# Source code for tecplot.plot.plot

    import contextlib
    import fnmatch
    import re
    import warnings

    from ..tecutil import _tecutil, _tecutil_connector, sv
    from ..constant import *
    from ..exception import *
    from .. import legend, session, tecutil, text, version
    from .axes import (Cartesian2DFieldAxes, Cartesian3DFieldAxes, SketchAxes,
                       PolarLineAxes, XYLineAxes)
    from .contour import ContourGroup
    from .fieldmap import (Cartesian2DFieldmap, Cartesian2DFieldmapCollection,
                           Cartesian3DFieldmap, Cartesian3DFieldmapCollection,
                           FieldmapCollection)
    from .isosurface import IsosurfaceGroup
    from .streamtrace import StreamtraceRodRibbon, Streamtraces
    from .vector import Vector2D, Vector3D
    from . import (blanking, effects, labels, linking, linemap,
                   rgb_coloring, scatter, slice, view)

    class Plot(session.Style):
        def __init__(self, frame, *svargs):
            self.frame = frame
            super().__init__(*svargs, uniqueid=frame.uid)

        def __eq__(self, that):
            return isinstance(that, type(self)) and self.frame == that.frame

        def __ne__(self, that):
            return not (self == that)

        @contextlib.contextmanager
        def activated(self):
            """Context to ensure this plot is active.

            Example usage::

                >>> from tecplot.constant import PlotType
                >>> frame = tecplot.active_frame()
                >>> frame.plot_type = PlotType.XYLine  # set active plot type
                >>> plot = frame.plot(PlotType.Cartesian3D)  # get inactive plot
                >>> print(frame.plot_type)
                PlotType.XYLine
                >>> with plot.activated():
                ...     print(frame.plot_type)  # 3D plot temporarily active
                PlotType.Cartesian3D
                >>> print(frame.plot_type)  # original plot type restored
                PlotType.XYLine
            """
            with self.frame.activated():
                orig_plot = self.frame.plot()
                try:
                    self.activate()
                    yield self
                finally:
                    orig_plot.activate()

    class SketchPlot(Plot):
        """A plot space with no data attached.

        .. code-block:: python
            :emphasize-lines: 5,8-9

            import tecplot as tp
            from tecplot.constant import PlotType

            frame = tp.active_frame()
            plot = frame.plot(PlotType.Sketch)

            frame.add_text('Hello, World!', (36, 50), size=34)
            plot.axes.x_axis.show = True
            plot.axes.y_axis.show = True

            tp.export.save_png('plot_sketch.png', 600, supersample=3)

        ..  figure:: /_static/images/plot_sketch.png
            :width: 300px
            :figwidth: 300px
        """

        def activate(self):
            """Make this the active plot type on the parent frame.

            Example usage::

                >>> from tecplot.constant import PlotType
                >>> plot = frame.plot(PlotType.Sketch)
                >>> plot.activate()
            """
            self.frame.plot_type = PlotType.Sketch

        @property
        def axes(self):
            """`SketchAxes`: Axes (x and y) for the sketch plot.

            Example usage::

                >>> from tecplot.constant import PlotType
                >>> frame.plot_type = PlotType.Sketch
                >>> frame.plot().axes.x_axis.show = True
            """
            return SketchAxes(self)

        @property
        def linking_between_frames(self):
            """`SketchPlotLinkingBetweenFrames`: Style linking between frames.

            Example usage::

                >>> plot.linking_between_frames.group = 1
                >>> plot.linking_between_frames.link_solution_time = True
            """
            return linking.SketchPlotLinkingBetweenFrames(self.frame)

        @property
        def linking_within_frame(self):
            """`LinkingWithinFrame`: Style linking within the frame.

            Example usage::

                >>> plot.linking_within_frame.link_gridline_style = True
            """
            return linking.LinkingWithinFrame(self.frame)

    class FieldPlot(Plot):
        """Plot containing data associated with style through fieldmaps.

        .. code-block:: python

            from os import path
            import tecplot as tp
            from tecplot.constant import PlotType

            examples_dir = tp.session.tecplot_examples_directory()
            infile = path.join(examples_dir, 'SimpleData', 'F18.plt')
            dataset = tp.data.load_tecplot(infile)

            frame = tp.active_frame()
            plot = frame.plot(PlotType.Cartesian3D)
            plot.activate()
            plot.show_contour = True
            plot.use_translucency = True
            plot.contour(0).variable = dataset.variable('S')

            # ensure consistent output between interactive (connected) and batch
            plot.contour(0).levels.reset_to_nice()

            # save image to file
            tp.export.save_png('plot_field.png', 600, supersample=3)

        ..  figure:: /_static/images/plot_field.png
            :width: 300px
            :figwidth: 300px
        """
        def __init__(self, frame):
            super().__init__(frame, sv.FIELDLAYERS)

        def contour(self, index):
            """`ContourGroup`: Plot-local `ContourGroup` style control.

            Example usage::

                >>> contour = frame.plot().contour(0)
                >>> contour.colormap_name = 'Magma'
            """
            return ContourGroup(index, self)

        @property
        def streamtraces(self):
            """`Streamtraces`: Plot-local `streamtrace <Streamtraces>` attributes.

            Example usage::

                >>> streamtraces = frame.plot().streamtraces
                >>> streamtraces.color = Color.Blue
            """
            return Streamtraces(self)

        def slice(self, index):
            tecutil.api_changed('''\
                Access to 3D slice groups from 2D plots has been removed.
                Use frame.plot(PlotType.Cartesian3D).slice() to access
                slice groups.''', '0.13', '2018 R2')

        def isosurface(self, index):
            tecutil.api_changed('''\
                Access to 3D isosurface groups from 2D plots has been removed.
                Use frame.plot(PlotType.Cartesian3D).isosurface() to access
                isosurface groups.''', '0.13', '2018 R2')

        @property
        def rgb_coloring(self):
            """`RGBColoring`: RGB contour flooding style control.

            Example usage::

                >>> plot.rgb_coloring.red_variable = dataset.variable('gas')
                >>> plot.rgb_coloring.green_variable = dataset.variable('oil')
                >>> plot.rgb_coloring.blue_variable = dataset.variable('water')
                >>> plot.show_contour = True
                >>> plot.fieldmaps().contour.flood_contour_group = plot.rgb_coloring
            """
            return rgb_coloring.RGBColoring(self)

        @property
        def scatter(self):
            """`Scatter`: Plot-local `Scatter` style control.

            Example usage::

                >>> scatter = frame.plot().scatter
                >>> scatter.variable = dataset.variable('P')
            """
            return scatter.Scatter(self)

        @property
        def show_contour(self):
            """`bool`: Enable contours for this plot.

            Example usage::

                >>> frame.plot().show_contour = True
            """
            return self._get_style(bool, sv.SHOWCONTOUR)

        @show_contour.setter
        def show_contour(self, show):
            self._set_style(bool(show), sv.SHOWCONTOUR)

        @property
        def show_edge(self):
            """`bool`: Enable zone edge lines for this plot.

