters:

valuesarray: The input values as an array of length input_dims or shape (N, input_dims).

Returns:

array: The output values as an array of length output_dims or shape (N, output_dims), depending on the input.

class matplotlib.projections.polar.PolarAffine(scale_transform, limits)[source]#

Bases: Affine2DBase

The affine part of the polar projection.

Scales the output so that maximum radius rests on the edge of the Axes circle and the origin is mapped to (0.5, 0.5). The transform applied is the same to x and y components and given by:

\[x_{1} = 0.5 \left [ \frac{x_{0}}{(r_{\max} - r_{\min})} + 1 \right ]\]

\(r_{\min}, r_{\max}\) are the minimum and maximum radial limits after any scaling (e.g. log scaling) has been removed.

Parameters:

scale_transformTransform: Scaling transform for the data. This is used to remove any scaling from the radial view limits.
limitsBboxBase: View limits of the data. The only part of its bounds that is used is the y limits (for the radius limits).

get_matrix()[source]#: Get the matrix for the affine part of this transform.

class matplotlib.projections.polar.PolarAxes(*args, theta_offset=0, theta_direction=1, rlabel_position=22.5, **kwargs)[source]#

Bases: Axes

A polar graph projection, where the input dimensions are theta, r.

Theta starts pointing east and goes anti-clockwise.

Build an Axes in a figure.

Parameters:

figFigure

The Axes is built in the Figure fig.

*args

*args can be a single (left, bottom, width, height) rectangle or a single Bbox. This specifies the rectangle (in figure coordinates) where the Axes is positioned.

*args can also consist of three numbers or a single three-digit number; in the latter case, the digits are considered as independent numbers. The numbers are interpreted as (nrows, ncols, index): (nrows, ncols) specifies the size of an array of subplots, and index is the 1-based index of the subplot being created. Finally, *args can also directly be a SubplotSpec instance.

sharex, shareyAxes, optional

The x- or y-axis is shared with the x- or y-axis in the input Axes. Note that it is not possible to unshare axes.

frameonbool, default: True

Whether the Axes frame is visible.

box_aspectfloat, optional

Set a fixed aspect for the Axes box, i.e. the ratio of height to width. See set_box_aspect for details.

forward_navigation_eventsbool or "auto", default: "auto"

Control whether pan/zoom events are passed through to Axes below this one. "auto" is True for axes with an invisible patch and False otherwise.

**kwargs

Other optional keyword arguments:

Property	Description
`adjustable`	{'box', 'datalim'}
`agg_filter`	a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image
`alpha`	scalar or None
`anchor`	(float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...}
`animated`	bool
`aspect`	{'auto', 'equal'} or float
`autoscale_on`	bool
`autoscalex_on`	unknown
`autoscaley_on`	unknown
`axes_locator`	Callable[[Axes, Renderer], Bbox]
`axisbelow`	bool or 'line'
`box_aspect`	float or None
`clip_box`	`BboxBase` or None
`clip_on`	bool
`clip_path`	Patch or (Path, Transform) or None
`facecolor` or `fc`	color
`figure`	`Figure` or `SubFigure`
`forward_navigation_events`	bool or "auto"
`frame_on`	bool
`gid`	str
`in_layout`	bool
`label`	object
`mouseover`	bool
`navigate`	bool
`navigate_mode`	unknown
`path_effects`	list of `AbstractPathEffect`
`picker`	None or bool or float or callable
`position`	[left, bottom, width, height] or `Bbox`
`prop_cycle`	`Cycler`
`rasterization_zorder`	float or None
`rasterized`	bool
`sketch_params`	(scale: float, length: float, randomness: float)
`snap`	bool or None
`subplotspec`	unknown
`title`	str
`transform`	`Transform`
`url`	str
`visible`	bool
`xbound`	(lower: float, upper: float)
`xlabel`	str
`xlim`	(left: float, right: float)
`xmargin`	float greater than -0.5
`xscale`	unknown
`xticklabels`	unknown
`xticks`	unknown
`ybound`	(lower: float, upper: float)
`ylabel`	str
`ylim`	(bottom: float, top: float)
`ymargin`	float greater than -0.5
`yscale`	unknown
`yticklabels`	unknown
`yticks`	unknown
`zorder`	float

Returns:

Axes: The new Axes object.

class InvertedPolarTransform(axis=None, use_rmin=True, *, apply_theta_transforms=True)[source]#

Bases: Transform

The inverse of the polar transform, mapping Cartesian coordinate space x and y back to theta and r.

