matplotlib.projections

Non-separable transforms that map from data space to screen space.

Projections are defined as Axes subclasses. They include the following elements:

  • A transformation from data coordinates into display coordinates.

  • An inverse of that transformation. This is used, for example, to convert mouse positions from screen space back into data space.

  • Transformations for the gridlines, ticks and ticklabels. Custom projections will often need to place these elements in special locations, and Matplotlib has a facility to help with doing so.

  • Setting up default values (overriding cla), since the defaults for a rectilinear axes may not be appropriate.

  • Defining the shape of the axes, for example, an elliptical axes, that will be used to draw the background of the plot and for clipping any data elements.

  • Defining custom locators and formatters for the projection. For example, in a geographic projection, it may be more convenient to display the grid in degrees, even if the data is in radians.

  • Set up interactive panning and zooming. This is left as an "advanced" feature left to the reader, but there is an example of this for polar plots in matplotlib.projections.polar.

  • Any additional methods for additional convenience or features.

Once the projection axes is defined, it can be used in one of two ways:

  • By defining the class attribute name, the projection axes can be registered with matplotlib.projections.register_projection and subsequently simply invoked by name:

    fig.add_subplot(projection="my_proj_name")
    
  • For more complex, parameterisable projections, a generic "projection" object may be defined which includes the method _as_mpl_axes. _as_mpl_axes should take no arguments and return the projection's axes subclass and a dictionary of additional arguments to pass to the subclass' __init__ method. Subsequently a parameterised projection can be initialised with:

    fig.add_subplot(projection=MyProjection(param1=param1_value))
    

    where MyProjection is an object which implements a _as_mpl_axes method.

A full-fledged and heavily annotated example is in Custom projection. The polar plot functionality in matplotlib.projections.polar may also be of interest.

class matplotlib.projections.ProjectionRegistry[source]

Bases: object

A mapping of registered projection names to projection classes.

get_projection_class(name)[source]

Get a projection class from its name.

get_projection_names()[source]

Return the names of all projections currently registered.

register(*projections)[source]

Register a new set of projections.

matplotlib.projections.get_projection_class(projection=None)[source]

Get a projection class from its name.

If projection is None, a standard rectilinear projection is returned.

matplotlib.projections.get_projection_names()

Return the names of all projections currently registered.

matplotlib.projections.register_projection(cls)[source]

matplotlib.projections.polar

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

Bases: matplotlib.transforms.Transform

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

Parameters
shorthand_namestr

A string representing the "name" of the transform. The name carries no significance other than to improve the readability of str(transform) when DEBUG=True.

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(xy)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

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

Bases: matplotlib.transforms.Affine2DBase

The affine part of the polar projection. Scales the output so that maximum radius rests on the edge of the axes circle.

limits is the view limit of the data. The only part of its bounds that is used is the y limits (for the radius limits). The theta range is handled by the non-affine transform.

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: matplotlib.axes._axes.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 build in the Figure fig.

rect[left, bottom, width, height]

The axes is build in the rectangle rect. rect is in Figure coordinates.

sharex, shareyAxes, optional

The x or y axis is shared with the x or y axis in the input 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.

**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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

(bottom: float, top: float)

xmargin

float greater than -0.5

xscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

(bottom: float, top: float)

ymargin

float greater than -0.5

yscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

yticklabels

unknown

yticks

unknown

zorder

float

Returns
Axes

The new Axes object.

class InvertedPolarTransform(axis=None, use_rmin=True, _apply_theta_transforms=True)

Bases: matplotlib.transforms.Transform

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

Parameters
shorthand_namestr

A string representing the "name" of the transform. The name carries no significance other than to improve the readability of str(transform) when DEBUG=True.

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()

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(xy)

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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

class PolarAffine(scale_transform, limits)

Bases: matplotlib.transforms.Affine2DBase

The affine part of the polar projection. Scales the output so that maximum radius rests on the edge of the axes circle.

limits is the view limit of the data. The only part of its bounds that is used is the y limits (for the radius limits). The theta range is handled by the non-affine transform.

get_matrix()

Get the matrix for the affine part of this transform.

class PolarTransform(axis=None, use_rmin=True, _apply_theta_transforms=True)

Bases: matplotlib.transforms.Transform

The base polar transform. This handles projection theta and r into Cartesian coordinate space x and y, but does not perform the ultimate affine transformation into the correct position.