            Example usage::

                >>> frame.plot().show_edge = True
            """
            return self._get_style(bool, sv.SHOWEDGE)

        @show_edge.setter
        def show_edge(self, show):
            self._set_style(bool(show), sv.SHOWEDGE)

        @property
        def show_mesh(self):
            """`bool`: Enable mesh lines for this plot.

            Example usage::

                >>> frame.plot().show_mesh = True
            """
            return self._get_style(bool, sv.SHOWMESH)

        @show_mesh.setter
        def show_mesh(self, show):
            self._set_style(bool(show), sv.SHOWMESH)

        @property
        def show_scatter(self):
            """`bool`: Enable scatter symbols for this plot.

            Example usage::

                >>> frame.plot().show_scatter = True
            """
            return self._get_style(bool, sv.SHOWSCATTER)

        @show_scatter.setter
        def show_scatter(self, show):
            self._set_style(bool(show), sv.SHOWSCATTER)

        @property
        def show_shade(self):
            """`bool`: Enable surface shading effect for this plot.

            Example usage::

                >>> frame.plot().show_shade = True
            """
            return self._get_style(bool, sv.SHOWSHADE)

        @show_shade.setter
        def show_shade(self, show):
            self._set_style(bool(show), sv.SHOWSHADE)

        @property
        def show_slices(self):
            """`bool`: Show slices for this plot.

            Example usage::

                >>> frame.plot().show_slices(True)
            """
            with self.frame.activated():
                return session.get_style(bool, sv.SLICELAYERS, sv.SHOW,
                                         uniqueid=self.frame.uid)

        @show_slices.setter
        def show_slices(self, show):
            with self.frame.activated():
                session.set_style(bool(show), sv.SLICELAYERS, sv.SHOW,
                                  uniqueid=self.frame.uid)

        @property
        def show_isosurfaces(self):
            """`bool`: Show isosurfaces for this plot.

            Example usage::

                >>> frame.plot().show_isosurfaces(True)
            """
            with self.frame.activated():
                return session.get_style(bool, sv.ISOSURFACELAYERS, sv.SHOW,
                                         uniqueid=self.frame.uid)

        @show_isosurfaces.setter
        def show_isosurfaces(self, show):
            with self.frame.activated():
                session.set_style(bool(show), sv.ISOSURFACELAYERS, sv.SHOW,
                                  uniqueid=self.frame.uid)

        @property
        def show_streamtraces(self):
            """`bool`: Enable drawing `Streamtraces` on this plot.

            Example usage::

                >>> frame.plot().show_streamtraces = True
            """
            with self.frame.activated():
                return session.get_style(bool, sv.STREAMTRACELAYERS, sv.SHOW,
                                         uniqueid=self.frame.uid)

        @show_streamtraces.setter
        def show_streamtraces(self, show):
            with self.frame.activated():
                session.set_style(bool(show), sv.STREAMTRACELAYERS, sv.SHOW,
                                  uniqueid=self.frame.uid)

        @property
        def show_vector(self):
            """`bool`: Enable drawing of vectors.

            Example usage::

                >>> frame.plot().show_vector = True
            """
            return self._get_style(bool, sv.SHOWVECTOR)

        @show_vector.setter
        def show_vector(self, show):
            self._set_style(bool(show), sv.SHOWVECTOR)

        @property
        def num_fieldmaps(self):
            """`int`: Number of all fieldmaps in this plot.

            Example usage::

                >>> print(frame.plot().num_fieldmaps)
                3
            """
            return _tecutil.FieldMapGetCountForFrame(self.frame.uid)

        def _fieldmap_indices(self, *keys):
            result = set()
            for key in tecutil.flatten_args(*keys):
                if isinstance(key, FieldmapCollection):
                    result |= key._indices
                elif isinstance(key, int):
                    result.add(key)
                else:
                    index = getattr(key, 'index', self.fieldmap_index(key))
                    result.add(index)
            return result

        def fieldmap_index(self, zone):
            """The index of the fieldmap associated with a `Zone <data_access>`.

            Parameters:
                zone (`Zone <data_access>`): The `Zone <data_access>` object that
                    belongs to the `Dataset <data.Dataset>` associated with this plot.

            Returns:
                `Index`

            Example usage::

                >>> fmap_index = plot.fieldmap_index(dataset.zone('Zone'))
                >>> plot.fieldmap(fmap_index).show_mesh = True
            """
            with self.frame.activated():
                return tecutil.Index(_tecutil.ZoneGetFieldMap(zone.index + 1) - 1)

        @property
        def active_fieldmap_indices(self):
            """`set`: Set of active fieldmaps by index.

            This example sets the first three fieldmaps active, disabling all
            others. It then turns on scatter symbols for just these three::

                >>> plot.active_fieldmap_indices = [0, 1, 2]
                >>> plot.fieldmaps(0, 1, 2).scatter.show = True
            """
            return session.get_style(set, sv.ACTIVEFIELDMAPS,
                                     uniqueid=self.frame.uid)

        @active_fieldmap_indices.setter
        def active_fieldmap_indices(self, values):
            session.set_style(set(values), sv.ACTIVEFIELDMAPS,
                              uniqueid=self.frame.uid)

        @property
        def num_solution_times(self):
            """`int`: Number of solution times for all active fieldmaps.

            .. note::

                This only returns the number of *active* solution times. When
                assigning strands and solution times to zones, the zones are
                placed into an *inactive* fieldmap that must be subsequently
                activated. See example below.

            .. code-block:: python

                >>> # place all zones into a single fieldmap (strand: 1)
                >>> # with incrementing solution times
                >>> for time, zone in enumerate(dataset.zones()):
                ...     zone.strand = 1
                ...     zone.solution_time = time
                ...
                >>> # We must activate the fieldmap to ensure the plot's
                >>> # solution times have been updated. Since we placed
                >>> # all zones into a single fieldmap, we can assume the
                >>> # first fieldmap (index: 0) is the one we want.
                >>> plot.active_fieldmaps += [0]
                >>>
                >>> # now the plot's solution times are available.
                >>> print(plot.num_solution_times)
                10
                >>> print(plot.solution_times)
                [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]

            .. versionadded:: 2017.2
                Solution time manipulation requires Tecplot 360 2017 R2 or later.
            """
            success, result = _tecutil.SolutionTimeGetNumTimeStepsForFrame(
                self.frame.uid)
            if not success:
                raise TecplotSystemError()
            return result

        @property
        def solution_times(self):
            """`list` of `floats <float>`: `List <list>` of active solution times.

            .. note::

                This only returns the list of *active* solution times. When
                assigning strands and solution times to zones, the zones are placed
                into an *inactive* fieldmap that must be subsequently activated.
                See example below.