Parameters:

axisAxis, optional: Axis associated with this transform. This is used to get the minimum radial limit.
use_rminbool, optional: If True, add the minimum radial axis limit after transforming from Cartesian coordinates. axis must also be specified for this to take effect.

has_inverse = True#: True if this transform has a corresponding inverse transform.

input_dims = 2#: The number of input dimensions of this transform. Must be overridden (with integers) in the subclass.

inverted()[source]#

Return the corresponding inverse transformation.

It holds x == self.inverted().transform(self.transform(x)).

The return value of this method should be treated as temporary. An update to self does not cause a corresponding update to its inverted copy.

output_dims = 2#: The number of output dimensions of this transform. Must be overridden (with integers) in the subclass.

transform_non_affine(values)[source]#

Apply only the non-affine part of this transformation.

transform(values) is always equivalent to transform_affine(transform_non_affine(values)).

In non-affine transformations, this is generally equivalent to transform(values). In affine transformations, this is always a no-op.

Parameters:

valuesarray: The input values as an array of length input_dims or shape (N, input_dims).

Returns:

array: The output values as an array of length output_dims or shape (N, output_dims), depending on the input.

class PolarAffine(scale_transform, limits)[source]#

Bases: Affine2DBase

The affine part of the polar projection.

Scales the output so that maximum radius rests on the edge of the Axes circle and the origin is mapped to (0.5, 0.5). The transform applied is the same to x and y components and given by:

\[x_{1} = 0.5 \left [ \frac{x_{0}}{(r_{\max} - r_{\min})} + 1 \right ]\]

\(r_{\min}, r_{\max}\) are the minimum and maximum radial limits after any scaling (e.g. log scaling) has been removed.

Parameters:

scale_transformTransform: Scaling transform for the data. This is used to remove any scaling from the radial view limits.
limitsBboxBase: View limits of the data. The only part of its bounds that is used is the y limits (for the radius limits).

get_matrix()[source]#: Get the matrix for the affine part of this transform.

class PolarTransform(axis=None, use_rmin=True, *, apply_theta_transforms=True, scale_transform=None)[source]#

Bases: Transform

The base polar transform.

This transform maps polar coordinates \(\theta, r\) into Cartesian coordinates \(x, y = r \cos(\theta), r \sin(\theta)\) (but does not fully transform into Axes coordinates or handle positioning in screen space).

This transformation is designed to be applied to data after any scaling along the radial axis (e.g. log-scaling) has been applied to the input data.

Path segments at a fixed radius are automatically transformed to circular arcs as long as path._interpolation_steps > 1.

Parameters:

axisAxis, optional: Axis associated with this transform. This is used to get the minimum radial limit.
use_rminbool, optional: If True, subtract the minimum radial axis limit before transforming to Cartesian coordinates. axis must also be specified for this to take effect.

has_inverse = True#: True if this transform has a corresponding inverse transform.

input_dims = 2#: The number of input dimensions of this transform. Must be overridden (with integers) in the subclass.

inverted()[source]#

Return the corresponding inverse transformation.

It holds x == self.inverted().transform(self.transform(x)).

The return value of this method should be treated as temporary. An update to self does not cause a corresponding update to its inverted copy.

output_dims = 2#: The number of output dimensions of this transform. Must be overridden (with integers) in the subclass.

transform_non_affine(values)[source]#

Apply only the non-affine part of this transformation.

transform(values) is always equivalent to transform_affine(transform_non_affine(values)).

In non-affine transformations, this is generally equivalent to transform(values). In affine transformations, this is always a no-op.

Parameters:

valuesarray: The input values as an array of length input_dims or shape (N, input_dims).

Returns:

array: The output values as an array of length output_dims or shape (N, output_dims), depending on the input.

transform_path_non_affine(path)[source]#

Apply the non-affine part of this transform to Path path, returning a new Path.

transform_path(path) is equivalent to transform_path_affine(transform_path_non_affine(values)).

class RadialLocator(base, axes=None)[source]#

Bases: Locator

Used to locate radius ticks.

Ensures that all ticks are strictly positive. For all other tasks, it delegates to the base Locator (which may be different depending on the scale of the r-axis).

nonsingular(vmin, vmax)[source]#

Adjust a range as needed to avoid singularities.