Parameters
shorthand_namestr

A string representing the "name" of the transform. The name carries no significance other than to improve the readability of str(transform) when DEBUG=True.

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()

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(tr)

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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

transform_path_non_affine(path)

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)

Bases: matplotlib.ticker.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)

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)
view_limits(vmin, vmax)

Select a scale for the range from vmin to vmax.

Subclasses should override this method to change locator behaviour.

class ThetaFormatter

Bases: matplotlib.ticker.Formatter

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

class ThetaLocator(base)

Bases: matplotlib.ticker.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.

refresh()
set_axis(axis)
view_limits(vmin, vmax)

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 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.

Polar axes do not support zoom boxes.

cla()[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 axes 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 axes 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.

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 axes 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 axes 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.

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>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<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>, 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>)

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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

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

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

unknown

xlabel

str

xlim

(bottom: float, top: float)

xmargin

float greater than -0.5

xscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

float, optional

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.

set_rlabel_position(value)[source]

Update the theta position of the radius labels.

Parameters
valuenumber

The angular position of the radius labels in degrees.

set_rlim(bottom=None, top=None, emit=True, auto=False, **kwargs)[source]

See set_ylim.

set_rmax(rmax)[source]

Set the outer radial limit.

Parameters
rmaxfloat
set_rmin(rmin)[source]

Set the inner radial limit.

Parameters
rminfloat
set_rorigin(rorigin)[source]

Update the radial origin.

Parameters
roriginfloat
set_rscale(*args, **kwargs)[source]
set_rticks(*args, **kwargs)[source]
set_theta_direction(direction)[source]

Set the direction in which theta increases.

clockwise, -1:

Theta increases in the clockwise direction

counterclockwise, anticlockwise, 1:

Theta increases in the counterclockwise direction

set_theta_offset(offset)[source]

Set the offset for the location of 0 in radians.

set_theta_zero_location(loc, offset=0.0)[source]

Set the location of theta's zero.

This simply calls set_theta_offset with the correct value in radians.

Parameters
locstr

May be one of "N", "NW", "W", "SW", "S", "SE", "E", or "NE".

offsetfloat, default: 0

An offset in degrees to apply from the specified loc. Note: this offset is always applied counter-clockwise regardless of the direction setting.

set_thetagrids(angles, labels=None, fmt=None, **kwargs)[source]

Set the theta gridlines in a polar plot.

Parameters
anglestuple with floats, degrees

The angles of the theta gridlines.

labelstuple with strings or None

The labels to use at each theta gridline. The projections.polar.ThetaFormatter will be used if None.

fmtstr or None

Format string used in matplotlib.ticker.FormatStrFormatter. For example '%f'. Note that the angle that is used is in radians.

Returns
lineslist of lines.Line2D

The theta gridlines.

labelslist of text.Text

The tick labels.

Other Parameters
**kwargs

kwargs are optional Text properties for the labels.

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 axes 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_ylim(bottom=None, top=None, emit=True, auto=False, *, ymin=None, ymax=None)[source]

Set the data limits for the radial axis.

Parameters
bottomfloat, optional

The bottom limit (default: None, which leaves the bottom limit unchanged). The bottom and top ylims may be passed as the tuple (bottom, top) as the first positional argument (or as the bottom keyword argument).

topfloat, optional

The top limit (default: None, which leaves the top limit unchanged).

emitbool, default: True

Whether to notify observers of limit change.

autobool or None, default: False

Whether to turn on autoscaling of the y-axis. True turns on, False turns off, None leaves unchanged.

ymin, ymaxfloat, optional

These arguments are deprecated and will be removed in a future version. They are equivalent to bottom and top respectively, and it is an error to pass both ymin and bottom or ymax and top.

Returns
bottom, top(float, float)

The new y-axis limits in data coordinates.

set_yscale(*args, **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 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)[source]

Bases: matplotlib.transforms.Transform

The base polar transform. This handles projection theta and r into Cartesian coordinate space x and y, but does not perform the ultimate affine transformation into the correct position.

