From 9b87230fcc1e0471809c3bb4c4ffd73954838067 Mon Sep 17 00:00:00 2001 From: Raphael Quast Date: Wed, 20 Mar 2024 12:20:09 +0100 Subject: [PATCH 01/27] fix capture scroll events in Jupyter Notebooks if LayoutEditor is active --- eomaps/layout_editor.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/eomaps/layout_editor.py b/eomaps/layout_editor.py index a77cfc413..e4d694fd0 100644 --- a/eomaps/layout_editor.py +++ b/eomaps/layout_editor.py @@ -604,6 +604,10 @@ def _make_draggable(self, filepath=None): except AttributeError: pass + # capture scroll events in ipympl backend (e.g. Jupyter Notebooks) + self._init_capture_scroll = self.m.f.canvas.capture_scroll + self.m.f.canvas.capture_scroll = True + self._filepath = filepath self.modifier_pressed = True _log.info( @@ -723,6 +727,10 @@ def _undo_draggable(self): self._history.clear() self._history_undone.clear() + # Reset capturing scroll events to the value before activating the editor + # (only relevant for ipympl backend... e.g. Jupyter Notebooks) + self.m.f.canvas.capture_scroll = getattr(self, "_init_capture_scroll", False) + toolbar = getattr(self.m.f, "toolbar", None) if toolbar is not None: # Reset the axes stack to make sure the "home" "back" and "forward" buttons From 75064203c1cc8b1f1bf4568b3ad028af6a5d41d3 Mon Sep 17 00:00:00 2001 From: Raphael Quast Date: Wed, 20 Mar 2024 12:20:55 +0100 Subject: [PATCH 02/27] set version to v8.0.3 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 05f274f19..9d2735852 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ eomaps = ["logo.png", "NE_features.json", "qtcompanion/icons/*"] [project] name = "eomaps" -version = "8.0.2" +version = "8.0.3" description = "A library to create interactive maps of geographical datasets." readme = "README.md" license = {file = "LICENSE"} From e927fbb095aadeb63210ab3d7644d3673eca1f9f Mon Sep 17 00:00:00 2001 From: Raphael Quast Date: Wed, 20 Mar 2024 12:35:40 +0100 Subject: [PATCH 03/27] avoid issues if capture_scroll is undefined --- eomaps/layout_editor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/eomaps/layout_editor.py b/eomaps/layout_editor.py index e4d694fd0..b35ceac7a 100644 --- a/eomaps/layout_editor.py +++ b/eomaps/layout_editor.py @@ -605,7 +605,7 @@ def _make_draggable(self, filepath=None): pass # capture scroll events in ipympl backend (e.g. Jupyter Notebooks) - self._init_capture_scroll = self.m.f.canvas.capture_scroll + self._init_capture_scroll = getattr(self.m.f.canvas, "capture_scroll", False) self.m.f.canvas.capture_scroll = True self._filepath = filepath From bb55d01bc023091b14a37b560a20c0c1e65de1e4 Mon Sep 17 00:00:00 2001 From: Raphael Date: Tue, 2 Apr 2024 18:45:54 +0200 Subject: [PATCH 04/27] fix clipping issue with `m.get_extent` (crs bounds are given in the units of the crs) --- eomaps/eomaps.py | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/eomaps/eomaps.py b/eomaps/eomaps.py index a8170ac52..d458956b2 100644 --- a/eomaps/eomaps.py +++ b/eomaps/eomaps.py @@ -2801,11 +2801,21 @@ def get_extent(self, crs=None): extent : The extent in the given crs (x0, x1, y0, y1). """ - bnds = self._crs_boundary_bounds # fast track if plot-crs is requested if crs == self.crs_plot: x0, x1, y0, y1 = (*self.ax.get_xlim(), *self.ax.get_ylim()) + + bnds = self._crs_boundary_bounds + # clip the map-extent with respect to the boundary bounds + # (to avoid returning values outside the crs bounds) + try: + x0, x1 = np.clip([x0, x1], bnds[0], bnds[2]) + y0, y1 = np.clip([y0, y1], bnds[1], bnds[3]) + except Exception: + _log.debug( + "EOmaps: Error while trying to clip map extent", exc_info=True + ) else: if crs is not None: crs = self._get_cartopy_crs(crs) @@ -2814,14 +2824,6 @@ def get_extent(self, crs=None): x0, x1, y0, y1 = self.ax.get_extent(crs=crs) - # clip the map-extent with respect to the boundary bounds - # (to avoid returning values outside the crs bounds) - try: - x0, x1 = np.clip([x0, x1], bnds[0], bnds[2]) - y0, y1 = np.clip([y0, y1], bnds[1], bnds[3]) - except Exception: - _log.debug("EOmaps: Error while trying to clip map extent", exc_info=True) - return x0, x1, y0, y1 def _calc_vmin_vmax(self, vmin=None, vmax=None): From 98eaa824588519dabe3a44812553b6687e70a051 Mon Sep 17 00:00:00 2001 From: Raphael Date: Tue, 2 Apr 2024 19:34:18 +0200 Subject: [PATCH 05/27] fix inset-map indicator line placement with multiple intersection points --- eomaps/inset_maps.py | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/eomaps/inset_maps.py b/eomaps/inset_maps.py index 4fb014c9a..8c1e073e3 100644 --- a/eomaps/inset_maps.py +++ b/eomaps/inset_maps.py @@ -348,18 +348,24 @@ def _update_indicator_lines(self, *args, **kwargs): p_map = verts_t.mean(axis=0) p_inset = verts.mean(axis=0) - # find intersection points of lines connecting the centers + # find the first intersection point of lines connecting the centers # 1) with the inset-map boundary - q = _intersect(p_map, p_inset, verts[:-1], verts[1:]) - if q.any(): - x0, y0 = _get_intersect(p_map, p_inset, verts[:-1][q], verts[1:][q]) + q = np.nonzero(_intersect(p_map, p_inset, verts[:-1], verts[1:]))[0] + + if len(q) > 0: + x0, y0 = _get_intersect( + p_map, p_inset, verts[:-1][q[0]], verts[1:][q[0]] + ) else: x0, y0 = p_inset # 2) with the inset-map indicator on the map - q = _intersect(p_map, p_inset, verts_t[:-1], verts_t[1:]) - if q.any(): - x1, y1 = _get_intersect(p_map, p_inset, verts_t[:-1][q], verts_t[1:][q]) + q = np.nonzero(_intersect(p_map, p_inset, verts_t[:-1], verts_t[1:]))[0] + if len(q) > 0: + x1, y1 = _get_intersect( + p_map, p_inset, verts_t[:-1][q[0]], verts_t[1:][q[0]] + ) + # update indicator line vertices l.set_xdata([x0, x1]) l.set_ydata([y0, y1]) From 46ca441f102bbb397bb5b068cadfbbaa40d01360 Mon Sep 17 00:00:00 2001 From: Raphael Date: Tue, 2 Apr 2024 19:54:38 +0200 Subject: [PATCH 06/27] fix using `m.add_gridlines` with uneven number of explicit lon/lat values --- eomaps/grid.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/eomaps/grid.py b/eomaps/grid.py index 5ced8cce6..6cc1ea3cb 100644 --- a/eomaps/grid.py +++ b/eomaps/grid.py @@ -236,9 +236,8 @@ def _calc_lines(d, bounds, n=100): elif isinstance(d, (int, float, np.number)): dlon = dlat = d elif isinstance(d, (list, np.ndarray)): - d = np.asanyarray(d) - if len(d.shape) == 2: - lons, lats = np.asanyarray(d) + if len(d) == 2: + lons, lats = np.asanyarray(d[0]), np.asanyarray(d[1]) else: lons = lats = np.asanyarray(d) else: From ad0f24808e2fb50431985b93a46e0991990087c4 Mon Sep 17 00:00:00 2001 From: Raphael Date: Wed, 3 Apr 2024 11:18:15 +0200 Subject: [PATCH 07/27] set on_motion to True for overlay example --- docs/examples/example_overlays.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/examples/example_overlays.py b/docs/examples/example_overlays.py index 130415c47..c24bad766 100644 --- a/docs/examples/example_overlays.py +++ b/docs/examples/example_overlays.py @@ -57,7 +57,7 @@ def callback(m, **kwargs): # attach the callback (to update the dataset plotted on the Maps object "m3") -m.cb.click.attach(callback, m=m3) +m.cb.click.attach(callback, m=m3, on_motion=True) # --------- add some basic overlays from NaturalEarth m.add_feature.preset.coastline() From 3422d33a8eb431995a25e5ec2f83b7d12006a1df Mon Sep 17 00:00:00 2001 From: Raphael Date: Wed, 3 Apr 2024 11:19:07 +0200 Subject: [PATCH 08/27] better treatment for "on_motion" kwarg of click callbacks --- eomaps/cb_container.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/eomaps/cb_container.py b/eomaps/cb_container.py index 5cb938948..0429331f1 100644 --- a/eomaps/cb_container.py +++ b/eomaps/cb_container.py @@ -750,6 +750,7 @@ def _add_callback( double_click=False, button=None, modifier=None, + on_motion=None, **kwargs, ): """ @@ -808,14 +809,16 @@ def _add_callback( - If None, the callback is executed if no modifier is activated. The default is None. - on_motion : bool + on_motion : bool or None, optional !! Only relevant for "click" callbacks !! - True: Continuously execute the callback if the mouse is moved while the assigned button is pressed. - False: Only execute the callback on clicks. + - None: use True for default callbacks that support on_motion and False + for all other callbacks (incl. custom callbacks) - The default is True. + The default is None. **kwargs : kwargs passed to the callback-function For documentation of the individual functions check the docs in `m.cb` @@ -841,8 +844,6 @@ def _add_callback( # attach "on_move" callbacks movecb_name = None - on_motion = kwargs.pop("on_motion", None) - # set on_motion=True as default for "click" callbacks that # are also supported as move callbacks and False otherwise if self._method == "click" and on_motion is None: From b6318d8ab3a1547d70e33ebbaf673d3d86cea38a Mon Sep 17 00:00:00 2001 From: Raphael Date: Wed, 3 Apr 2024 11:23:00 +0200 Subject: [PATCH 09/27] unify treatment of "ellipses" and "geod_circle" shape - use "wraparound" for both shapes - make shape base-classes top-level classes - rename "get_< geod_cirlce / ellipse >_points" to "get_points" --- eomaps/callbacks.py | 4 +- eomaps/draw.py | 4 +- eomaps/inset_maps.py | 5 +- eomaps/shapes.py | 539 +++++++++++++++++++------------------------ 4 files changed, 248 insertions(+), 304 deletions(-) diff --git a/eomaps/callbacks.py b/eomaps/callbacks.py index 997ad5b44..9039a2dbf 100644 --- a/eomaps/callbacks.py +++ b/eomaps/callbacks.py @@ -989,7 +989,7 @@ def _get_clip_path(self, x, y, xy_crs, radius, radius_crs, shape, n=100): shp = self.m.set_shape._get(shape) if shape == "ellipses": - shp_pts = shp._get_ellipse_points( + shp_pts = shp._get_points( x=np.atleast_1d(x), y=np.atleast_1d(y), crs=xy_crs, @@ -1011,7 +1011,7 @@ def _get_clip_path(self, x, y, xy_crs, radius, radius_crs, shape, n=100): bnd_verts = shp_pts[0][0] elif shape == "geod_circles": - shp_pts = shp._get_geod_circle_points( + shp_pts = shp._get_points( x=np.atleast_1d(x), y=np.atleast_1d(y), crs=xy_crs, diff --git a/eomaps/draw.py b/eomaps/draw.py index 911a95b22..6465b92f7 100644 --- a/eomaps/draw.py +++ b/eomaps/draw.py @@ -700,7 +700,7 @@ def movecb(event, pts): r = np.sqrt((x - pts[0][0]) ** 2 + (y - pts[0][1]) ** 2) - pts = Shapes._Ellipses(self._m)._get_ellipse_points( + pts = Shapes._Ellipses(self._m)._get_points( np.array([pts[0][0]]), np.array([pts[0][1]]), "out", @@ -737,7 +737,7 @@ def _circle(self, **kwargs): pts = np.asarray(pts) r = np.sqrt(sum((pts[1] - pts[0]) ** 2)) - pts = Shapes._Ellipses(self._m)._get_ellipse_points( + pts = Shapes._Ellipses(self._m)._get_points( np.array([pts[0][0]]), np.array([pts[0][1]]), "out", [r, r], "out", 100 ) diff --git a/eomaps/inset_maps.py b/eomaps/inset_maps.py index 8c1e073e3..9eaacdcc8 100644 --- a/eomaps/inset_maps.py +++ b/eomaps/inset_maps.py @@ -431,7 +431,7 @@ def _get_inset_boundary(self, x, y, xy_crs, radius, radius_crs, shape, n=100): shp = self.set_shape._get(shape) if shape == "ellipses": - shp_pts = shp._get_ellipse_points( + shp_pts = shp._get_points( x=np.atleast_1d(x), y=np.atleast_1d(y), crs=xy_crs, @@ -456,12 +456,11 @@ def _get_inset_boundary(self, x, y, xy_crs, radius, radius_crs, shape, n=100): bnd_verts = shp_pts[0][0] elif shape == "geod_circles": - shp_pts = shp._get_geod_circle_points( + shp_pts = shp._get_points( x=np.atleast_1d(x), y=np.atleast_1d(y), crs=xy_crs, radius=radius, - # radius_crs=radius_crs, n=n, ) bnd_verts = np.stack(shp_pts[:2], axis=2).squeeze() diff --git a/eomaps/shapes.py b/eomaps/shapes.py index b3f3da9b0..fe161fc7b 100644 --- a/eomaps/shapes.py +++ b/eomaps/shapes.py @@ -21,6 +21,235 @@ _log = logging.getLogger(__name__) +# a base class for shapes that support setting the number of intermediate points +class _ShapeBase: + name = "none" + + def __init__(self, m): + self._m = m + self._n = None + + self._select_radius = True + + def _get_auto_n(self): + s = self._m._data_manager._get_current_datasize() + + if self.name == "rectangles": + # mesh currently only supports n=1 + if self.mesh is True: + return 1 + + # if plot crs is same as input-crs there is no need for + # intermediate points since the rectangles are not curved! + if self._m._crs_plot == self._m.data_specs.crs: + return 1 + + if s < 10: + n = 100 + elif s < 100: + n = 75 + elif s < 1000: + n = 50 + elif s < 10000: + n = 20 + else: + n = 12 + + return n + + @property + def n(self): + if self._n is None: + return self._get_auto_n() + else: + return self._n + + @n.setter + def n(self, val): + if self.name == "rectangles" and self.mesh is True: + if val is not None and val != 1: + _log.info("EOmaps: rectangles with 'mesh=True' only support n=1") + self._n = 1 + else: + self._n = val + + @property + def _selected_radius(self): + # option to override radius-selection in case the shape is used + # to create markers (e.g. call is independent of plot-extent) + if self._select_radius is False: + return self.radius + + # if radius was provided as a array (for individual shape radius) + # select values according to the dat-manager query to get values + # of visible points + + # if no data is assigned, just return the radius + if not self._m._data_manager._current_data: + return self.radius + + # check if multiple individual x-y radius was provided + q1 = isinstance(self.radius, tuple) and isinstance(self.radius[0], np.ndarray) + # chedk if multiple radius values were provided + q2 = isinstance(self.radius, np.ndarray) + + if q1 or q2: + mask = self._m._data_manager._get_q()[0] + + # quick exit if full data is in extent + if mask is True: + return self.radius + + if q1: + radius = (self.radius[0][mask], self.radius[1][mask]) + elif q2: + radius = self.radius[mask] + else: + radius = self.radius + + return radius + + def _wraparound(self, x, y, xs, ys, crs): + # ------------------------- implement some kind of "wraparound" + if self._m._crs_plot in ( + self._m.CRS.Orthographic(), + self._m.CRS.Geostationary(), + self._m.CRS.NearsidePerspective(), + ): + # avoid masking in those crs + mask = np.full(xs.shape[0], True) + else: + + # check if any points are in different halfspaces with respect to x + # and if so, mask the ones in the wrong halfspace + # (required for proper longitude wrapping) + # TODO this might be a lot easier (and faster) to implement! + + xc = 0 # the center-point (e.g. (-180 + 180)/2 = 0 ) + + def getQ(x, xc): + quadrants = np.full_like(x, -1) + + quadrant = x < xc + quadrants[quadrant] = 0 + quadrant = x > xc + quadrants[quadrant] = 1 + + return quadrants + + t_in_lonlat = self._m._get_transformer(crs, 4326) + t_plot_lonlat = self._m._get_transformer(self._m.crs_plot, 4326) + + # transform the coordinates to lon/lat + xp, _ = t_in_lonlat.transform(x, y) + xsp, _ = t_plot_lonlat.transform(xs, ys) + + quadrants, pts_quadrants = getQ(xp, xc), getQ(xsp, xc) + + # mask any point that is in a different quadrant than the center point + maskx = pts_quadrants != quadrants[:, np.newaxis] + # take care of points that are on the center line (e.g. don't mask them) + # (use a +- 25 degree around 0 as threshold) + cpoints = np.broadcast_to( + np.isclose(xp, xc, atol=25)[:, np.newaxis], xs.shape + ) + + maskx[cpoints] = False + xs.mask[maskx] = True + ys.mask = xs.mask + + # mask any datapoint that has less than 3 of the ellipse-points unmasked + mask = np.count_nonzero(~xs.mask, axis=1) >= 3 + + return xs, ys, mask + + +class _CircularShapeBase(_ShapeBase): + name = "circular_shape_base" + + def __init__(self, m): + super().