This method gets called during autoscaling, with (v0, v1) set to the data limits on the Axes if the Axes contains any data, or (-inf, +inf) if not.

If v0 == v1 (possibly up to some floating point slop), this method returns an expanded interval around this value.
If (v0, v1) == (-inf, +inf), this method returns appropriate default view limits.
Otherwise, (v0, v1) is returned without modification.

set_axis(axis)[source]#

view_limits(vmin, vmax)[source]#

Select a scale for the range from vmin to vmax.

Subclasses should override this method to change locator behaviour.

class ThetaFormatter[source]#

Bases: Formatter

Used to format the theta tick labels. Converts the native unit of radians into degrees and adds a degree symbol.

class ThetaLocator(base)[source]#

Bases: Locator

Used to locate theta ticks.

This will work the same as the base locator except in the case that the view spans the entire circle. In such cases, the previously used default locations of every 45 degrees are returned.

set_axis(axis)[source]#

view_limits(vmin, vmax)[source]#

Select a scale for the range from vmin to vmax.

Subclasses should override this method to change locator behaviour.

can_pan()[source]#

Return whether this Axes supports the pan/zoom button functionality.

For a polar Axes, this is slightly misleading. Both panning and zooming are performed by the same button. Panning is performed in azimuth while zooming is done along the radial.

can_zoom()[source]#

Return whether this Axes supports the zoom box button functionality.

A polar Axes does not support zoom boxes.

clear()[source]#: Clear the Axes.

drag_pan(button, key, x, y)[source]#

Called when the mouse moves during a pan operation.

Parameters:

buttonMouseButton: The pressed mouse button.
keystr or None: The pressed key, if any.
x, yfloat: The mouse coordinates in display coords.

Notes

This is intended to be overridden by new projection types.

draw(renderer)[source]#

Draw the Artist (and its children) using the given renderer.

This has no effect if the artist is not visible (Artist.get_visible returns False).

Parameters:

rendererRendererBase subclass.

Notes

This method is overridden in the Artist subclasses.

end_pan()[source]#

Called when a pan operation completes (when the mouse button is up.)

Notes

This is intended to be overridden by new projection types.

format_coord(theta, r)[source]#: Return a format string formatting the x, y coordinates.

get_data_ratio()[source]#: Return the aspect ratio of the data itself. For a polar plot, this should always be 1.0

get_rlabel_position()[source]#

Returns:

float: The theta position of the radius labels in degrees.

get_rmax()[source]#

Returns:

float: Outer radial limit.

get_rmin()[source]#

Returns:

float: The inner radial limit.

get_rorigin()[source]#

Returns:

float

get_rsign()[source]#

get_theta_direction()[source]#

Get the direction in which theta increases.

-1:: Theta increases in the clockwise direction
1:: Theta increases in the counterclockwise direction

get_theta_offset()[source]#: Get the offset for the location of 0 in radians.

get_thetamax()[source]#: Return the maximum theta limit in degrees.

get_thetamin()[source]#: Get the minimum theta limit in degrees.

get_xaxis_text1_transform(pad)[source]#

Returns:

transformTransform: The transform used for drawing x-axis labels, which will add pad_points of padding (in points) between the axis and the label. The x-direction is in data coordinates and the y-direction is in axis coordinates
valign{'center', 'top', 'bottom', 'baseline', 'center_baseline'}: The text vertical alignment.
halign{'center', 'left', 'right'}: The text horizontal alignment.

Notes

This transformation is primarily used by the Axis class, and is meant to be overridden by new kinds of projections that may need to place axis elements in different locations.

get_xaxis_text2_transform(pad)[source]#

Returns:

transformTransform: The transform used for drawing secondary x-axis labels, which will add pad_points of padding (in points) between the axis and the label. The x-direction is in data coordinates and the y-direction is in axis coordinates
valign{'center', 'top', 'bottom', 'baseline', 'center_baseline'}: The text vertical alignment.
halign{'center', 'left', 'right'}: The text horizontal alignment.

Notes

This transformation is primarily used by the Axis class, and is meant to be overridden by new kinds of projections that may need to place axis elements in different locations.

get_xaxis_transform(which='grid')[source]#

Get the transformation used for drawing x-axis labels, ticks and gridlines. The x-direction is in data coordinates and the y-direction is in axis coordinates.