            Example usage::

                >>> print(plot.solution_times)
                [0.0, 1.0, 2.0]

            .. versionadded:: 2017.2
                Solution time manipulation requires Tecplot 360 2017 R2 or later.
            """
            res = _tecutil.SolutionTimeGetSolutionTimesForFrame(self.frame.uid)
            success, ntimes, times = res
            if not success:
                raise TecplotSystemError()
            ret = list(times[:ntimes])
            if not _tecutil_connector.connected:
                _tecutil.ArrayDealloc(times)
            return ret

        @property
        def transient_zone_visibility(self):
            """`TransientZoneVisibility`: Policy to determine transient visibility of zones.

            Possible values: `ZonesAtOrBeforeSolutionTime`, `ZonesAtSolutionTime`.

            Example usage::

                >>> from tecplot.constant import TransientZoneVisibility
                >>> plot.transient_zone_visibility = \\
                ...     TransientZoneVisibility.ZonesAtSolutionTime

            .. versionadded:: 2021.2
                Transient zone visibility requires Tecplot 360 2021 R2 or later.
            """
            if __debug__:
                reqver = (2021, 2)
                if version.sdk_version_info < reqver:
                    msg = 'Transient zone visibility requires 2021 R2 or later.'
                    raise TecplotOutOfDateEngineError(reqver, msg)
            style = session.Style(sv.GLOBALTIME, **self._kw)
            return style._get_style(TransientZoneVisibility, sv.TRANSIENTZONEVISIBILITY)

        @transient_zone_visibility.setter
        def transient_zone_visibility(self, value):
            if __debug__:
                reqver = (2021, 2)
                if version.sdk_version_info < reqver:
                    msg = 'Transient zone visibility requires 2021 R2 or later.'
                    raise TecplotOutOfDateEngineError(reqver, msg)
            style = session.Style(sv.GLOBALTIME, **self._kw)
            style._set_style(TransientZoneVisibility(value), sv.TRANSIENTZONEVISIBILITY)

        @property
        def solution_time(self):
            """`float`: The current solution time.

            Example usage::

                >>> print(plot.solution_times)
                [0.0, 1.0, 2.0]
                >>> plot.solution_time = 1.0

            .. note:: **Possible side-effect when connected to Tecplot 360.**

                    Changing the solution times in the dataset or modifying the
                    active fieldmaps in a frame may trigger a change in the active
                    plot's solution time by the Tecplot 360 interface. This is done
                    to keep the GUI controls consistent. In batch mode, no such
                    side-effect will take place and the user must take care to set
                    the plot's solution time with the `plot.solution_time
                    <Cartesian3DFieldPlot.solution_time>` or
                    `plot.solution_timestep
                    <Cartesian3DFieldPlot.solution_timestep>` properties.

            .. versionadded:: 2017.2
                Solution time manipulation requires Tecplot 360 2017 R2 or later.
            """
            return _tecutil.SolutionTimeGetCurrentForFrame(self.frame.uid)

        @solution_time.setter
        @tecutil.lock()
        def solution_time(self, value):
            with self.frame.activated():
                res = _tecutil.SolutionTimeSetCurrent(float(value))
                if res not in [SetValueReturnCode.Ok,
                               SetValueReturnCode.DuplicateValue]:
                    raise TecplotSystemError()

        @property
        def solution_timestep(self):
            """`int`: The zero-based index of the current solution time.

            A negative index is interpreted as counting from the end of the
            available solution timesteps. Example usage::

                >>> print(plot.solution_times)
                [0.0, 1.0, 2.0]
                >>> print(plot.solution_time)
                0.0
                >>> plot.solution_timestep += 1
                >>> print(plot.solution_time)
                1.0

            .. note:: **Possible side-effect when connected to Tecplot 360.**

                    Changing the solution times in the dataset or modifying the
                    active fieldmaps in a frame may trigger a change in the active
                    plot's solution time by the Tecplot 360 interface. This is done
                    to keep the GUI controls consistent. In batch mode, no such
                    side-effect will take place and the user must take care to set
                    the plot's solution time with the `plot.solution_time
                    <Cartesian3DFieldPlot.solution_time>` or
                    `plot.solution_timestep
                    <Cartesian3DFieldPlot.solution_timestep>` properties.

            .. versionadded:: 2017.2
                Solution time manipulation requires Tecplot 360 2017 R2 or later.
            """
            success, result = _tecutil.SolutionTimeGetCurrentTimeStepForFrame(
                self.frame.uid)
            if not success:
                raise TecplotSystemError()
            return result - 1

        @solution_timestep.setter
        def solution_timestep(self, timestep):
            timestep = int(timestep)
            if timestep < 0:
                timestep = self.num_solution_times + timestep
            success, time = _tecutil.SolutionTimeGetSolutionTimeAtTimeStepForFrame(
                self.frame.uid, int(timestep) + 1)
            if not success:
                raise TecplotSystemError()
            self.solution_time = time

        @property
        def ijk_blanking(self):
            """`IJKBlanking`: Mask off cells by :math:`(i, j, k)` index.

            Example usage::

                >>> plot.ijk_blanking.min_percent = (50, 50)
                >>> plot.ijk_blanking.active = True
            """
            return blanking.IJKBlanking(self)

        @property
        def data_labels(self):
            """`FieldPlotDataLabels`: Node and cell labels.

            This object controls displaying labels for every node and/or cell in
            the dataset. Example usage::

                >>> plot.data_labels.show_cell_labels = True
                >>> plot.data_labels.step_index = 10
            """
            return labels.FieldPlotDataLabels(self)

        @property
        def linking_within_frame(self):
            """`FieldPlotLinkingWithinFrame`: Style linking within the frame.

            Example usage::

                >>> plot.linking_within_frame.link_gridline_style = True
            """
            return linking.FieldPlotLinkingWithinFrame(self.frame)

    class Cartesian2DFieldPlot(FieldPlot):
        """2D plot containing field data associated with style through fieldmaps.

        .. code-block:: python
            :emphasize-lines: 10-17,23-24

            from os import path
            import tecplot as tp
            from tecplot.constant import PlotType

            examples_dir = tp.session.tecplot_examples_directory()
            infile = path.join(examples_dir, 'SimpleData', 'HeatExchanger.plt')
            dataset = tp.data.load_tecplot(infile)

            frame = tp.active_frame()
            plot = frame.plot(PlotType.Cartesian2D)
            plot.activate()

            plot.vector.u_variable = dataset.variable('U(M/S)')
            plot.vector.v_variable = dataset.variable('V(M/S)')

            plot.contour(2).variable = dataset.variable('T(K)')
            plot.contour(2).colormap_name = 'Sequential - Yellow/Green/Blue'

            for z in dataset.zones():
                fmap = plot.fieldmap(z)
                fmap.contour.flood_contour_group = plot.contour(2)

            plot.show_contour = True
            plot.show_vector = True

            # ensure consistent output between interactive (connected) and batch
            plot.contour(2).levels.reset_to_nice()

            # save image to file
            tp.export.save_png('plot_field2d.png', 600, supersample=3)

        ..  figure:: /_static/images/plot_field2d.png
            :width: 300px
            :figwidth: 300px
        """

        def activate(self):
            """Make this the active plot type on the parent frame.

