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# Source code for tecplot.plot.plot

    from builtins import super, int

    from contextlib import contextmanager
    from fnmatch import fnmatch

    from ..tecutil import _tecutil
    from ..constant import *
    from ..exception import *
    from .. import session
    from ..legend import LineLegend
    from ..tecutil import Index, IndexSet, flatten_args, lock, lock_attributes, sv
    from ..version import sdk_version_info
    from .axes import (Cartesian2DFieldAxes, Cartesian3DFieldAxes, SketchAxes,
                       PolarLineAxes, XYLineAxes)
    from .contour import ContourGroup
    from .fieldmap import Cartesian2DFieldmap, Cartesian3DFieldmap
    from .isosurface import IsosurfaceGroup
    from .linemap import PolarLinemap, XYLinemap
    from .scatter import Scatter
    from .slice import SliceGroup
    from .streamtrace import StreamtraceRodRibbon, Streamtraces
    from .vector import Vector2D, Vector3D
    from .view import Cartesian2DView, Cartesian3DView, LineView, PolarView

    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)

        @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)

        ..  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):
            """Axes (x and y) for the sketch plot.

            :type: `SketchAxes`

            Example usage::

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

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

        .. code-block:: python
            :emphasize-lines: 8-12

            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, '3D', 'jet_surface.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')

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

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

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

            :type: `ContourGroup`

            Example usage::

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

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

            :type: `Streamtraces`

            Example usage::

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

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

            :type: `SliceGroup`

            Example usage::

                >>> slice_0 = frame.plot().slice(0)
                >>> slice_0.mesh.color = Color.Blue
            """
            return SliceGroup(index, self)

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

            :type: `IsosurfaceGroup`

            Example usage::

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

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

            :type: `Scatter`

            Example usage::

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

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

            :type: `bool`

            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):
            """Enable zone edge lines for this plot.

            :type: `bool`

            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):
            """Enable mesh lines for this plot.

            :type: `bool`

            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):
            """Enable scatter symbols for this plot.

            :type: `bool`

            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):
            """Enable surface shading effect for this plot.

            :type: `bool`

            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):
            """Show slices for this plot.

            :type: `boolean <bool>`

            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):
            """Show isosurfaces for this plot.

            :type: `boolean <bool>`

            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):
            """Enable drawing `Streamtraces` on this plot.

            :type: `bool`

            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):
            """Enable drawing of vectors.

            :type: `bool`

            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):
            """Number of all fieldmaps in this plot.

            :type: `integer <int>`

            Example usage::

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

        def fieldmap_index(self, zone):
            """Returns 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` 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 Index(_tecutil.ZoneGetFieldMap(zone.index + 1) - 1)

        @property
        def fieldmaps(self):
            """All fieldmaps in this plot.

            Returns:
                `Cartesian2DFieldmap` or `Cartesian3DFieldmap`

            Example usage::

                >>> for fmap in plot.fieldmaps:
                ...     fmap.mesh.show = True
            """
            for i in range(self.num_fieldmaps):
                yield self.fieldmap(i)

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

            :type: `set`

            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]
                >>> for i in plot.active_fieldmap_indices:
                ...     plot.fieldmap(i).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 active_fieldmaps(self):
            """Active fieldmaps in this plot.

            Returns:
                `Cartesian2DFieldmap` or `Cartesian3DFieldmap`

            Example usage::

                >>> for fmap in plot.active_fieldmaps:
                ...     fmap.vector.show = True
            """
            return [self.fieldmap(i) for i in sorted(self.active_fieldmap_indices)]

        @active_fieldmaps.setter
        def active_fieldmaps(self, values):
            self.active_fieldmap_indices = [getattr(v, 'index', v) for v in values]

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

            :type: `int`

            .. 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.
            """
            if __debug__:
                reqver = (2017, 2)
                if sdk_version_info < reqver:
                    msg = 'Solution time manipulation requires 2017 R2 or later.'
                    raise TecplotOutOfDateEngineError(reqver, msg)
            success, result = _tecutil.SolutionTimeGetNumTimeStepsForFrame(
                self.frame.uid)
            if not success:
                raise TecplotSystemError()
            return result

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

            :type: `list` of `floats <float>`

            .. 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.

            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.
            """
            if __debug__:
                reqver = (2017, 2)
                if sdk_version_info < reqver:
                    msg = 'Solution time manipulation requires 2017 R2 or later.'
                    raise TecplotOutOfDateEngineError(reqver, msg)
            res = _tecutil.SolutionTimeGetSolutionTimesForFrame(self.frame.uid)
            success, ntimes, times = res
            if not success:
                raise TecplotSystemError()
            ret = list(times[:ntimes])
            _tecutil.ArrayDealloc(times)
            return ret

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

            :type: `float`

            .. 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.