Note

This transformation is primarily used by the Axis class, and is meant to be overridden by new kinds of projections that may need to place axis elements in different locations.

Parameters:

which{'grid', 'tick1', 'tick2'}

get_yaxis_text1_transform(pad)[source]#

Returns:

transformTransform: The transform used for drawing y-axis labels, which will add pad_points of padding (in points) between the axis and the label. The x-direction is in axis coordinates and the y-direction is in data coordinates
valign{'center', 'top', 'bottom', 'baseline', 'center_baseline'}: The text vertical alignment.
halign{'center', 'left', 'right'}: The text horizontal alignment.

Notes

This transformation is primarily used by the Axis class, and is meant to be overridden by new kinds of projections that may need to place axis elements in different locations.

get_yaxis_text2_transform(pad)[source]#

Returns:

transformTransform: The transform used for drawing secondart y-axis labels, which will add pad_points of padding (in points) between the axis and the label. The x-direction is in axis coordinates and the y-direction is in data coordinates
valign{'center', 'top', 'bottom', 'baseline', 'center_baseline'}: The text vertical alignment.
halign{'center', 'left', 'right'}: The text horizontal alignment.

Notes

This transformation is primarily used by the Axis class, and is meant to be overridden by new kinds of projections that may need to place axis elements in different locations.

get_yaxis_transform(which='grid')[source]#

Get the transformation used for drawing y-axis labels, ticks and gridlines. The x-direction is in axis coordinates and the y-direction is in data coordinates.

Note

This transformation is primarily used by the Axis class, and is meant to be overridden by new kinds of projections that may need to place axis elements in different locations.

Parameters:

which{'grid', 'tick1', 'tick2'}

name = 'polar'#

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=<UNSET>, facecolor=<UNSET>, forward_navigation_events=<UNSET>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, mouseover=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, rgrids=<UNSET>, rlabel_position=<UNSET>, rlim=<UNSET>, rmax=<UNSET>, rmin=<UNSET>, rorigin=<UNSET>, rscale=<UNSET>, rticks=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, subplotspec=<UNSET>, theta_direction=<UNSET>, theta_offset=<UNSET>, theta_zero_location=<UNSET>, thetagrids=<UNSET>, thetalim=<UNSET>, thetamax=<UNSET>, thetamin=<UNSET>, title=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, xbound=<UNSET>, xlabel=<UNSET>, xlim=<UNSET>, xmargin=<UNSET>, xscale=<UNSET>, xticklabels=<UNSET>, xticks=<UNSET>, ybound=<UNSET>, ylabel=<UNSET>, ylim=<UNSET>, ymargin=<UNSET>, yscale=<UNSET>, yticklabels=<UNSET>, yticks=<UNSET>, zorder=<UNSET>)[source]#

Set multiple properties at once.

Supported properties are

Property

Description

adjustable

{'box', 'datalim'}

agg_filter

a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image

alpha

scalar or None

anchor

(float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...}

animated

bool

aspect

{'auto', 'equal'} or float

autoscale_on

bool

autoscalex_on

unknown

autoscaley_on

unknown

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

BboxBase or None

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure or SubFigure

forward_navigation_events

bool or "auto"

frame_on

bool

gid

str

in_layout

bool

label

object

mouseover

bool

navigate

bool

navigate_mode

unknown

path_effects

list of AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

Cycler

rasterization_zorder

float or None

rasterized

bool

rgrids

tuple with floats

rlabel_position

number

rlim

unknown

rmax

float

rmin

float

rorigin

float

rscale

unknown

rticks

unknown

sketch_params

(scale: float, length: float, randomness: float)

snap

bool or None

subplotspec

unknown

theta_direction

unknown

theta_offset

unknown

theta_zero_location

str

thetagrids

tuple with floats, degrees

thetalim

unknown

thetamax

unknown

thetamin

unknown

title

str

transform

Transform

url

str

visible

bool

xbound

(lower: float, upper: float)

xlabel

str

xlim

(left: float, right: float)

xmargin

float greater than -0.5

xscale

unknown

xticklabels

unknown

xticks

unknown

ybound

(lower: float, upper: float)

ylabel

str

ylim

(bottom: float, top: float)

ymargin

float greater than -0.5

yscale

unknown

yticklabels

unknown

yticks

unknown

zorder

float

set_rgrids(radii, labels=None, angle=None, fmt=None, **kwargs)[source]#

Set the radial gridlines on a polar plot.