__init__(m=m) + + def __call__(self, radius=None, n=None, radius_crs=None): + if radius is None: + raise TypeError( + f"EOmaps: If 'm.set_shape.{self.name}(...)' is used, " + "you must provide a radius!" + ) + + from . import MapsGrid # do this here to avoid circular imports! + + for m in self._m if isinstance(self._m, MapsGrid) else [self._m]: + shape = self.__class__(m) + shape.radius = radius + shape.radius_crs = radius_crs + shape.n = n + + m._shape = shape + + @property + def _initargs(self): + return dict(radius=self._radius, radius_crs=self.radius_crs, n=self._n) + + @property + def radius(self): + return self._radius + + @radius.setter + def radius(self, val): + # string is required to accept "estimate" as radius + # tuple is required to provide (rx, ry) explicitly + if isinstance(val, (int, float, str, tuple, np.number)): + self._radius = val + else: + self._radius = np.asanyarray(np.atleast_1d(val)).ravel() + + def __repr__(self): + try: + s = f"{self.name}(radius={self.radius}, n={self.n})" + except AttributeError: + s = f"{self.name}(radius, n)" + except Exception: + s = object.__repr__(self) + + return s + + def _get_points(self, x, y, crs, radius, n=20): + raise NotImplementedError("get_points is not implemented") + xs, ys, mask = [], [], [] + return xs, ys, mask + + def get_coll(self, x, y, crs, **kwargs): + xs, ys, mask = self._get_points( + x=x, + y=y, + crs=crs, + radius=self._selected_radius, + radius_crs=self.radius_crs, + n=self.n, + ) + # compress the coordinates (masked arrays produce artefacts on the boundary + # in case intermediate points are masked) + verts = ( + np.column_stack((x.compressed(), y.compressed())) + for i, (x, y) in enumerate(zip(xs, ys)) + if mask[i] + ) + # remember masked points + self._m._data_mask = mask + + color_and_array = Shapes._get_colors_and_array(kwargs, mask) + + coll = PolyCollection( + verts, + # transOffset=self._m.ax.transData, + **color_and_array, + **kwargs, + ) + + return coll + + class _CollectionAccessor: """ Accessor class to handle contours drawn by plt.contour. @@ -177,6 +406,7 @@ def __init__(self, m): self._radius_estimation_range = 100000 def _get(self, shape, **kwargs): + kwargs.setdefault("radius_crs", None) # get the name of the class for a given shape # (CamelCase without underscores) shapeclass_name = "_" + "".join(i.capitalize() for i in shape.split("_")) @@ -361,97 +591,7 @@ def _get_colors_and_array(kwargs, mask): color_vals["array"] = None return color_vals - # a base class for shapes that support setting the number of intermediate points - class _ShapeBase: - name = "none" - - def __init__(self, m): - self._m = m - self._n = None - - self._select_radius = True - - def _get_auto_n(self): - s = self._m._data_manager._get_current_datasize() - - if self.name == "rectangles": - # mesh currently only supports n=1 - if self.mesh is True: - return 1 - - # if plot crs is same as input-crs there is no need for - # intermediate points since the rectangles are not curved! - if self._m._crs_plot == self._m.data_specs.crs: - return 1 - - if s < 10: - n = 100 - elif s < 100: - n = 75 - elif s < 1000: - n = 50 - elif s < 10000: - n = 20 - else: - n = 12 - - return n - - @property - def n(self): - if self._n is None: - return self._get_auto_n() - else: - return self._n - - @n.setter - def n(self, val): - if self.name == "rectangles" and self.mesh is True: - if val is not None and val != 1: - _log.info("EOmaps: rectangles with 'mesh=True' only support n=1") - self._n = 1 - else: - self._n = val - - @property - def _selected_radius(self): - # option to override radius-selection in case the shape is used - # to create markers (e.g. call is independent of plot-extent) - if self._select_radius is False: - return self.radius - - # if radius was provided as a array (for individual shape radius) - # select values according to the dat-manager query to get values - # of visible points - - # if no data is assigned, just return the radius - if not self._m._data_manager._current_data: - return self.radius - - # check if multiple individual x-y radius was provided - q1 = isinstance(self.radius, tuple) and isinstance( - self.radius[0], np.ndarray - ) - # chedk if multiple radius values were provided - q2 = isinstance(self.radius, np.ndarray) - - if q1 or q2: - mask = self._m._data_manager._get_q()[0] - - # quick exit if full data is in extent - if mask is True: - return self.radius - - if q1: - radius = (self.radius[0][mask], self.radius[1][mask]) - elif q2: - radius = self.radius[mask] - else: - radius = self.radius - - return radius - - class _GeodCircles(_ShapeBase): + class _GeodCircles(_CircularShapeBase): name = "geod_circles" def __init__(self, m): @@ -479,46 +619,7 @@ def __call__(self, radius=None, n=None): The class representing the plot-shape. """ - if radius is None: - raise TypeError( - "EOmaps: If 'm.set_shape.geod_circles(...)' is used, " - "you must provide a radius!" - ) - - from . import MapsGrid # do this here to avoid circular imports! - - for m in self._m if isinstance(self._m, MapsGrid) else [self._m]: - shape = self.