matplotlib.projections
¶
Nonseparable 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 withmatplotlib.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 fullfledged 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.

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.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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_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 nonaffine 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 anticlockwise.
Build an axes in a figure.
Parameters:  fig
Figure
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, sharey
Axes
, optional The x or y
axis
is shared with the x or y axis in the inputAxes
. 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
2tuple of floats or {'C', 'SW', 'S', 'SE', ...} 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 contains
unknown facecolor
or fccolor 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: 
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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_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 nonaffine 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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_dims
), depending on the input.

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 raxis).
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.
 If

pan
(numsteps)¶ [Deprecated]
Notes
Deprecated since version 3.3:

refresh
()¶ [Deprecated]
Notes
Deprecated since version 3.3:

view_limits
(vmin, vmax)¶ Select a scale for the range from vmin to vmax.
Subclasses should override this method to change locator behaviour.

zoom
(direction)¶ [Deprecated]
Notes
Deprecated since version 3.3:


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.

pan
(numsteps)¶ [Deprecated]
Notes
Deprecated since version 3.3:

refresh
()¶ [Deprecated] Refresh internal information based on current limits.
Notes
Deprecated since version 3.3.

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.

zoom
(direction)¶ [Deprecated]
Notes
Deprecated since version 3.3:


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.

drag_pan
(button, key, x, y)[source]¶ Called when the mouse moves during a pan operation.
Parameters:  button
MouseButton
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.
 button

draw
(renderer, *args, **kwargs)[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:  renderer
RendererBase
subclass.
Notes
This method is overridden in the Artist subclasses.
 renderer

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.

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

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_xaxis_text1_transform
(pad)[source]¶ Returns:  transformTransform
The transform used for drawing xaxis labels, which will add pad_points of padding (in points) between the axes and the label. The xdirection is in data coordinates and the ydirection 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 xaxis labels, which will add pad_points of padding (in points) between the axes and the label. The xdirection is in data coordinates and the ydirection 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 xaxis labels, ticks and gridlines. The xdirection is in data coordinates and the ydirection 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 yaxis labels, which will add pad_points of padding (in points) between the axes and the label. The xdirection is in axis coordinates and the ydirection 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 yaxis labels, which will add pad_points of padding (in points) between the axes and the label. The xdirection is in axis coordinates and the ydirection 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 yaxis labels, ticks and gridlines. The xdirection is in axis coordinates and the ydirection 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_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_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_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 counterclockwise 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_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 yaxis. 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 yaxis limits in data coordinates.

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

start_pan
(x, y, button)[source]¶ Called when a pan operation has started.
Parameters:  x, yfloat
The mouse coordinates in display coords.
 button
MouseButton
The pressed mouse button.
Notes
This is intended to be overridden by new projection types.
 fig

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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_dims
), depending on the input.

class
matplotlib.projections.polar.
RadialAxis
(*args, **kwargs)[source]¶ Bases:
matplotlib.axis.YAxis
A radial Axis.
This overrides certain properties of a
YAxis
to provide specialcasing for a radial axis.Parameters:  axes
matplotlib.axes.Axes
The
Axes
to which the created Axis belongs. pickradiusfloat
The acceptance radius for containment tests. See also
Axis.contains
.

axis_name
= 'radius'¶ Readonly name identifying the axis.
 axes

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 raxis).
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.
 If


class
matplotlib.projections.polar.
RadialTick
(*args, **kwargs)[source]¶ Bases:
matplotlib.axis.YTick
A radialaxis tick.
This subclass of
YTick
provides radial ticks with some small modification to their repositioning 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

class
matplotlib.projections.polar.
ThetaAxis
(*args, **kwargs)[source]¶ Bases:
matplotlib.axis.XAxis
A theta Axis.
This overrides certain properties of an
XAxis
to provide specialcasing for an angular axis.Parameters:  axes
matplotlib.axes.Axes
The
Axes
to which the created Axis belongs. pickradiusfloat
The acceptance radius for containment tests. See also
Axis.contains
.

axis_name
= 'theta'¶ Readonly name identifying the axis.
 axes

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]¶ [Deprecated] Refresh internal information based on current limits.
Notes
Deprecated since version 3.3.


class
matplotlib.projections.polar.
ThetaTick
(axes, *args, **kwargs)[source]¶ Bases:
matplotlib.axis.XTick
A thetaaxis tick.
This subclass of
XTick
provides angular ticks with some small modification to their repositioning 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 tickspecific 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
matplotlib.projections.geo
¶

class
matplotlib.projections.geo.
AitoffAxes
(*args, **kwargs)[source]¶ Bases:
matplotlib.projections.geo.GeoAxes
Build an axes in a figure.
Parameters:  fig
Figure
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, sharey
Axes
, optional The x or y
axis
is shared with the x or y axis in the inputAxes
. 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
2tuple of floats or {'C', 'SW', 'S', 'SE', ...} 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 contains
unknown facecolor
or fccolor 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: 
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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_dims
), depending on the input.


name
= 'aitoff'¶
 fig

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:  fig
Figure
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, sharey
Axes
, optional The x or y
axis
is shared with the x or y axis in the inputAxes
. 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
2tuple of floats or {'C', 'SW', 'S', 'SE', ...} 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 contains
unknown facecolor
or fccolor 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: 
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.

drag_pan
(button, key, x, y)[source]¶ Called when the mouse moves during a pan operation.
Parameters:  button
MouseButton
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.
 button

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.