Parameters
shorthand_namestr

A string representing the "name" of the transform. The name carries no significance other than to improve the readability of str(transform) when DEBUG=True.

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(tr)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x 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: matplotlib.axis.YAxis

A radial Axis.

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

Parameters
axesmatplotlib.axes.Axes

The Axes to which the created Axis belongs.

pickradiusfloat

The acceptance radius for containment tests. See also Axis.contains.

axis_name = 'radius'

Read-only name identifying the axis.

cla()[source]

[Deprecated]

Notes

Deprecated since version 3.4:

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>, 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>, 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>)

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

alpha

scalar or None

animated

bool

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

data_interval

unknown

figure

Figure

gid

str

in_layout

bool

inverted

unknown

label

object

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

offset_position

{'left', 'right'}

path_effects

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

list of floats

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: matplotlib.ticker.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: matplotlib.axis.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>, label1=<UNSET>, label2=<UNSET>, pad=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)

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

alpha

scalar or None

animated

bool

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

figure

Figure

gid

str

in_layout

bool

label

str

label1

str

label2

str

pad

float

path_effects

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: matplotlib.axis.XAxis

A theta Axis.

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

Parameters
axesmatplotlib.axes.Axes

The Axes to which the created Axis belongs.

pickradiusfloat

The acceptance radius for containment tests. See also Axis.contains.

axis_name = 'theta'

Read-only name identifying the axis.

cla()[source]

[Deprecated]

Notes

Deprecated since version 3.4:

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>, 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>, 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>)

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

alpha

scalar or None

animated

bool

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

data_interval

unknown

figure

Figure

gid

str

in_layout

bool

inverted

unknown

label

object

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

path_effects

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

list of floats

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: matplotlib.ticker.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: matplotlib.ticker.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.

refresh()[source]
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: matplotlib.axis.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>, label1=<UNSET>, label2=<UNSET>, pad=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, zorder=<UNSET>)

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

alpha

scalar or None

animated

bool

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

figure

Figure

gid

str

in_layout

bool

label

str

label1

str

label2

str

pad

float

path_effects

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.geo

class matplotlib.projections.geo.AitoffAxes(*args, **kwargs)[source]

Bases: matplotlib.projections.geo.GeoAxes

Build an axes in a figure.

Parameters
figFigure

The axes is build in the Figure fig.

rect[left, bottom, width, height]

The axes is build in the rectangle rect. rect is in Figure coordinates.

sharex, shareyAxes, optional

The x or y axis is shared with the x or y axis in the input 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.

**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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

(bottom: float, top: float)

xmargin

float greater than -0.5

xscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

(bottom: float, top: float)

ymargin

float greater than -0.5

yscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

yticklabels

unknown

yticks

unknown

zorder

float

Returns
Axes

The new Axes object.

class AitoffTransform(resolution)[source]

Bases: matplotlib.projections.geo._GeoTransform

The base Aitoff transform.

Create a new geographical transform.

Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space.

has_inverse = True

True if this transform has a corresponding inverse transform.

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.

transform_non_affine(ll)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

class InvertedAitoffTransform(resolution)[source]

Bases: matplotlib.projections.geo._GeoTransform

Create a new geographical transform.

Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space.

has_inverse = True

True if this transform has a corresponding inverse transform.

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.

transform_non_affine(xy)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

name = 'aitoff'
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>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, latitude_grid=<UNSET>, longitude_grid=<UNSET>, longitude_grid_ends=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<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>)

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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

latitude_grid

unknown

longitude_grid

unknown

longitude_grid_ends

unknown

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

unknown

xmargin

float greater than -0.5

xscale

unknown

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

unknown

ymargin

float greater than -0.5

yscale

unknown

yticklabels

unknown

yticks

unknown

zorder

float

class matplotlib.projections.geo.GeoAxes(fig, rect, *, facecolor=None, frameon=True, sharex=None, sharey=None, label='', xscale=None, yscale=None, box_aspect=None, **kwargs)[source]

Bases: matplotlib.axes._axes.Axes

An abstract base class for geographic projections.