__class__(m) - shape.radius = radius - shape.n = n - - m._shape = shape - - @property - def _initargs(self): - return dict(radius=self._radius, n=self._n) - - @property - def radius(self): - return self._radius - - @radius.setter - def radius(self, val): - if isinstance(val, (int, float, np.number)): - self._radius = val - else: - self._radius = np.asanyarray(np.atleast_1d(val)) - - @property - def radius_crs(self): - return "geod" - - def __repr__(self): - try: - s = f"geod_circles(radius={self.radius}, n={self.n})" - except AttributeError: - s = "geod_circles(radius, n)" - return s + super().__call__(radius=radius, n=n, radius_crs="geod") def _calc_geod_circle_points(self, lon, lat, radius, n=20, start_angle=0): """ @@ -567,14 +668,15 @@ def _calc_geod_circle_points(self, lon, lat, radius, n=20, start_angle=0): radians=False, ) - return lons.T, lats.T + return lons, lats - def _get_geod_circle_points(self, x, y, crs, radius, n=20): + def _get_points(self, x, y, crs, radius, radius_crs="geod", n=20): + crs = self._m.get_crs(crs) x, y = np.asarray(x), np.asarray(y) # transform from in-crs to lon/lat radius_t = self._m._get_transformer( - self._m.get_crs(crs), + crs, self._m.CRS.PlateCarree(globe=self._m.crs_plot.globe), ) # transform from lon/lat to the plot_crs @@ -589,60 +691,11 @@ def _get_geod_circle_points(self, x, y, crs, radius, n=20): xs, ys = np.ma.masked_invalid(plot_t.transform(lons, lats), copy=False) - if self._m._crs_plot in ( - self._m.CRS.Orthographic(), - self._m.CRS.Geostationary(), - self._m.CRS.NearsidePerspective(), - ): - mask = np.full(lons.shape, True) - else: - # get the mask for invalid, very distorted or very large shapes - dx = xs.max(axis=0) - xs.min(axis=0) - dy = ys.max(axis=0) - ys.min(axis=0) - mask = ( - ~xs.mask.any(axis=0) - & ~ys.mask.any(axis=0) - & ((dx / dy) < 10) - & (dx < np.max(radius) * 50) - & (dy < np.max(radius) * 50) - ) - - mask = np.broadcast_to(mask[:, None].T, lons.shape) + xs, ys, mask = self._wraparound(x, y, xs, ys, crs) return xs, ys, mask - def get_coll(self, x, y, crs, **kwargs): - xs, ys, mask = self._get_geod_circle_points( - x, y, crs, self._selected_radius, self.n - ) - - # only plot polygons if they contain 2 or more vertices - vertmask = np.count_nonzero(mask, axis=0) > 2 - - # remember masked points - self._m._data_mask = vertmask - - verts = np.stack((xs, ys)).T - verts = np.ma.masked_array( - verts, - np.broadcast_to(~mask[:, None].T.swapaxes(1, 2), verts.shape), - ) - verts = list( - i.compressed().reshape(-1, 2) for i, m in zip(verts, vertmask) if m - ) - - color_and_array = Shapes._get_colors_and_array(kwargs, vertmask) - - coll = PolyCollection( - verts, - # transOffset=self._m.ax.transData, - **color_and_array, - **kwargs, - ) - - return coll - - class _Ellipses(_ShapeBase): + class _Ellipses(_CircularShapeBase): name = "ellipses" def __init__(self, m): @@ -669,43 +722,13 @@ def __call__(self, radius="estimate", radius_crs="in", n=None): If None, 100 is used for < 10k pixels and 20 otherwise. The default is None. """ - from . import MapsGrid # do this here to avoid circular imports! - - for m in self._m if isinstance(self._m, MapsGrid) else [self._m]: - shape = self.__class__(m) + super().__call__(radius=radius, n=n, radius_crs=radius_crs) - shape._radius = radius - shape.radius_crs = radius_crs - shape.n = n - - m._shape = shape - - @property - def _initargs(self): - return dict(radius=self._radius, radius_crs=self.radius_crs, n=self._n) - - @property + @_CircularShapeBase.radius.getter def radius(self): radius = Shapes._get_radius(self._m, self._radius, self.radius_crs) return radius - @radius.setter - def radius(self, val): - if isinstance(val, (list, np.ndarray)): - self._radius = np.asanyarray(val).ravel() - else: - self._radius = val - - def __repr__(self): - try: - try: - s = f"ellipses(radius={self.radius}, radius_crs={self.radius_crs}, n={self.n})" - except AttributeError: - s = "ellipses(radius, radius_crs, n)" - return s - except: - return object.__repr__(self) - def _calc_ellipse_points(self, x0, y0, a, b, theta, n, start_angle=0): """ Calculate points on a rotated ellipse. @@ -749,7 +772,7 @@ def _calc_ellipse_points(self, x0, y0, a, b, theta, n, start_angle=0): ) return (xs, ys) - def _get_ellipse_points(self, x, y, crs, radius, radius_crs="in", n=20): + def _get_points(self, x, y, crs, radius, radius_crs="in", n=20): crs = self._m.get_crs(crs) radius_crs = self._m.get_crs(radius_crs) # transform from crs to the plot_crs @@ -767,7 +790,6 @@ def _get_ellipse_points(self, x, y, crs, radius, radius_crs="in", n=20): # transform corner-points if radius_crs == crs: p = (x, y) - theta = np.full_like(x, 0) xs, ys = self._calc_ellipse_points( p[0], p[1], @@ -780,7 +802,6 @@ def _get_ellipse_points(self, x, y, crs, radius, radius_crs="in", n=20): xs, ys = np.ma.masked_invalid(t_in_plot.transform(xs, ys), copy=False) else: p = t_in_radius.transform(x, y) - theta = np.full_like(x, 0) xs, ys = self._calc_ellipse_points( p[0], p[1], @@ -795,86 +816,10 @@ def _get_ellipse_points(self, x, y, crs, radius, radius_crs="in", n=20): t_radius_plot.transform(xs, ys), copy=False ) - # ------------------------- implement some kind of "wraparound" - if self._m._crs_plot in ( - self._m.CRS.Orthographic(), - self._m.CRS.Geostationary(), - self._m.CRS.NearsidePerspective(), - ): - # avoid masking in those crs - mask = np.full(xs.shape[0], True) - else: - - # check if any points are in different halfspaces with respect to x - # and if so, mask the ones in the wrong halfspace - # (required for proper longitude wrapping) - # TODO this might be a lot easier (and faster) to implement! - - xc = 0 # the center-point (e.g. (-180 + 180)/2 = 0 ) - - def getQ(x, xc): - quadrants = np.full_like(x, -1) - - quadrant = x < xc - quadrants[quadrant] = 0 - quadrant = x > xc - quadrants[quadrant] = 1 - - return quadrants - - t_in_lonlat = self._m._get_transformer(crs, 4326) - t_plot_lonlat = self._m._get_transformer(self._m.crs_plot, 4326) - - # transform the coordinates to lon/lat - xp, _ = t_in_lonlat.transform(x, y) - xsp, _ = t_plot_lonlat.transform(xs, ys) - - quadrants, pts_quadrants = getQ(xp, xc), getQ(xsp, xc) - - # mask any point that is in a different quadrant than the center point - maskx = pts_quadrants != quadrants[:, np.newaxis] - # take care of points that are on the center line (e.g. don't mask them) - # (use a +- 25 degree around 0 as threshold) - cpoints = np.broadcast_to( - np.isclose(xp, xc, atol=25)[:, np.newaxis], xs.shape - ) - - maskx[cpoints] = False - xs.mask[maskx] = True - ys.mask = xs.mask + xs, ys, mask = self._wraparound(x, y, xs, ys, crs) - # mask any datapoint that has less than 4 of the ellipse-points unmasked - mask = ~( - n - np.count_nonzero(xs.mask, axis=1) <= min(n / 2, 4) - ) & np.isfinite(theta) return xs, ys, mask - def get_coll(self, x, y, crs, **kwargs): - xs, ys, mask = self._get_ellipse_points( - x, y, crs, self._selected_radius, self.radius_crs, n=self.n - ) - - # compress the coordinates (masked arrays produce artefacts on the boundary - # in case intermediate points are masked) - verts = ( - np.column_stack((x.compressed(), y.compressed())) - for i, (x, y) in enumerate(zip(xs, ys)) - if mask[i] - ) - # remember masked points - self._m._data_mask = mask - - color_and_array = Shapes._get_colors_and_array(kwargs, mask) - - coll = PolyCollection( - verts, - # transOffset=self._m.ax.transData, - **color_and_array, - **kwargs, - ) - - return coll - class _Rectangles(_ShapeBase): name = "rectangles" From e3b4a949f5cd8336f734781a1110cd8d1aeabb0d Mon Sep 17 00:00:00 2001 From: Raphael Date: Tue, 26 Mar 2024 15:42:12 +0100 Subject: [PATCH 10/27] add new hexbin shape --- eomaps/shapes.py | 77 +++++++++++++++++++++++++++++++++++ tests/test_basic_functions.py | 13 ++++++ 2 files changed, 90 insertions(+) diff --git a/eomaps/shapes.py b/eomaps/shapes.py index fe161fc7b..1836f9c7c 100644 --- a/eomaps/shapes.py +++ b/eomaps/shapes.py @@ -1080,6 +1080,78 @@ def get_coll(self, x, y, crs, **kwargs): else: return self._get_polygon_coll(x, y, crs, **kwargs) + class _Hexbin(object): + name = "hexbin" + + def __init__(self, m): + self._m = m + + def __call__(self, size=100, aggregator="mean"): + """ + Draw a 2D hexagonal binning plot of the data. + + All arguments are forwarded to `matplotlib.pyplot.hexbin()`. + + Parameters + ---------- + size : int, or (int, int), optional + If int, the number of hexagons in x-direction. + If a tuple of int is provided, the number of hexagons + in x- and y-direction + + See matplotlib.pyplot.hexbin for more information about marker styles. + aggregator: str or callable + The function used to aggregate the data-values. + If a string is provided, it is identified as the associated numpy + function. The default is "mean". + """ + from . import MapsGrid # do this here to avoid circular imports! + + for m in self._m if isinstance(self._m, MapsGrid) else [self._m]: + shape = self.__class__(m) + shape._size = size + shape._aggregator = aggregator + m._shape = shape + + @property + def _initargs(self): + return dict(size=self._size, aggregator=self._aggregator) + + @property + def radius(self): + radius = Shapes._get_radius(self._m, "estimate", "in") + return radius + + @property + def radius_crs(self): + return "in" + + def get_coll(self, x, y, crs, **kwargs): + color_and_array = Shapes._get_colors_and_array(kwargs, None) + + if isinstance(self._aggregator, str): + reduce_C_function = getattr(np, self._aggregator) + else: + reduce_C_function = self._aggregator + + color_and_array["C"] = color_and_array.pop("array", None) + + if "extent" not in kwargs: + dm = self._m._data_manager + + extent = (dm._x0min, dm._x0max, dm._y0min, dm._y0max) + + coll = self._m.ax.hexbin( + x, + y, + gridsize=self._size, + reduce_C_function=reduce_C_function, + extent=kwargs.get("extent", extent), + **color_and_array, + **kwargs, + ) + return coll + class _ScatterPoints(object): name = "scatter_points" @@ -2205,6 +2277,11 @@ def scatter_points(self, *args, **kwargs): shp = self._ScatterPoints(m=self._m) return shp.