            Example usage::

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

            .. versionadded:: 2017.2
                Solution time manipulation requires Tecplot 360 2017 R2 or later.
            """
            if __debug__:
                reqver = (2017, 2)
                if sdk_version_info < reqver:
                    msg = 'Solution time manipulation requires 2017 R2 or later.'
                    raise TecplotOutOfDateEngineError(reqver, msg)
            return _tecutil.SolutionTimeGetCurrentForFrame(self.frame.uid)

        @solution_time.setter
        @lock()
        def solution_time(self, value):
            if __debug__:
                reqver = (2017, 2)
                if sdk_version_info < reqver:
                    msg = 'Solution time manipulation requires 2017 R2 or later.'
                    raise TecplotOutOfDateEngineError(reqver, msg)
            with self.frame.activated():
                res = _tecutil.SolutionTimeSetCurrent(float(value))
                if res not in [SetValueReturnCode.Ok,
                               SetValueReturnCode.DuplicateValue]:
                    raise TecplotSystemError()

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

            :type: `int`

            .. 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.

            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

            .. versionadded:: 2017.2
                Solution time manipulation requires Tecplot 360 2017 R2 or later.
            """
            if __debug__:
                reqver = (2017, 2)
                if sdk_version_info < reqver:
                    msg = 'Solution time manipulation requires 2017 R2 or later.'
                    raise TecplotOutOfDateEngineError(reqver, msg)
            success, result = _tecutil.SolutionTimeGetCurrentTimeStepForFrame(
                self.frame.uid)
            if not success:
                raise TecplotSystemError()
            return result - 1

        @solution_timestep.setter
        def solution_timestep(self, timestep):
            if __debug__:
                reqver = (2017, 2)
                if sdk_version_info < reqver:
                    msg = 'Solution time manipulation requires 2017 R2 or later.'
                    raise TecplotOutOfDateEngineError(reqver, msg)
            success, time = _tecutil.SolutionTimeGetSolutionTimeAtTimeStepForFrame(
                self.frame.uid, int(timestep) + 1)
            if not success:
                raise TecplotSystemError()
            self.solution_time = time

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

        .. code-block:: python
            :emphasize-lines: 10-13,15

            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, '2D', 'intflow.lpk')
            dataset = tp.load_layout(infile)

            frame = tp.active_frame()
            plot = frame.plot(PlotType.Cartesian2D)
            plot.activate()
            plot.show_edge = False
            plot.show_mesh = False

            plot.contour(0).colormap_name = 'Sequential - Yellow/Green/Blue'

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

        ..  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):
            """Axes style control for this plot.

            :type: `Cartesian2DFieldAxes`

            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 `integer <int>`): The
                    `Zone <data_access>` must be in the `Dataset` attached to the
                    assocated frame of this plot.

            Example usage::

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

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

            :type: `Vector2D`

            Example usage::

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

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

            :type: `TwoDDrawOrder`

            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):
            """Axes orientation and limits adjustments.

            :type: `Cartesian2DView`

            Example usage::

                >>> plot.view.fit()
            """
            return Cartesian2DView(self)

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

        .. code-block:: python
            :emphasize-lines: 10-13,15

            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, '3D', '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

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

        ..  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):
            """Axes style control for this plot.

            :type: `Cartesian3DFieldAxes`

            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 `integer <int>`): The `Zone
                    <data_access>` must be in the `Dataset` attached to the
                    assocated frame of this plot.

            Example usage::

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

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

            :type: `Vector3D`

            Example usage::

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

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

            :type: `Cartesian3DView`

            Example usage::

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

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

            :type: `bool`

            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):
            """Enable translucent effect for all objects within this plot.

            :type: `bool`

            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)

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

        .. code-block:: python
            :emphasize-lines: 10-12

            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, 'XY', 'rainfall.plt')
            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)

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

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

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

            Parameters:
                \*linemaps (:ref:`Linemap`, `integer <int>` or `string <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 IndexSet() as indices:
                for lmap in 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):
            """Number of linemaps held by this plot.

            :type: `integer <int>`

            Example usage::

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

        def linemaps(self, pattern=None):
            """Yields linemaps matching the given pattern

            Parameters:
                pattern (`string <str>`, optional): A name pattern to match. If no
                    pattern is given, all linemaps are yielded.

            Returns:
                `XYLinemap` or `PolarLine` objects.