Parameters:

radiituple with floats: The radii for the radial gridlines
labelstuple with strings or None: The labels to use at each radial gridline. The matplotlib.ticker.ScalarFormatter will be used if None.
anglefloat: The angular position of the radius labels in degrees.
fmtstr or None: Format string used in matplotlib.ticker.FormatStrFormatter. For example '%f'.

Returns:

lineslist of lines.Line2D: The radial gridlines.
labelslist of text.Text: The tick labels.

Other Parameters:

**kwargs: kwargs are optional Text properties for the labels.

Warning

This only sets the properties of the current ticks. Ticks are not guaranteed to be persistent. Various operations can create, delete and modify the Tick instances. There is an imminent risk that these settings can get lost if you work on the figure further (including also panning/zooming on a displayed figure).

Use set_tick_params instead if possible.

See also

PolarAxes.set_rgrids
Axis.get_gridlines
Axis.get_ticklabels

set_thetalim(*args, **kwargs)[source]#

Set the minimum and maximum theta values.

Can take the following signatures:

set_thetalim(minval, maxval): Set the limits in radians.
set_thetalim(thetamin=minval, thetamax=maxval): Set the limits in degrees.

where minval and maxval are the minimum and maximum limits. Values are wrapped in to the range \([0, 2\pi]\) (in radians), so for example it is possible to do set_thetalim(-np.pi / 2, np.pi / 2) to have an axis symmetric around 0. A ValueError is raised if the absolute angle difference is larger than a full circle.

set_thetamax(thetamax)[source]#: Set the maximum theta limit in degrees.

set_thetamin(thetamin)[source]#: Set the minimum theta limit in degrees.

set_yscale(*args, **kwargs)[source]#

Set the yaxis' 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 arguments:

Notes

By default, Matplotlib supports the above-mentioned scales. Additionally, custom scales may be registered using matplotlib.scale.register_scale. These scales can then also be used here.

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.

class matplotlib.projections.polar.PolarTransform(axis=None, use_rmin=True, *, apply_theta_transforms=True, scale_transform=None)[source]#

Bases: Transform

The base polar transform.

This transform maps polar coordinates \(\theta, r\) into Cartesian coordinates \(x, y = r \cos(\theta), r \sin(\theta)\) (but does not fully transform into Axes coordinates or handle positioning in screen space).

This transformation is designed to be applied to data after any scaling along the radial axis (e.g. log-scaling) has been applied to the input data.

Path segments at a fixed radius are automatically transformed to circular arcs as long as path._interpolation_steps > 1.

Parameters:

axisAxis, optional: Axis associated with this transform. This is used to get the minimum radial limit.
use_rminbool, optional: If True, subtract the minimum radial axis limit before transforming to Cartesian coordinates. axis must also be specified for this to take effect.

has_inverse = True#: True if this transform has a corresponding inverse transform.

input_dims = 2#: The number of input dimensions of this transform. Must be overridden (with integers) in the subclass.

inverted()[source]#

Return the corresponding inverse transformation.

It holds x == self.inverted().transform(self.transform(x)).

The return value of this method should be treated as temporary. An update to self does not cause a corresponding update to its inverted copy.

output_dims = 2#: The number of output dimensions of this transform. Must be overridden (with integers) in the subclass.

transform_non_affine(values)[source]#

Apply only the non-affine part of this transformation.

transform(values) is always equivalent to transform_affine(transform_non_affine(values)).

In non-affine transformations, this is generally equivalent to transform(values). In affine transformations, this is always a no-op.

Parameters:

valuesarray: The input values as an array of length input_dims or shape (N, input_dims).

Returns:

array: The output values as an array of length output_dims or shape (N, output_dims), depending on the input.

transform_path_non_affine(path)[source]#

Apply the non-affine part of this transform to Path path, returning a new Path.

transform_path(path) is equivalent to transform_path_affine(transform_path_non_affine(values)).

class matplotlib.projections.polar.RadialAxis(*args, **kwargs)[source]#

Bases: YAxis

A radial Axis.

This overrides certain properties of a YAxis to provide special-casing for a radial axis.