            Example usage::

                >>> from tecplot.constant import PlotType
                >>> plot = frame.plot(PlotType.Cartesian2D)
                >>> plot.activate()
            """
            self.frame.plot_type = PlotType.Cartesian2D

        @property
        def axes(self):
            """`Cartesian2DFieldAxes`: Axes style control for this plot.

            Example usage::

                >>> from tecplot.constant import PlotType
                >>> frame.plot_type = PlotType.Cartesian2D
                >>> axes = frame.plot().axes
                >>> axes.x_axis.variable = dataset.variable('U')
                >>> axes.y_axis.variable = dataset.variable('V')
            """
            return Cartesian2DFieldAxes(self)

        def fieldmap(self, key):
            """Returns a `Cartesian2DFieldmap` by `Zone <data_access>` or index.

            Parameters:
                key (`Zone <data_access>` or `int`): The `Zone <data_access>` must
                    be in the `Dataset <data.Dataset>` attached to the associated frame of this
                    plot. A negative index is interpreted as counting from the end
                    of the available fieldmaps.

            Example usage::

                >>> fmap = plot.fieldmap(dataset.zone(0))
                >>> fmap.scatter.show = True
            """
            if isinstance(key, int):
                index = self.num_fieldmaps + key if key < 0 else key
            else:
                index = self.fieldmap_index(key)
            return Cartesian2DFieldmap(self, index)

        def fieldmaps(self, *keys):
            """`Cartesian2DFieldmapCollection` by `Zones <data_access>` or indices.

            Parameters:
                keys (`list` of `Zones <data_access>` or `ints <int>`): The
                    `Zones <data_access>` must be in the `Dataset <data.Dataset>` attached to the
                    associated frame of this plot. Negative indices are interpreted
                    as counting from the end of the available fieldmaps.

            Example usage::

                >>> fmaps = plot.fieldmaps(dataset.zone(0), dataset.zone(1))
                >>> fmaps.scatter.show = True

            .. versionchanged:: 0.9
                `fieldmaps` was changed from a property (0.8 and earlier) to a
                method requiring parentheses.
            """
            indices = self._fieldmap_indices(*keys)
            if not indices:
                indices = range(self.num_fieldmaps)
            return Cartesian2DFieldmapCollection(self, *indices)

        @property
        def active_fieldmaps(self):
            """`Cartesian2DFieldmapCollection`: Active fieldmaps in this plot.

            Example usage::

                >>> plot.active_fieldmaps.vector.show = True

            .. note:: **Possible side-effect when connected to Tecplot 360.**

                    Changing the solution times in the dataset or modifying the
                    active fieldmaps in a frame may trigger a change in the active
                    plot's solution time by the Tecplot 360 interface. This is done
                    to keep the GUI controls consistent. In batch mode, no such
                    side-effect will take place and the user must take care to set
                    the plot's solution time with the `plot.solution_time
                    <Cartesian3DFieldPlot.solution_time>` or
                    `plot.solution_timestep
                    <Cartesian3DFieldPlot.solution_timestep>` properties.
            """
            indices = self.active_fieldmap_indices
            return Cartesian2DFieldmapCollection(self, *indices)

        @active_fieldmaps.setter
        def active_fieldmaps(self, fmaps):
            indices = getattr(fmaps, 'fieldmap_indices', fmaps)
            self.active_fieldmap_indices = indices

        @property
        def vector(self):
            """`Vector2D`: Vector variable and style control for this plot.

            Example usage::

                >>> plot.vector.u_variable = dataset.variable('U')
            """
            return Vector2D(self)

        @property
        def draw_order(self):
            """`TwoDDrawOrder`: The order in which objects are drawn to the screen.

            Possible values: `TwoDDrawOrder.ByZone`, `TwoDDrawOrder.ByLayer`.

            The order is either by `Zone <data_access>` or by visual layer
            (contour, mesh, etc.)::

                >>> plot.draw_order = TwoDDrawOrder.ByZone
            """
            return self._get_style(TwoDDrawOrder, sv.TWODDRAWORDER)

        @draw_order.setter
        def draw_order(self, order):
            self._set_style(TwoDDrawOrder(order), sv.TWODDRAWORDER)

        @property
        def view(self):
            """`Cartesian2DFieldView`: Axes orientation and limits adjustments.

            Example usage::

                >>> plot.view.fit()
            """
            return view.Cartesian2DFieldView(self)

        @property
        def value_blanking(self):
            """`ValueBlanking`: Mask off cells by value.

            Example usage::

                >>> plot.value_blanking.constraint(0).comparison_value = 3.14
                >>> plot.value_blanking.constraint(0).active = True
            """
            return blanking.ValueBlankingCartesian2D(self)

        @property
        def linking_between_frames(self):
            """`Cartesian2DPlotLinkingBetweenFrames`: Style linking between frames.

            Example usage::

                >>> plot.linking_between_frames.group = 1
                >>> plot.linking_between_frames.link_solution_time = True
            """
            return linking.Cartesian2DPlotLinkingBetweenFrames(self.frame)

    class Cartesian3DFieldPlot(FieldPlot):
        """3D plot containing field data associated with style through fieldmaps.

        .. code-block:: python
            :emphasize-lines: 10-14

            from os import path
            import tecplot as tp
            from tecplot.constant import PlotType

            examples_dir = tp.session.tecplot_examples_directory()
            infile = path.join(examples_dir, 'SimpleData', 'SpaceShip.lpk')
            dataset = tp.load_layout(infile)

            frame = tp.active_frame()
            plot = frame.plot(PlotType.Cartesian3D)
            plot.activate()
            plot.use_lighting_effect = False
            plot.show_streamtraces = False
            plot.use_translucency = True

            # ensure consistent output between interactive (connected) and batch
            plot.contour(0).levels.reset_to_nice()

            # save image to file
            tp.export.save_png('plot_field3d.png', 600, supersample=3)

        ..  figure:: /_static/images/plot_field3d.png
            :width: 300px
            :figwidth: 300px
        """

        def activate(self):
            """Make this the active plot type on the parent frame.

            Example usage::

                >>> from tecplot.constant import PlotType
                >>> plot = frame.plot(PlotType.Cartesian3D)
                >>> plot.activate()
            """
            self.frame.plot_type = PlotType.Cartesian3D

        @property
        def axes(self):
            """`Cartesian3DFieldAxes`: Axes style control for this plot.