            Example usage::

                >>> for lmap in plot.linemaps():
                ...     lmap.show = True
            """
            with self.frame.activated():
                for i in range(self.num_linemaps):
                    success, name = _tecutil.LineMapGetName(i + 1)
                    if success:
                        if pattern is None or fnmatch(name, pattern):
                            yield self.linemap(i)

        def _linemap_unique_id(self, index):
            with self.frame.activated():
                return _tecutil.LineMapGetUniqueID(index + 1)

        @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)
                linemap.name = name
                linemap.zone = zone
                linemap.show = show
                return linemap

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

            :type: `LineLegend`

            Example usage::

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

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

            :type: `set` of `integers <int>`

            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 active_linemaps(self):
            """Yields all active linemaps.

            Returns:
                `XYLinemap` or `PolarLinemap`

            Example usage::

                >>> from tecplot.constant import Color
                >>> for lmap in plot.active_linemaps:
                ...     lmap.line.color = Color.Blue
            """
            for i in sorted(self.active_linemap_indices):
                yield self.linemap(i)

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

            :type: `boolean <bool>`

            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):
            """Enable symbols at line vertices for this plot.

            :type: `boolean <bool>`

            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)

    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, '2D', 'random.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).line.show = False
            plot.linemap(0).symbols.fill_mode = FillMode.UseLineColor

            # save image to file
            tp.export.save_png('plot_xyline.png', 600)

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

            Parameters:
                pattern (`integer <int>` or `string <str>`): This is either a
                    zero-based index or a glob-like pattern which is matched to the
                    linemap names. If more than one linemap shares the same name,
                    the lowest indexed linemap will be returned.

            Returns:
                `XYLinemap`

            Example usage::

                >>> plot.linemap(0).error_bar.show = True
            """
            if isinstance(pattern, int):
                return XYLinemap(self._linemap_unique_id(pattern), self)
            else:
                try:
                    return next(self.linemaps(pattern))
                except StopIteration:
                    raise TecplotPatternMatchError(
                        pattern,
                        'no linemap found with name: "{}"'.format(pattern),
                        'glob')

        def add_linemap(self, name, zone, x, y, show=True):
            """Add a linemap using the specified zone and variables.

            Parameters:

                name (`string <str>`): Name of the linemap which can be used for
                    retrieving with `XYLinePlot.linemap`.
                zone (`Zone <data_access>`): The data to be used when drawing this
                    linemap.
                x (`Variable`): The ``x`` variable which must be from the same
                    `Dataset` as ``y`` and ``zone``.
                y (`Variable`): The ``y`` variable which must be from the same
                    `Dataset` as ``x`` and ``zone``.
                show (`boolean <bool>`, optional): Enable this linemap as soon as
                    it's added. (default: `True`)

            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)
            lmap.x_variable = x
            lmap.y_variable = y
            return lmap

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

            :type: `XYLineAxes`

            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):
            """Enable bar chart drawing mode for this plot.

            :type: `boolean <bool>`

            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):
            """Enable error bars for this plot.

            :type: `boolean <bool>`

            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):
            """View control of the plot relative to the frame.

            :type: `LineView`

            Example usage::

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

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

        .. code-block:: python
            :emphasize-lines: 16-22,25

            import numpy as np
            import tecplot as tp
            from tecplot.constant import PlotType, ThetaMode

            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

            plot.view.fit()

            tp.export.save_png('plot_polar.png', 600)

        ..  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):
            """Axes style control for this plot.

            :type: `PolarLineAxes`

            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):
            """View control of the plot relative to the frame.

            :type: `PolarView`

            Example usage::

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

        def add_linemap(self, name, zone, r, theta, show=True):
            """Add a linemap using the specified zone and variables.

            Parameters:
                name (`string <str>`): Name of the linemap which can be used for
                    retrieving with `PolarLinePlot.linemap`.
                zone (`Zone <data_access>`): The data to be used when drawing this
                    linemap.
                r (`Variable`): The ``r`` variable which must be from the same
                    `Dataset` as ``theta`` and ``zone``.
                theta (`Variable`): The ``theta`` variable which must be from the
                    same `Dataset` as ``r`` and ``zone``.
                show (`boolean <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)
            lmap.r_variable = r
            lmap.theta_variable = theta
            return lmap

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

            Parameters:
                pattern (`integer <int>` or `string <str>`): This is either a
                    zero-based index or a glob-like pattern which is matched to the
                    linemap names. If more than one linemap shares the same name,
                    the lowest indexed linemap will be returned.

            Returns:
                `PolarLinemap`

            Example usage::

                >>> plot.linemap(0).error_bar.show = True
            """
            if isinstance(pattern, int):
                return PolarLinemap(self._linemap_unique_id(pattern), self)
            else:
                try:
                    return next(self.linemaps(pattern))
                except StopIteration:
                    raise TecplotPatternMatchError(
                        pattern,
                        'no linemap found with name: "{}"'.format(pattern),
                        'glob')

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