Parameters:

axesAxes: The Axes to which the created Axis belongs.
pickradiusfloat: The acceptance radius for containment tests. See also Axis.contains.
clearbool, default: True: Whether to clear the Axis on creation. This is not required, e.g., when creating an Axis as part of an Axes, as Axes.clear will call Axis.clear. .. versionadded:: 3.8

axis_name = 'radius'#: Read-only name identifying the axis.

clear()[source]#

Clear the axis.

This resets axis properties to their default values:

the label
the scale
locators, formatters and ticks
major and minor grid
units
registered callbacks

set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, converter=<UNSET>, data_interval=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, inverted=<UNSET>, label=<UNSET>, label_coords=<UNSET>, label_position=<UNSET>, label_text=<UNSET>, major_formatter=<UNSET>, major_locator=<UNSET>, minor_formatter=<UNSET>, minor_locator=<UNSET>, mouseover=<UNSET>, offset_position=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, pickradius=<UNSET>, rasterized=<UNSET>, remove_overlapping_locs=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, tick_params=<UNSET>, ticklabels=<UNSET>, ticks=<UNSET>, ticks_position=<UNSET>, transform=<UNSET>, units=<UNSET>, url=<UNSET>, view_interval=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source]#

Set multiple properties at once.

Supported properties are

Property

Description

agg_filter

a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image

alpha

scalar or None

animated

bool

clip_box

BboxBase or None

clip_on

bool

clip_path

Patch or (Path, Transform) or None

converter

ConversionInterface

data_interval

unknown

figure

Figure or SubFigure

gid

str

in_layout

bool

inverted

unknown

label

unknown

label_coords

unknown

label_position

{'left', 'right'}

label_text

str

major_formatter

Formatter, str, or function

major_locator

Locator

minor_formatter

Formatter, str, or function

minor_locator

Locator

mouseover

bool

offset_position

{'left', 'right'}

path_effects

list of AbstractPathEffect

picker

None or bool or float or callable

pickradius

float

rasterized

bool

remove_overlapping_locs

unknown

sketch_params

(scale: float, length: float, randomness: float)

snap

bool or None

tick_params

unknown

ticklabels

sequence of str or of Texts

ticks

1D array-like

ticks_position

{'left', 'right', 'both', 'default', 'none'}

transform

Transform

units

units tag

url

str

view_interval

unknown

visible

bool

zorder

float

class matplotlib.projections.polar.RadialLocator(base, axes=None)[source]#

Bases: Locator

Used to locate radius ticks.

Ensures that all ticks are strictly positive. For all other tasks, it delegates to the base Locator (which may be different depending on the scale of the r-axis).

nonsingular(vmin, vmax)[source]#

Adjust a range as needed to avoid singularities.

This method gets called during autoscaling, with (v0, v1) set to the data limits on the Axes if the Axes contains any data, or (-inf, +inf) if not.

If v0 == v1 (possibly up to some floating point slop), this method returns an expanded interval around this value.
If (v0, v1) == (-inf, +inf), this method returns appropriate default view limits.
Otherwise, (v0, v1) is returned without modification.

set_axis(axis)[source]#

view_limits(vmin, vmax)[source]#

Select a scale for the range from vmin to vmax.

Subclasses should override this method to change locator behaviour.

class matplotlib.projections.polar.RadialTick(*args, **kwargs)[source]#

Bases: YTick

A radial-axis tick.

This subclass of YTick provides radial ticks with some small modification to their re-positioning such that ticks are rotated based on axes limits. This results in ticks that are correctly perpendicular to the spine. Labels are also rotated to be perpendicular to the spine, when 'auto' rotation is enabled.

bbox is the Bound2D bounding box in display coords of the Axes loc is the tick location in data coords size is the tick size in points

set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, mouseover=<UNSET>, pad=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source]#

Set multiple properties at once.

Supported properties are

Property

Description

agg_filter

a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image

alpha

scalar or None

animated

bool

clip_box

BboxBase or None

clip_on

bool

clip_path

Patch or (Path, Transform) or None

figure

Figure or SubFigure

gid

str

in_layout

bool

label

object

mouseover

bool

pad

float

path_effects

list of AbstractPathEffect

picker

None or bool or float or callable

rasterized

bool

sketch_params

(scale: float, length: float, randomness: float)

snap

bool or None

transform

Transform

url

str

visible

bool

zorder

float

update_position(loc)[source]#: Set the location of tick in data coords with scalar loc.

class matplotlib.projections.polar.ThetaAxis(*args, **kwargs)[source]#

Bases: XAxis

A theta Axis.