__call__(*args, **kwargs) + @wraps(_Hexbin.__call__) + def hexbin(self, *args, **kwargs): + shp = self._Hexbin(m=self._m) + return shp.__call__(*args, **kwargs) + @wraps(_GeodCircles.__call__) def geod_circles(self, *args, **kwargs): shp = self._GeodCircles(m=self._m) diff --git a/tests/test_basic_functions.py b/tests/test_basic_functions.py index c6419d3d9..4c27ec32f 100644 --- a/tests/test_basic_functions.py +++ b/tests/test_basic_functions.py @@ -214,6 +214,19 @@ def test_simple_plot_shapes(self): plt.close("all") + # hexbin + m = Maps(4326) + m.set_data(usedata, x="x", y="y", crs=3857) + m.set_shape.hexbin() + m.plot_map() + + m2 = m.new_layer() + m2.inherit_data(m) + m.set_shape.hexbin(size=(50, 25), aggregator=np.median) + m2.plot_map() + + plt.close("all") + def test_cpos(self): m = Maps(4326) From be1bf0264eae555c8c5cb23252bd8183a13cc9c0 Mon Sep 17 00:00:00 2001 From: Raphael Date: Tue, 26 Mar 2024 16:01:40 +0100 Subject: [PATCH 11/27] minor --- tests/test_basic_functions.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_basic_functions.py b/tests/test_basic_functions.py index 4c27ec32f..c4e1a3481 100644 --- a/tests/test_basic_functions.py +++ b/tests/test_basic_functions.py @@ -222,7 +222,7 @@ def test_simple_plot_shapes(self): m2 = m.new_layer() m2.inherit_data(m) - m.set_shape.hexbin(size=(50, 25), aggregator=np.median) + m2.set_shape.hexbin(size=(50, 25), aggregator=np.median) m2.plot_map() plt.close("all") From acd7ce673c32026addabacb2292b79f1ad50aff6 Mon Sep 17 00:00:00 2001 From: Raphael Date: Thu, 28 Mar 2024 16:57:53 +0100 Subject: [PATCH 12/27] make sure hexbin collections are not added multiple times --- eomaps/_data_manager.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/eomaps/_data_manager.py b/eomaps/_data_manager.py index dbdf9afb9..5597ecffb 100644 --- a/eomaps/_data_manager.py +++ b/eomaps/_data_manager.py @@ -762,7 +762,7 @@ def on_fetch_bg(self, layer=None, bbox=None, check_redraw=True): coll.set_label("Dataset " f"({self.m.shape.name} | {self.z_data.shape})") - if self.m.shape.name not in ["scatter_points", "contour"]: + if self.m.shape.name not in ["scatter_points", "contour", "hexbin"]: # avoid use "autolim=True" since it can cause problems in # case the data-limits are infinite (e.g. for projected # datasets containing points outside the used projection) From 2dda0fcb331f82c00c732a276f2b63fc2d228874 Mon Sep 17 00:00:00 2001 From: Raphael Date: Tue, 2 Apr 2024 12:25:48 +0200 Subject: [PATCH 13/27] explicitly set ec="none" for hexbin plots to avoid overlapping hexagons matpltolib's default is `ec="face" and lw=1` which can cause the appearance of overlapping hexagons if the gridsize is large. --- eomaps/shapes.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/eomaps/shapes.py b/eomaps/shapes.py index 1836f9c7c..989f2accc 100644 --- a/eomaps/shapes.py +++ b/eomaps/shapes.py @@ -1127,6 +1127,14 @@ def radius_crs(self): return "in" def get_coll(self, x, y, crs, **kwargs): + # hide edgecolors if they are not explicitly set (to avoid overlapping + # hexagons due to large edge linewidths) + # matplotlib's default is currently `ec="face", lw=1` + if not any(i in kwargs for i in ("ec", "edgecolor")): + special_kwargs = {"ec": "none"} + else: + special_kwargs = {} + color_and_array = Shapes._get_colors_and_array(kwargs, None) if isinstance(self._aggregator, str): @@ -1149,6 +1157,7 @@ def get_coll(self, x, y, crs, **kwargs): extent=kwargs.get("extent", extent), **color_and_array, **kwargs, + **special_kwargs, ) return coll From c99e807ebf37cb8efb3f641a19fdf86070f54025 Mon Sep 17 00:00:00 2001 From: Raphael Date: Wed, 3 Apr 2024 14:45:43 +0200 Subject: [PATCH 14/27] update docs --- docs/_shape_table.rst | 58 ++++ .../colorbar.gif | Bin .../colorbar_ticks.png | Bin .../data_visualization/customize_plot.png | Bin 0 -> 56070 bytes .../dynamic_colorbar.gif | Bin .../data_visualization/explicit_colors.png | Bin 0 -> 55893 bytes docs/_static/data_visualization/plot_data.png | Bin 0 -> 53808 bytes .../data_visualization/rgba_composite.png | Bin 0 -> 257103 bytes .../data_visualization/uniform_colors.png | Bin 0 -> 50480 bytes docs/_static/shape_imgs/hexbin.png | Bin 0 -> 147528 bytes docs/api_data_visualization.rst | 290 ++++++++++++------ docs/index.rst | 54 +--- 12 files changed, 249 insertions(+), 153 deletions(-) create mode 100644 docs/_shape_table.rst rename docs/_static/{minigifs => data_visualization}/colorbar.gif (100%) rename docs/_static/{minigifs => data_visualization}/colorbar_ticks.png (100%) create mode 100644 docs/_static/data_visualization/customize_plot.png rename docs/_static/{minigifs => data_visualization}/dynamic_colorbar.gif (100%) create mode 100644 docs/_static/data_visualization/explicit_colors.png create mode 100644 