            Example usage::

                >>> from tecplot.constant import PlotType
                >>> frame.plot_type = PlotType.Cartesian3D
                >>> axes = frame.plot().axes
                >>> axes.x_axis.variable = dataset.variable('U')
                >>> axes.y_axis.variable = dataset.variable('V')
                >>> axes.z_axis.variable = dataset.variable('W')
            """
            return Cartesian3DFieldAxes(self)

        def fieldmap(self, key):
            """Returns a `Cartesian3DFieldmap` by `Zone <data_access>` or index.

            Parameters:
                key (`Zone <data_access>` or `int`): The `Zone
                    <data_access>` must be in the `Dataset <data.Dataset>` attached to the
                    associated frame of this plot. A negative index is interpreted
                    as counting from the end of the available fieldmaps.

            Example usage::

                >>> fmap = plot.fieldmap(dataset.zone(0))
                >>> fmap.scatter.show = True
            """
            if isinstance(key, int):
                index = self.num_fieldmaps + key if key < 0 else key
            else:
                index = self.fieldmap_index(key)
            return Cartesian3DFieldmap(self, index)

        def fieldmaps(self, *keys):
            """`Cartesian3DFieldmapCollection` by `Zones <data_access>` or indices.

            Parameters:
                keys (`list` of `Zones <data_access>` or `integers <int>`): The
                    `Zones <data_access>` must be in the `Dataset <data.Dataset>` attached to the
                    associated frame of this plot. Negative indices are interpreted
                    as counting from the end of the available fieldmaps.

            Example usage::

                >>> fmaps = plot.fieldmaps(dataset.zone(0), dataset.zone(1))
                >>> fmaps.scatter.show = True

            .. versionchanged:: 0.9
                `fieldmaps` was changed from a property (0.8 and earlier) to a
                method requiring parentheses.
            """
            indices = self._fieldmap_indices(*keys)
            if not indices:
                indices = range(self.num_fieldmaps)
            return Cartesian3DFieldmapCollection(self, *indices)

        @property
        def active_fieldmaps(self):
            """`Cartesian3DFieldmapCollection`: Active fieldmaps in this plot.

            Example usage::

                >>> plot.active_fieldmaps.vector.show = True

            .. note:: **Possible side-effect when connected to Tecplot 360.**

                    Changing the solution times in the dataset or modifying the
                    active fieldmaps in a frame may trigger a change in the active
                    plot's solution time by the Tecplot 360 interface. This is done
                    to keep the GUI controls consistent. In batch mode, no such
                    side-effect will take place and the user must take care to set
                    the plot's solution time with the `plot.solution_time
                    <Cartesian3DFieldPlot.solution_time>` or
                    `plot.solution_timestep
                    <Cartesian3DFieldPlot.solution_timestep>` properties.
            """
            indices = self.active_fieldmap_indices
            return Cartesian3DFieldmapCollection(self, *indices)

        @active_fieldmaps.setter
        def active_fieldmaps(self, fmaps):
            indices = getattr(fmaps, 'fieldmap_indices',
                              [getattr(fmap, 'index', fmap) for fmap in fmaps])
            self.active_fieldmap_indices = indices

        def slice(self, index):
            """`SliceGroup`: Plot-local `slice <SliceGroup>` style control.

            Example usage::

                >>> from tecplot.constant import Color
                >>> slice0 = frame.plot().slice(0)
                >>> slice0.mesh.show = True
                >>> slice0.mesh.color = Color.Blue
            """
            return slice.SliceGroup(self, index)

        def slices(self, *indices):
            """`SliceGroupCollection`: Plot-local slice style control.

            Example setting setting mesh color of all slices to blue::

                >>> from tecplot.constant import Color
                >>> slices = frame.plot().slices()
                >>> slices.mesh.show = True
                >>> slices.mesh.color = Color.Blue

            Example turning on the first two slice's contour layer::

                >>> slices = frame.plot().slices(0, 1)
                >>> slices.contour.show = True
            """
            return slice.SliceGroupCollection(self, *indices)

        def isosurface(self, index):
            """`IsosurfaceGroup`: Plot-local `isosurface <IsosurfaceGroup>` settings.

            Example usage::

                >>> isosurface_0 = frame.plot().isosurface(0)
                >>> isosurface_0.mesh.color = Color.Blue
            """
            return IsosurfaceGroup(index, self)

        @property
        def vector(self):
            """`Vector3D`: Vector variable and style control for this plot.

            Example usage::

                >>> plot.vector.u_variable = dataset.variable('U')
            """
            return Vector3D(self)

        @property
        def view(self):
            """`Cartesian3DView`: Viewport, axes orientation and limits adjustments.

            Example usage::

                >>> plot.view.fit()
            """
            return view.Cartesian3DView(self)

        @property
        def use_lighting_effect(self):
            """`bool`: Enable lighting effect for all objects within this plot.

            Example usage::

                >>> frame.plot().use_lighting_effect = True
            """
            return self._get_style(bool, sv.USELIGHTINGEFFECT)

        @use_lighting_effect.setter
        def use_lighting_effect(self, value):
            self._set_style(bool(value), sv.USELIGHTINGEFFECT)

        @property
        def use_translucency(self):
            """`bool`: Enable translucent effect for all objects within this plot.

            Example usage::

                >>> frame.plot().use_translucency = True
            """
            return self._get_style(bool, sv.USETRANSLUCENCY)

        @use_translucency.setter
        def use_translucency(self, show):
            self._set_style(bool(show), sv.USETRANSLUCENCY)

        @property
        def light_source(self):
            """`LightSource`: Control the direction and effects of lighting.

            Example usage::

                >>> plot.light_source.intensity = 70.0
            """
            return effects.LightSource(self)

        @property
        def value_blanking(self):
            """`ValueBlanking`: Mask off cells by value.

            Example usage::

                >>> plot.value_blanking.constraint(0).comparison_value = 3.14
                >>> plot.value_blanking.constraint(0).active = True
            """
            return blanking.ValueBlankingCartesian3D(self)

        @property
        def line_lift_fraction(self):
            """`float`: Lift lines above plot by percentage distance to the eye.

            Example usage::

                >>> plot.line_lift_fraction = 0.6
            """
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            return style._get_style(float, sv.LINELIFTFRACTION)

        @line_lift_fraction.setter
        def line_lift_fraction(self, value):
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            style._set_style(float(value), sv.LINELIFTFRACTION)

        @property
        def near_plane_fraction(self):
            """`float`: position of the "near plane".

            In a 3D plot, the "near plane" acts as a windshield. Anything in front
            of this plane does not display. Example usage::

                >>> plot.near_plane_fraction = 0.1
            """
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            return style._get_style(float, sv.NEARPLANEFRACTION)

        @near_plane_fraction.setter
        def near_plane_fraction(self, value):
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            style._set_style(float(value), sv.NEARPLANEFRACTION)

        @property
        def perform_extra_sorting(self):
            """`bool`: Use a more robust depth sorting algorithm for display.