This overrides certain properties of an XAxis to provide special-casing for an angular axis.

Parameters:

axesAxes: The Axes to which the created Axis belongs.
pickradiusfloat: The acceptance radius for containment tests. See also Axis.contains.
clearbool, default: True: Whether to clear the Axis on creation. This is not required, e.g., when creating an Axis as part of an Axes, as Axes.clear will call Axis.clear. .. versionadded:: 3.8

axis_name = 'theta'#: Read-only name identifying the axis.

clear()[source]#

Clear the axis.

This resets axis properties to their default values:

the label
the scale
locators, formatters and ticks
major and minor grid
units
registered callbacks

set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, converter=<UNSET>, data_interval=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, inverted=<UNSET>, label=<UNSET>, label_coords=<UNSET>, label_position=<UNSET>, label_text=<UNSET>, major_formatter=<UNSET>, major_locator=<UNSET>, minor_formatter=<UNSET>, minor_locator=<UNSET>, mouseover=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, pickradius=<UNSET>, rasterized=<UNSET>, remove_overlapping_locs=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, tick_params=<UNSET>, ticklabels=<UNSET>, ticks=<UNSET>, ticks_position=<UNSET>, transform=<UNSET>, units=<UNSET>, url=<UNSET>, view_interval=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source]#

Set multiple properties at once.

Supported properties are

Property

Description

agg_filter

a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image

alpha

scalar or None

animated

bool

clip_box

BboxBase or None

clip_on

bool

clip_path

Patch or (Path, Transform) or None

converter

ConversionInterface

data_interval

unknown

figure

Figure or SubFigure

gid

str

in_layout

bool

inverted

unknown

label

unknown

label_coords

unknown

label_position

{'top', 'bottom'}

label_text

str

major_formatter

Formatter, str, or function

major_locator

Locator

minor_formatter

Formatter, str, or function

minor_locator

Locator

mouseover

bool

path_effects

list of AbstractPathEffect

picker

None or bool or float or callable

pickradius

float

rasterized

bool

remove_overlapping_locs

unknown

sketch_params

(scale: float, length: float, randomness: float)

snap

bool or None

tick_params

unknown

ticklabels

sequence of str or of Texts

ticks

1D array-like

ticks_position

{'top', 'bottom', 'both', 'default', 'none'}

transform

Transform

units

units tag

url

str

view_interval

unknown

visible

bool

zorder

float

class matplotlib.projections.polar.ThetaFormatter[source]#

Bases: Formatter

Used to format the theta tick labels. Converts the native unit of radians into degrees and adds a degree symbol.

class matplotlib.projections.polar.ThetaLocator(base)[source]#

Bases: Locator

Used to locate theta ticks.

This will work the same as the base locator except in the case that the view spans the entire circle. In such cases, the previously used default locations of every 45 degrees are returned.

set_axis(axis)[source]#

view_limits(vmin, vmax)[source]#

Select a scale for the range from vmin to vmax.

Subclasses should override this method to change locator behaviour.

class matplotlib.projections.polar.ThetaTick(axes, *args, **kwargs)[source]#

Bases: XTick

A theta-axis tick.

This subclass of XTick provides angular ticks with some small modification to their re-positioning such that ticks are rotated based on tick location. This results in ticks that are correctly perpendicular to the arc spine.

When 'auto' rotation is enabled, labels are also rotated to be parallel to the spine. The label padding is also applied here since it's not possible to use a generic axes transform to produce tick-specific padding.

bbox is the Bound2D bounding box in display coords of the Axes loc is the tick location in data coords size is the tick size in points

set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, mouseover=<UNSET>, pad=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)[source]#

Set multiple properties at once.

Supported properties are

Property

Description

agg_filter

a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image

alpha

scalar or None

animated

bool

clip_box

BboxBase or None

clip_on

bool

clip_path

Patch or (Path, Transform) or None

figure

Figure or SubFigure

gid

str

in_layout

bool

label

object

mouseover

bool

pad

float

path_effects

list of AbstractPathEffect

picker

None or bool or float or callable

rasterized

bool

sketch_params

(scale: float, length: float, randomness: float)

snap

bool or None

transform

Transform

url

str

visible

bool

zorder

float

update_position(loc)[source]#: Set the location of tick in data coords with scalar loc.

matplotlib.projections.polar#

`matplotlib.projections.polar`#