matplotlib.projections
¶

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.
Creates a new
TransformNode
.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¶

input_dims
= 2¶

inverted
(self)[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.

is_separable
= False¶

output_dims
= 2¶

transform_non_affine
(self, xy)[source]¶ Performs only the nonaffine part of the 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:  valuesarray
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, optional
True means that the axes frame is visible.
 box_aspectNone, or a number, optional
Sets the aspect of the axes box. 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
float or None anchor
2tuple of floats or {'C', 'SW', 'S', 'SE', ...} animated
bool aspect
{'auto', 'equal'} or num autoscale_on
bool autoscalex_on
bool autoscaley_on
bool axes_locator
Callable[[Axes, Renderer], Bbox] axisbelow
bool or 'line' box_aspect
None, or a number clip_box
Bbox
clip_on
bool clip_path
Patch or (Path, Transform) or None contains
callable 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 or None 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", ...} xticklabels
List[str] xticks
unknown ybound
unknown ylabel
str ylim
(bottom: float, top: float) ymargin
float greater than 0.5 yscale
{"linear", "log", "symlog", "logit", ...} yticklabels
List[str] 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.
Creates a new
TransformNode
.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¶

input_dims
= 2¶

inverted
(self)¶ 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.

is_separable
= False¶

output_dims
= 2¶

transform_non_affine
(self, xy)¶ Performs only the nonaffine part of the 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:  valuesarray
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
(self)¶ Get the Affine transformation array 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.
Creates a new
TransformNode
.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¶

input_dims
= 2¶

inverted
(self)¶ 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.

is_separable
= False¶

output_dims
= 2¶

transform_non_affine
(self, tr)¶ Performs only the nonaffine part of the 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:  valuesarray
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.
autoscale
(self)¶ [Deprecated]
Notes
Deprecated since version 3.2:

pan
(self, numsteps)¶ Pan numticks (can be positive or negative)

refresh
(self)¶ Refresh internal information based on current limits.

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

zoom
(self, direction)¶ Zoom in/out on axis; if direction is >0 zoom in, else zoom out


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.

autoscale
(self)¶ [Deprecated]
Notes
Deprecated since version 3.2:

pan
(self, numsteps)¶ Pan numticks (can be positive or negative)

refresh
(self)¶ Refresh internal information based on current limits.

set_axis
(self, axis)¶

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

zoom
(self, direction)¶ Zoom in/out on axis; if direction is >0 zoom in, else zoom out


can_pan
(self)[source]¶ Return True if 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
(self)[source]¶ Return True if this axes supports the zoom box button functionality.
Polar axes do not support zoom boxes.

drag_pan
(self, button, key, x, y)[source]¶ Called when the mouse moves during a pan operation.
button is the mouse button number:
 1: LEFT
 2: MIDDLE
 3: RIGHT
key is a "shift" key
x, y are the mouse coordinates in display coords.
Note
Intended to be overridden by new projection types.

end_pan
(self)[source]¶ Called when a pan operation completes (when the mouse button is up.)
Note
Intended to be overridden by new projection types.

format_coord
(self, theta, r)[source]¶ Return a format string formatting the coordinate using Unicode characters.

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

get_rlabel_position
(self)[source]¶ Returns:  float
The theta position of the radius labels in degrees.

get_theta_direction
(self)[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
(self, 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 corrdinates
 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
(self, 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 corrdinates
 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
(self, 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
(self, 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 corrdinates
 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
(self, 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 corrdinates
 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
(self, 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
(self, 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:  lines, labelslist of
lines.Line2D
, list oftext.Text
lines are the radial gridlines and labels are the tick labels.
Other Parameters:  **kwargs
kwargs are optional
Text
properties for the labels.

set_rlabel_position
(self, value)[source]¶ Updates the theta position of the radius labels.
Parameters:  valuenumber
The angular position of the radius labels in degrees.

set_theta_direction
(self, 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
(self, loc, offset=0.0)[source]¶ Sets the location of theta's zero. (Calls set_theta_offset with the correct value in radians under the hood.)
 locstr
 May be one of "N", "NW", "W", "SW", "S", "SE", "E", or "NE".
 offsetfloat, optional
 An offset in degrees to apply from the specified
loc
. Note: this offset is always applied counterclockwise regardless of the direction setting.

set_thetagrids
(self, 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:  lines, labelslist of
lines.Line2D
, list oftext.Text
lines are the theta gridlines and labels are the tick labels.
Other Parameters:  **kwargs
kwargs are optional
Text
properties for the labels.

set_thetalim
(self, *args, **kwargs)[source]¶ Set the minimum and maximum theta values.
Parameters:  thetaminfloat
Minimum value in degrees.
 thetamaxfloat
Maximum value in degrees.

set_xscale
(self, scale, *args, **kwargs)[source]¶ Set the xaxis scale.
Parameters:  value{"linear", "log", "symlog", "logit", ...}
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
(self, bottom=None, top=None, emit=True, auto=False, *, ymin=None, ymax=None)[source]¶ Set the data limits for the radial axis.
Parameters:  bottomscalar, 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).
 topscalar, optional
The top limit (default: None, which leaves the top limit unchanged).
 emitbool, optional
Whether to notify observers of limit change (default: True).
 autobool or None, optional
Whether to turn on autoscaling of the yaxis. True turns on, False turns off (default action), None leaves unchanged.
 ymin, ymaxscalar, 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
(self, *args, **kwargs)[source]¶ Set the yaxis scale.
Parameters:  value{"linear", "log", "symlog", "logit", ...}
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.
 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.
Creates a new
TransformNode
.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¶

input_dims
= 2¶

inverted
(self)[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.

is_separable
= False¶

output_dims
= 2¶

transform_non_affine
(self, tr)[source]¶ Performs only the nonaffine part of the 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:  valuesarray
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'¶
 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.

class
matplotlib.projections.polar.
RadialTick
(axes, loc, label, size=None, width=None, color=None, tickdir=None, pad=None, labelsize=None, labelcolor=None, zorder=None, gridOn=None, tick1On=True, tick2On=True, label1On=True, label2On=False, major=True, labelrotation=0, grid_color=None, grid_linestyle=None, grid_linewidth=None, grid_alpha=None, **kw)[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
(axes, pickradius=15)[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'¶
 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.

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