            When printing 3D plots in a vector graphics format, Tecplot 360 must
            sort the objects so that it can draw those farthest from the screen
            first and those closest to the screen last. By default, Tecplot 360
            uses a quick sorting algorithm. This is not always accurate and does
            not detect problems such as intersecting objects. When
            ``perform_extra_sorting`` set to `True`, Tecplot 360 uses a slower,
            more accurate approach that detects and resolves such problems. Example
            usage::

                >>> plot.perform_extra_sorting = True
            """
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            return style._get_style(bool, sv.PERFORMEXTRA3DSORTING)

        @perform_extra_sorting.setter
        def perform_extra_sorting(self, value):
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            style._set_style(bool(value), sv.PERFORMEXTRA3DSORTING)

        @property
        def symbol_lift_fraction(self):
            """`float`: Lift symbols above plot by percentage distance to the eye.

            Example usage::

                >>> plot.symbol_lift_fraction = 0.6
            """
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            return style._get_style(float, sv.SYMBOLLIFTFRACTION)

        @symbol_lift_fraction.setter
        def symbol_lift_fraction(self, value):
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            style._set_style(float(value), sv.SYMBOLLIFTFRACTION)

        @property
        def vector_lift_fraction(self):
            """`float`: Lift vectors above plot by percentage distance to the eye.

            Example usage::

                >>> plot.vector_lift_fraction = 0.6
            """
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            return style._get_style(float, sv.VECTORLIFTFRACTION)

        @vector_lift_fraction.setter
        def vector_lift_fraction(self, value):
            style = session.Style(sv.GLOBALTHREED, **self._kw)
            style._set_style(float(value), sv.VECTORLIFTFRACTION)

        @property
        def linking_between_frames(self):
            """`Cartesian3DPlotLinkingBetweenFrames`: Style linking between frames.

            Example usage::

                >>> plot.linking_between_frames.group = 1
                >>> plot.linking_between_frames.link_solution_time = True
            """
            return linking.Cartesian3DPlotLinkingBetweenFrames(self.frame)

    class LinePlot(Plot):
        """Plot with line data and associated style through linemaps.

        .. code-block:: python

            from os import path
            import tecplot as tp
            from tecplot.constant import PlotType, Color, LinePattern

            examples_dir = tp.session.tecplot_examples_directory()
            infile = path.join(examples_dir, 'SimpleData', 'Rainfall.dat')
            dataset = tp.data.load_tecplot(infile)

            frame = tp.active_frame()
            frame.plot_type = PlotType.XYLine
            plot = frame.plot()
            plot.show_symbols = True

            # save image to file
            tp.export.save_png('plot_line.png', 600, supersample=3)

        ..  figure:: /_static/images/plot_line.png
            :width: 300px
            :figwidth: 300px
        """

        def __init__(self, frame):
            super().__init__(frame, sv.LINEPLOTLAYERS)

        @tecutil.lock()
        def delete_linemaps(self, *linemaps):
            r"""Clear all linemaps within this plot.

            Parameters:
                \*linemaps (:ref:`Linemap`, `int` or `str`):
                    One or more of the following: :ref:`Linemap` objects, linemap
                    indices (zero-based) or linemap names. If none are given, all
                    linemaps will be deleted.

            Example usage::

                >>> plot.delete_linemaps()
                >>> print(plot.num_linemaps)
                0
            """
            if not linemaps:
                return _tecutil.LineMapDelete(None)
            with tecutil.IndexSet() as indices:
                for lmap in tecutil.flatten_args(*linemaps):
                    try:
                        # try as a Linemap object
                        indices.append(lmap.index)
                    except (AttributeError, TypeError):
                        try:
                            # try as a linemap index
                            indices.append(lmap)
                        except TypeError:
                            # assume name pattern
                            for submap in self.linemaps(lmap):
                                indices.append(submap.index)
                return _tecutil.LineMapDelete(indices)

        @property
        def num_linemaps(self):
            """`int`: Number of linemaps held by this plot.

            Example usage::

                >>> print(plot.num_linemaps)
                3
            """
            return _tecutil.LineMapGetCountForFrame(self.frame.uid)

        def _linemap_indices_by_name(self, pattern):
            pattern_type = getattr(re, 'Pattern', getattr(re, '_pattern_type', None))
            if not isinstance(pattern, pattern_type):
                regex = re.compile(fnmatch.translate(pattern), re.IGNORECASE)
            else:
                regex = pattern

            indices = set()
            with self.frame.activated():
                found = False
                for i in range(self.num_linemaps):
                    try:
                        _, name = _tecutil.LineMapGetName(i + 1)
                        name = name or ''
                    except (AttributeError, TecplotSystemError):
                        name = ''
                    if regex.match(name):
                        found = True
                        indices.add(i)
                if __debug__:
                    if (
                        not found and
                        isinstance(pattern, str) and
                        any(c in pattern for c in '*?[]')
                    ):
                        msg = 'no linemaps found matching: "{}"'.format(pattern)
                        warning = TecplotPatternMatchWarning(pattern, msg)
                        warnings.warn(warning)
            return indices

        def _linemap_indices(self, *keys):
            """
            convert keys to a set of indices where keys are:
                * int: get one linemap index (converting negative values)
                * regex pattern: match by name
                * glob-style string: match by name
            if no keys are given, get all linemaps indices
            """
            indices = set()
            if keys:
                for key in keys:
                    if isinstance(key, int):
                        index = key + self.num_linemaps if key < 0 else key
                        if index >= self.num_linemaps:
                            msg = 'linemap index out of range: ' + str(index)
                            raise TecplotIndexError(msg)
                        indices.add(index)
                    else:
                        indices |= self._linemap_indices_by_name(key)
            else:
                indices |= set(range(self.num_linemaps))
            return indices

        @tecutil.lock()
        def _add_linemap(self, name, zone, show=True):
            with self.frame.activated():
                new_linemap_index = self.num_linemaps
                if not _tecutil.LineMapCreate():
                    raise TecplotSystemError()
                linemap = self.linemap(new_linemap_index)
                if name is not None:
                    linemap.name = name
                if zone is not None:
                    linemap.zone_index = getattr(zone, 'index', zone)
                if show is not None:
                    linemap.show = show
                return linemap

        @property
        def legend(self):
            """`LineLegend`: Line plot legend style and placement control.

            Example usage::

                >>> plot.legend.show = True
            """
            return legend.LineLegend(self)

        @property
        def active_linemap_indices(self):
            """`set` of `integers <int>`: `set` of all active linemaps by index.

            Numbers are zero-based indices to the linemaps::

                >>> active_indices = plot.active_linemap_indices
                >>> active_lmaps = [plot.linemap(i) for i in active_indices]
            """
            return session.get_style(set, sv.ACTIVELINEMAPS,
                                     uniqueid=self.frame.uid)

        @property
        def show_lines(self):
            """`bool`: Enable lines for this plot.