Build an axes in a figure.

Parameters
figFigure

The axes is build in the Figure fig.

rect[left, bottom, width, height]

The axes is build in the rectangle rect. rect is in Figure coordinates.

sharex, shareyAxes, optional

The x or y axis is shared with the x or y axis in the input 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.

**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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

(bottom: float, top: float)

xmargin

float greater than -0.5

xscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

(bottom: float, top: float)

ymargin

float greater than -0.5

yscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

yticklabels

unknown

yticks

unknown

zorder

float

Returns
Axes

The new Axes object.

RESOLUTION = 75
class ThetaFormatter(round_to=1.0)[source]

Bases: matplotlib.ticker.Formatter

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

can_pan()[source]

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

This axes object does not support interactive pan/zoom.

can_zoom()[source]

Return whether this axes supports the zoom box button functionality.

This axes object does not support interactive zoom box.

cla()[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.

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(lon, lat)[source]

Return a format string formatting the coordinate.

get_data_ratio()[source]

Return the aspect ratio of the data itself.

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 axes 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 axes 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.

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 axes 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 axes 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.

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>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, latitude_grid=<UNSET>, longitude_grid=<UNSET>, longitude_grid_ends=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<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>)

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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

latitude_grid

unknown

longitude_grid

unknown

longitude_grid_ends

unknown

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

unknown

xmargin

float greater than -0.5

xscale

unknown

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

unknown

ymargin

float greater than -0.5

yscale

unknown

yticklabels

unknown

yticks

unknown

zorder

float

set_latitude_grid(degrees)[source]

Set the number of degrees between each latitude grid.

set_longitude_grid(degrees)[source]

Set the number of degrees between each longitude grid.

set_longitude_grid_ends(degrees)[source]

Set the latitude(s) at which to stop drawing the longitude grids.

set_xlim(*args, **kwargs)[source]

Not supported. Please consider using Cartopy.

set_xscale(*args, **kwargs)

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 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.

set_ylim(*args, **kwargs)

Not supported. Please consider using Cartopy.

set_yscale(*args, **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 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.geo.HammerAxes(*args, **kwargs)[source]

Bases: matplotlib.projections.geo.GeoAxes

Build an axes in a figure.

Parameters
figFigure

The axes is build in the Figure fig.

rect[left, bottom, width, height]

The axes is build in the rectangle rect. rect is in Figure coordinates.

sharex, shareyAxes, optional

The x or y axis is shared with the x or y axis in the input 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.

**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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

(bottom: float, top: float)

xmargin

float greater than -0.5

xscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

(bottom: float, top: float)

ymargin

float greater than -0.5

yscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

yticklabels

unknown

yticks

unknown

zorder

float

Returns
Axes

The new Axes object.

class HammerTransform(resolution)[source]

Bases: matplotlib.projections.geo._GeoTransform

The base Hammer transform.

Create a new geographical transform.

Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space.

has_inverse = True

True if this transform has a corresponding inverse transform.

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.

transform_non_affine(ll)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

class InvertedHammerTransform(resolution)[source]

Bases: matplotlib.projections.geo._GeoTransform

Create a new geographical transform.

Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space.

has_inverse = True

True if this transform has a corresponding inverse transform.

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.

transform_non_affine(xy)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

name = 'hammer'
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>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, latitude_grid=<UNSET>, longitude_grid=<UNSET>, longitude_grid_ends=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<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>)

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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

latitude_grid

unknown

longitude_grid

unknown

longitude_grid_ends

unknown

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

unknown

xmargin

float greater than -0.5

xscale

unknown

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

unknown

ymargin

float greater than -0.5

yscale

unknown

yticklabels

unknown

yticks

unknown

zorder

float

class matplotlib.projections.geo.LambertAxes(*args, center_longitude=0, center_latitude=0, **kwargs)[source]

Bases: matplotlib.projections.geo.GeoAxes

Build an axes in a figure.

Parameters
figFigure

The axes is build in the Figure fig.

rect[left, bottom, width, height]

The axes is build in the rectangle rect. rect is in Figure coordinates.

sharex, shareyAxes, optional

The x or y axis is shared with the x or y axis in the input 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.