get_xaxis_text1_transform
(pad)[source]¶ Returns:  transformTransform
The transform used for drawing xaxis labels, which will add pad_points of padding (in points) between the axes and the label. The xdirection is in data coordinates and the ydirection 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 xaxis labels, which will add pad_points of padding (in points) between the axes and the label. The xdirection is in data coordinates and the ydirection 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 xaxis labels, ticks and gridlines. The xdirection is in data coordinates and the ydirection 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 yaxis labels, which will add pad_points of padding (in points) between the axes and the label. The xdirection is in axis coordinates and the ydirection 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 yaxis labels, which will add pad_points of padding (in points) between the axes and the label. The xdirection is in axis coordinates and the ydirection 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 yaxis labels, ticks and gridlines. The xdirection is in axis coordinates and the ydirection 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_longitude_grid_ends
(degrees)[source]¶ Set the latitude(s) at which to stop drawing the longitude grids.

set_xlim
(*args, **kwargs)[source]¶ Set the xaxis view limits.
Parameters:  leftfloat, optional
The left xlim in data coordinates. Passing None leaves the limit unchanged.
The left and right xlims may also be passed as the tuple (left, right) as the first positional argument (or as the left keyword argument).
 rightfloat, optional
The right xlim in data coordinates. Passing None leaves the limit unchanged.
 emitbool, default: True
Whether to notify observers of limit change.
 autobool or None, default: False
Whether to turn on autoscaling of the xaxis. True turns on, False turns off, None leaves unchanged.
 xmin, xmaxfloat, optional
They are equivalent to left and right respectively, and it is an error to pass both xmin and left or xmax and right.
Returns:  left, right(float, float)
The new xaxis limits in data coordinates.
See also
get_xlim
set_xbound
,get_xbound
invert_xaxis
,xaxis_inverted
Notes
The left value may be greater than the right value, in which case the xaxis values will decrease from left to right.
Examples
>>> set_xlim(left, right) >>> set_xlim((left, right)) >>> left, right = set_xlim(left, right)
One limit may be left unchanged.
>>> set_xlim(right=right_lim)
Limits may be passed in reverse order to flip the direction of the xaxis. For example, suppose x represents the number of years before present. The xaxis limits might be set like the following so 5000 years ago is on the left of the plot and the present is on the right.
>>> set_xlim(5000, 0)

set_xscale
(*args, **kwargs)¶ 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. value{"linear", "log", "symlog", "logit", ...} or

set_ylim
(*args, **kwargs)¶ Set the xaxis view limits.
Parameters:  leftfloat, optional
The left xlim in data coordinates. Passing None leaves the limit unchanged.
The left and right xlims may also be passed as the tuple (left, right) as the first positional argument (or as the left keyword argument).
 rightfloat, optional
The right xlim in data coordinates. Passing None leaves the limit unchanged.
 emitbool, default: True
Whether to notify observers of limit change.
 autobool or None, default: False
Whether to turn on autoscaling of the xaxis. True turns on, False turns off, None leaves unchanged.
 xmin, xmaxfloat, optional
They are equivalent to left and right respectively, and it is an error to pass both xmin and left or xmax and right.
Returns:  left, right(float, float)
The new xaxis limits in data coordinates.
See also
get_xlim
set_xbound
,get_xbound
invert_xaxis
,xaxis_inverted
Notes
The left value may be greater than the right value, in which case the xaxis values will decrease from left to right.
Examples
>>> set_xlim(left, right) >>> set_xlim((left, right)) >>> left, right = set_xlim(left, right)
One limit may be left unchanged.
>>> set_xlim(right=right_lim)
Limits may be passed in reverse order to flip the direction of the xaxis. For example, suppose x represents the number of years before present. The xaxis limits might be set like the following so 5000 years ago is on the left of the plot and the present is on the right.
>>> set_xlim(5000, 0)

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

start_pan
(x, y, button)[source]¶ Called when a pan operation has started.
Parameters:  x, yfloat
The mouse coordinates in display coords.
 button
MouseButton
The pressed mouse button.
Notes
This is intended to be overridden by new projection types.
 fig

class
matplotlib.projections.geo.
HammerAxes
(*args, **kwargs)[source]¶ Bases:
matplotlib.projections.geo.GeoAxes
Build an axes in a figure.
Parameters:  fig
Figure
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, sharey
Axes
, optional The x or y
axis
is shared with the x or y axis in the inputAxes
. 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
2tuple of floats or {'C', 'SW', 'S', 'SE', ...} 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 contains
unknown facecolor
or fccolor 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: 
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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_dims
), depending on the input.


name
= 'hammer'¶
 fig

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:  fig
Figure
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, sharey
Axes
, optional The x or y
axis
is shared with the x or y axis in the inputAxes
. 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
2tuple of floats or {'C', 'SW', 'S', 'SE', ...} 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 contains
unknown facecolor
or fccolor 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: 
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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_dims
), depending on the input.


name
= 'lambert'¶
 fig

class
matplotlib.projections.geo.
MollweideAxes
(*args, **kwargs)[source]¶ Bases:
matplotlib.projections.geo.GeoAxes
Build an axes in a figure.
Parameters:  fig
Figure
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, sharey
Axes
, optional The x or y
axis
is shared with the x or y axis in the inputAxes
. 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
2tuple of floats or {'C', 'SW', 'S', 'SE', ...} 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 contains
unknown facecolor
or fccolor 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: 
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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_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 nonaffine part of this transformation.
transform(values)
is always equivalent totransform_affine(transform_non_affine(values))
.In nonaffine transformations, this is generally equivalent to
transform(values)
. In affine transformations, this is always a noop.Parameters:  valuesarray
The input values as NumPy array of length
input_dims
or shape (N xinput_dims
).
Returns:  array
The output values as NumPy array of length
input_dims
or shape (N xoutput_dims
), depending on the input.


name
= 'mollweide'¶
 fig