            Example usage::

                >>> plot.show_lines = True
            """
            return self._get_style(bool, sv.SHOWLINES)

        @show_lines.setter
        def show_lines(self, value):
            self._set_style(bool(value), sv.SHOWLINES)

        @property
        def show_symbols(self):
            """`bool`: Enable symbols at line vertices for this plot.

            Example usage::

                >>> plot.show_symbols = True
            """
            return self._get_style(bool, sv.SHOWSYMBOLS)

        @show_symbols.setter
        def show_symbols(self, value):
            self._set_style(bool(value), sv.SHOWSYMBOLS)

        @property
        def value_blanking(self):
            """`ValueBlanking`: Mask off points by value.

            Example usage::

                >>> plot.value_blanking.constraint(0).comparison_value = 3.14
                >>> plot.value_blanking.constraint(0).active = True
            """
            return blanking.ValueBlanking(self)

        @property
        def base_font(self):
            """`BaseFont`: Default typeface style control.

            Example usage::

                >>> plot.base_font.typeface = 'Times'
            """
            return text.BaseFont(sv.GLOBALLINEPLOT, **self._kw)

        @property
        def data_labels(self):
            """`LinePlotDataLabels`: Node and cell labels.

            This object controls displaying labels for every node and/or cell in
            the dataset. Example usage::

                >>> plot.data_labels.show_node_labels = True
                >>> plot.data_labels.step_index = 10
            """
            return labels.LinePlotDataLabels(self)

        @property
        def linking_within_frame(self):
            """`DataPlotLinkingWithinFrame`: Style linking within the frame.

            Example usage::

                >>> plot.linking_within_frame.link_gridline_style = True
            """
            return linking.DataPlotLinkingWithinFrame(self.frame)

    class XYLinePlot(LinePlot):
        """Cartesian plot with line data and associated style through linemaps.

        .. code-block:: python
            :emphasize-lines: 10-14

            from os import path
            import tecplot as tp
            from tecplot.constant import PlotType, FillMode

            examples_dir = tp.session.tecplot_examples_directory()
            infile = path.join(examples_dir, 'SimpleData', 'SunSpots.plt')
            dataset = tp.data.load_tecplot(infile)

            frame = tp.active_frame()
            plot = frame.plot(PlotType.XYLine)
            plot.activate()
            plot.show_symbols = True
            plot.linemap(0).symbols.fill_mode = FillMode.UseLineColor
            plot.linemap(0).symbols.size = 1

            tp.export.save_png('plot_xyline.png', 600, supersample=3)

        ..  figure:: /_static/images/plot_xyline.png
            :width: 300px
            :figwidth: 300px
        """

        def activate(self):
            """Make this the active plot type on the parent frame.

            Example usage::

                >>> from tecplot.constant import PlotType
                >>> plot = frame.plot(PlotType.XYLine)
                >>> plot.activate()
            """
            self.frame.plot_type = PlotType.XYLine

        def linemaps(self, *keys):
            """`XYLinemapCollection` by index or name.

            Parameters:
                keys (`int`, `str` or `re.Pattern <re.compile>`): Zero-based
                    index, case-insensitive `glob-style pattern string
                    <fnmatch.fnmatch>` or a compiled `regex pattern instance
                    <re.compile>` used to match the linemaps by name. A negative
                    index is interpreted as counting from the end of the available
                    linemaps.

            Example usage, adjusting the line thickness for all lines in the plot::

                >>> plot.linemaps().line.line_thickness = 1.4
            """
            indices = self._linemap_indices(*keys)
            return linemap.XYLinemapCollection(self, *indices)

        def linemap(self, pattern):
            """Returns a specific linemap within this plot.

            Parameters:
                pattern (`int`, `str` or `re.Pattern <re.compile>`): Zero-based
                    index, case-insensitive
                    `glob-style pattern string <fnmatch.fnmatch>` or a compiled
                    `regex pattern instance <re.compile>` used to match the
                    linemaps by name. A negative index is interpreted as counting
                    from the end of the available linemaps.

            Returns:
                `XYLinemap` corresponding to *pattern* or `None` if *pattern* was
                passed in as a `str` or `regex pattern instance <re.compile>` and
                no matching linemap was found.

            .. note::

                Plots can contain linemaps with identical names and only the first
                match found is returned. This is not guaranteed to be deterministic
                and care should be taken to have only linemaps with unique names
                when this feature is used.

            Example usage::

                >>> plot.linemap(0).error_bar.show = True
            """
            try:
                return next(iter(self.linemaps(pattern)))
            except StopIteration:
                pass

        @property
        def active_linemaps(self):
            """`XYLinemapCollection`: Active linemaps in this plot.

            Example usage::

                >>> plot.active_linemaps.show_symbols = True
            """
            indices = self.active_linemap_indices
            return linemap.XYLinemapCollection(self, *indices)

        def add_linemap(self, name=None, zone=None, x=None, y=None, show=True):
            """Add a linemap using the specified zone and variables.

            Parameters:

                name (`str`): Name of the linemap which can be used for
                    retrieving with `XYLinePlot.linemap`. If `None`, then the
                    linemap will not have a name. Default: `None`.
                zone (`Zone <data_access>`): The data to be used when drawing this
                    linemap. If `None`, then |Tecplot Engine| will select a zone.
                    Default: `None`.
                x (`Variable`): The ``x`` variable which must be from the same
                    `Dataset <data.Dataset>` as ``y`` and ``zone``. If `None`, then
                    |Tecplot Engine| will select an x variable. Default: `None`.
                y (`Variable`): The ``y`` variable which must be from the same
                    `Dataset <data.Dataset>` as ``x`` and ``zone``. If `None`, then
                    |Tecplot Engine| will select a ``y`` variable. Default: `None`.
                show (`bool`, optional): Enable this linemap as soon as
                    it's added. (default: `True`). If `None`, then |Tecplot Engine|
                    will determine if the linemap should be enabled.

            Returns:
                `XYLinemap`

            Example usage::

                >>> lmap = plot.add_linemap('Line 1', dataset.zone('Zone'),
                ...                         dataset.variable('X'),
                ...                         dataset.variable('Y'))
                >>> lmap.line.line_thickness = 0.8
            """
            lmap = self._add_linemap(name, zone, show)
            if x is not None:
                lmap.x_variable = x
            if y is not None:
                lmap.y_variable = y
            return lmap

        @property
        def axes(self):
            """`XYLineAxes`: Axes style control for this plot.

            Example usage::

                >>> from tecplot.constant import PlotType, AxisMode
                >>> frame.plot_type = PlotType.XYLine
                >>> axes = frame.plot().axes
                >>> axes.axis_mode = AxisMode.XYDependent
                >>> axes.xy_ratio = 2
            """
            return XYLineAxes(self)

        @property
        def show_bars(self):
            """`bool`: Enable bar chart drawing mode for this plot.