**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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

(bottom: float, top: float)

xmargin

float greater than -0.5

xscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

(bottom: float, top: float)

ymargin

float greater than -0.5

yscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

yticklabels

unknown

yticks

unknown

zorder

float

Returns
Axes

The new Axes object.

class InvertedLambertTransform(center_longitude, center_latitude, resolution)[source]

Bases: matplotlib.projections.geo._GeoTransform

Create a new geographical transform.

Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space.

has_inverse = True

True if this transform has a corresponding inverse transform.

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.

transform_non_affine(xy)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

class LambertTransform(center_longitude, center_latitude, resolution)[source]

Bases: matplotlib.projections.geo._GeoTransform

The base Lambert transform.

Create a new Lambert transform. Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved Lambert space.

has_inverse = True

True if this transform has a corresponding inverse transform.

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.

transform_non_affine(ll)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

cla()[source]

Clear the axes.

name = 'lambert'
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>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, latitude_grid=<UNSET>, longitude_grid=<UNSET>, longitude_grid_ends=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<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>)

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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

latitude_grid

unknown

longitude_grid

unknown

longitude_grid_ends

unknown

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

unknown

xmargin

float greater than -0.5

xscale

unknown

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

unknown

ymargin

float greater than -0.5

yscale

unknown

yticklabels

unknown

yticks

unknown

zorder

float

class matplotlib.projections.geo.MollweideAxes(*args, **kwargs)[source]

Bases: matplotlib.projections.geo.GeoAxes

Build an axes in a figure.

Parameters
figFigure

The axes is build in the Figure fig.

rect[left, bottom, width, height]

The axes is build in the rectangle rect. rect is in Figure coordinates.

sharex, shareyAxes, optional

The x or y axis is shared with the x or y axis in the input 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.

**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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

(bottom: float, top: float)

xmargin

float greater than -0.5

xscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

(bottom: float, top: float)

ymargin

float greater than -0.5

yscale

{"linear", "log", "symlog", "logit", ...} or ScaleBase

yticklabels

unknown

yticks

unknown

zorder

float

Returns
Axes

The new Axes object.

class InvertedMollweideTransform(resolution)[source]

Bases: matplotlib.projections.geo._GeoTransform

Create a new geographical transform.

Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space.

has_inverse = True

True if this transform has a corresponding inverse transform.

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.

transform_non_affine(xy)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

class MollweideTransform(resolution)[source]

Bases: matplotlib.projections.geo._GeoTransform

The base Mollweide transform.

Create a new geographical transform.

Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space.

has_inverse = True

True if this transform has a corresponding inverse transform.

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.

transform_non_affine(ll)[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 NumPy array of length input_dims or shape (N x input_dims).

Returns
array

The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.

name = 'mollweide'
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>, frame_on=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, latitude_grid=<UNSET>, longitude_grid=<UNSET>, longitude_grid_ends=<UNSET>, navigate=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, position=<UNSET>, prop_cycle=<UNSET>, rasterization_zorder=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<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>)

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

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

bool

autoscaley_on

bool

axes_locator

Callable[[Axes, Renderer], Bbox]

axisbelow

bool or 'line'

box_aspect

float or None

clip_box

Bbox

clip_on

bool

clip_path

Patch or (Path, Transform) or None

facecolor or fc

color

figure

Figure

frame_on

bool

gid

str

in_layout

bool

label

object

latitude_grid

unknown

longitude_grid

unknown

longitude_grid_ends

unknown

navigate

bool

navigate_mode

unknown

path_effects

AbstractPathEffect

picker

None or bool or float or callable

position

[left, bottom, width, height] or Bbox

prop_cycle

unknown

rasterization_zorder

float or None

rasterized

bool

sketch_params

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

snap

bool or None

title

str

transform

Transform

url

str

visible

bool

xbound

unknown

xlabel

str

xlim

unknown

xmargin

float greater than -0.5

xscale

unknown

xticklabels

unknown

xticks

unknown

ybound

unknown

ylabel

str

ylim

unknown

ymargin

float greater than -0.5

yscale

unknown

yticklabels

unknown

yticks

unknown

zorder

float