            Example usage::

                >>> plot.show_bars = True
            """
            return self._get_style(bool, sv.SHOWBARCHARTS)

        @show_bars.setter
        def show_bars(self, value):
            self._set_style(bool(value), sv.SHOWBARCHARTS)

        @property
        def show_error_bars(self):
            """`bool`: Enable error bars for this plot.

            The variable to be used for error bars must be set first on at least
            one linemap within this plot::

                >>> plot.linemap(0).error_bars.variable = dataset.variable('E')
                >>> plot.show_error_bars = True
            """
            return self._get_style(bool, sv.SHOWERRORBARS)

        @show_error_bars.setter
        def show_error_bars(self, value):
            self._set_style(bool(value), sv.SHOWERRORBARS)

        @property
        def view(self):
            """`XYLineView`: View control of the plot relative to the frame.

            Example usage::

                >>> plot.view.fit()
            """
            return view.XYLineView(self)

        @property
        def linking_between_frames(self):
            """`XYLinePlotLinkingBetweenFrames`: Style linking between frames.

            Example usage::

                >>> plot.linking_between_frames.group = 1
                >>> plot.linking_between_frames.link_solution_time = True
            """
            return linking.XYLinePlotLinkingBetweenFrames(self.frame)

    class PolarLinePlot(LinePlot):
        """Polar plot with line data and associated style through linemaps.

        .. code-block:: python
            :emphasize-lines: 16-22

            import numpy as np
            import tecplot as tp
            from tecplot.constant import *

            frame = tp.active_frame()

            npoints = 300
            r = np.linspace(0, 2000, npoints)
            theta = np.linspace(0, 10, npoints)

            dataset = frame.create_dataset('Data', ['R', 'Theta'])
            zone = dataset.add_ordered_zone('Zone', (300,))
            zone.values('R')[:] = r
            zone.values('Theta')[:] = theta

            plot = frame.plot(PlotType.PolarLine)
            plot.activate()
            plot.axes.r_axis.max = r.max()
            plot.axes.theta_axis.mode = ThetaMode.Radians
            plot.delete_linemaps()
            lmap = plot.add_linemap('Linemap', zone, dataset.variable('R'),
                                        dataset.variable('Theta'))
            lmap.line.line_thickness = 0.8
            lmap.line.color = Color.Green

            plot.view.fit()

            tp.export.save_png('plot_polar.png', 600, supersample=3)

        ..  figure:: /_static/images/plot_polar.png
            :width: 300px
            :figwidth: 300px
        """

        def activate(self):
            """Make this the active plot type on the parent frame.

            Example usage::

                >>> from tecplot.constant import PlotType
                >>> plot = frame.plot(PlotType.PolarLine)
                >>> plot.activate()
            """
            self.frame.plot_type = PlotType.PolarLine

        @property
        def axes(self):
            """`PolarLineAxes`: Axes style control for this plot.

            Example usage::

                >>> from tecplot.constant import PlotType, ThetaMode
                >>> frame.plot_type = PlotType.PolarLine
                >>> axes = frame.plot().axes
                >>> axes.theta_mode = ThetaMode.Radians
            """
            return PolarLineAxes(self)

        @property
        def view(self):
            """`PolarView`: View control of the plot relative to the frame.

            Example usage::

                >>> plot.view.fit()
            """
            return view.PolarView(self)

        def add_linemap(self, name=None, zone=None, r=None, theta=None, show=True):
            """Add a linemap using the specified zone and variables.

            Parameters:
                name (`str`): Name of the linemap which can be used for
                    retrieving with `PolarLinePlot.linemap`. If `None`, then the
                    linemap will not have a name. Default: `None`.
                zone (`Zone <data_access>`): The data to be used when drawing this
                    linemap. If `None`, then |Tecplot Engine| will select a
                    `Zone <data_access>`.
                    Default: `None`.
                r (`Variable`): The ``r`` variable which must be from the same
                    `Dataset <data.Dataset>` as ``theta`` and ``zone``. If `None`, then
                    |Tecplot Engine| will select a variable. Default: `None`.
                theta (`Variable`): The ``theta`` variable which must be from the
                    same `Dataset <data.Dataset>` as ``r`` and ``zone``. If `None`, then
                    |Tecplot Engine| will select a variable. Default: `None`.
                show (`bool`, optional): Enable this linemap as soon as
                    it's added. (default: `True`)

            Returns:
                `PolarLinemap`

            Example usage::

                >>> lmap = plot.add_linemap('Line 1', dataset.zone('Zone'),
                ...                         dataset.variable('R'),
                ...                         dataset.variable('Theta'))
                >>> lmap.line.line_thickness = 0.8
            """
            lmap = self._add_linemap(name, zone, show)
            if r is not None:
                lmap.r_variable = r
            if theta is not None:
                lmap.theta_variable = theta
            return lmap

        def linemaps(self, *keys):
            """`PolarLinemapCollection` by index or name.

            Parameters:
                keys (`int`, `str` or `re.Pattern <re.compile>`): Zero-based
                    index, case-insensitive `glob-style pattern string
                    <fnmatch.fnmatch>` or a compiled `regex pattern instance
                    <re.compile>` used to match the linemaps by name. A negative
                    index is interpreted as counting from the end of the available
                    linemaps.

            Example usage, adjusting the line thickness for all lines in the plot::

                >>> plot.linemaps().line.line_thickness = 1.4
            """
            indices = self._linemap_indices(*keys)
            return linemap.PolarLinemapCollection(self, *indices)

        def linemap(self, pattern):
            """Returns a specific linemap within this plot.

            Parameters:
                pattern (`int`, `str` or `re.Pattern <re.compile>`): Zero-based
                    index, case-insensitive
                    `glob-style pattern string <fnmatch.fnmatch>` or a compiled
                    `regex pattern instance <re.compile>` used to match the
                    linemaps by name. A negative index is interpreted as counting
                    from the end of the available linemaps.

            Returns:
                `PolarLinemap` corresponding to *pattern* or `None` if *pattern*
                was passed in as a `str` or `regex pattern instance <re.compile>`
                and no matching linemap was found.

            .. note::

                Plots can contain linemaps with identical names and only the first
                match found is returned. This is not guaranteed to be deterministic
                and care should be taken to have only linemaps with unique names
                when this feature is used.

            Example usage::

                >>> plot.linemap(0).error_bar.show = True
            """
            try:
                return next(iter(self.linemaps(pattern)))
            except StopIteration:
                pass

        @property
        def active_linemaps(self):
            """`PolarLinemapCollection`: Active linemaps in this plot.

            Example usage::

                >>> plot.active_linemaps.show_symbols = True
            """
            indices = self.active_linemap_indices
            return linemap.PolarLinemapCollection(self, *indices)

        @property
        def linking_between_frames(self):
            """`PolarPlotLinkingBetweenFrames`: Style linking between frames.

            Example usage::

                >>> plot.linking_between_frames.group = 1
                >>> plot.linking_between_frames.link_solution_time = True
            """
            return linking.PolarPlotLinkingBetweenFrames(self.frame)