docs/_static/data_visualization/plot_data.png create mode 100644 docs/_static/data_visualization/rgba_composite.png create mode 100644 docs/_static/data_visualization/uniform_colors.png create mode 100644 docs/_static/shape_imgs/hexbin.png diff --git a/docs/_shape_table.rst b/docs/_shape_table.rst new file mode 100644 index 000000000..5a99687b5 --- /dev/null +++ b/docs/_shape_table.rst @@ -0,0 +1,58 @@ + +.. grid:: 2 2 4 4 + :gutter: 1 + + .. grid-item-card:: Ellipses + :img-bottom: _static/shape_imgs/ellipses.png + :link: shp_ellipses + :link-type: ref + + .. grid-item-card:: Rectangles + :img-bottom: _static/shape_imgs/rectangles.png + :link: shp_rectangles + :link-type: ref + + .. grid-item-card:: Geodesic Circles + :img-bottom: _static/shape_imgs/geod_circles.png + :link: shp_geod_circles + :link-type: ref + + .. grid-item-card:: Scatter Points + :img-bottom: _static/shape_imgs/scatter_points.png + :link: shp_scatter + :link-type: ref + + .. grid-item-card:: Contour + :img-bottom: _static/shape_imgs/contour_unfilled_filled.png + :link: shp_contour + :link-type: ref + + .. grid-item-card:: Hexbin + :img-bottom: _static/shape_imgs/hexbin.png + :link: shp_hexbin + :link-type: ref + + .. grid-item-card:: Voronoi Diagram + :img-bottom: _static/shape_imgs/voronoi_diagram.png + :link: shp_voronoi + :link-type: ref + + .. grid-item-card:: Delaunay Triangulation + :img-bottom: _static/shape_imgs/delaunay_triangulation.png + :link: shp_delaunay + :link-type: ref + + .. grid-item-card:: Raster + :img-bottom: _static/shape_imgs/raster.png + :link: shp_raster + :link-type: ref + + .. grid-item-card:: Shade Raster + :img-bottom: _static/shape_imgs/shade_raster.png + :link: shp_shade_raster + :link-type: ref + + .. grid-item-card:: Shade Points + :img-bottom: _static/shape_imgs/shade_points.png + :link: shp_shade_points + :link-type: ref diff 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for details on each plot-shape!): -.. currentmodule:: eomaps.shapes.Shapes -.. autosummary:: - :nosignatures: - ellipses - rectangles - geod_circles - voronoi_diagram - delaunay_triangulation - contour - scatter_points - raster - shade_raster - shade_points + .. include:: _shape_table.rst @@ -536,6 +524,37 @@ Contour plots m.set_shape.contour(filled=True) # filled contour polygons (True) or contour lines (False) +.. _shp_hexbin: + +Hexbin plots +************ + +.. autosummary:: + :nosignatures: + + Maps.set_shape.hexbin + +.. list-table:: + :header-rows: 1 + + * - Suitable data size + - Supported data structures + * - up to a few million datapoints + - 1D, 2D or mixed + +.. image:: _static/shape_imgs/hexbin.png + :width: 50% + + +.. code-block:: python + + m.set_shape.hexbin(size=(40, 20), # number of hexagons in x- and y-direction + aggregator="mean", # the aggregation method to use + ) + + + + .. _shp_scatter: Scatter Points @@ -654,7 +673,7 @@ Shade Points .. _classify_the_data: -1) Classify the data +3) Classify the data ~~~~~~~~~~~~~~~~~~~~ .. currentmodule:: eomaps.eomaps @@ -749,16 +768,29 @@ Arguments that are supported by all shapes except ``shade`` shapes are: By default, the plot-extent of the axis is adjusted to the extent of the data **if the extent has not been set explicitly before**. To always keep the extent as-is, use ``m.plot_map(set_extent=False)``. -.. code-block:: python - :name: test_plot_data +.. grid:: 1 1 1 2 - from eomaps import Maps - m = Maps() - m.add_feature.preset.coastline(lw=0.5) + .. grid-item:: + + .. code-block:: python + :name: test_plot_data + + from eomaps import Maps + m = Maps() + m.add_feature.preset.ocean() + + m.set_data( + data=[1, 2, 3, 4, 5], + x = [-10, 20, 40, 60, 70], + y = [-10, 20, 50, 70, 30]) + m.set_shape.geod_circles(radius=7e5) + m.plot_map(cmap="viridis", set_extent=False) + + .. grid-item:: + + .. image:: _static/data_visualization/plot_data.png + :width: 75% - m.set_data([1,2,3,4,5], [10,20,40,60,70], [10,20,50,70,30], crs=4326) - m.set_shape.geod_circles(radius=7e5) - m.plot_map(cmap="viridis", ec="b", lw=1.5, alpha=0.85, set_extent=False) You can then continue to add a :ref:`colorbar` or create :ref:`zoomed_in_views_on_datasets`. @@ -791,14 +823,38 @@ In general, the colors assigned to the shapes are specified by - ``vmin`` and ``vmax`` set the range of data-values that are mapped to the colorbar-colors - Any values outside this range will get the colormaps ``over`` and ``under`` colors assigned. -.. code-block:: python - :name: test_customize_the_plot +.. grid:: 1 1 1 2 - from eomaps import Maps - m = Maps() - m.set_data([1,2,3,4,5], [10,20,40,60,70], [10,20,50,70,30]) - m.set_shape.ellipses(radius=5) - m.plot_map(cmap="viridis", vmin=2, vmax=4, ec="b", lw=0.5) + .. grid-item:: + + .. code-block:: python + :name: test_customize_the_plot + + from eomaps import Maps + m = Maps() + m.set_frame(rounded=0.2) + m.add_feature.preset.ocean() + m.add_feature.preset.land(fc="k") + + m.set_data( + data=[1, 2, 3, 4, 5], + x = [-10, 20, 40, 60, 70], + y = [-10, 20, 50, 70, 30]) + m.set_shape.geod_circles(radius=1e6) + m.plot_map( + cmap="tab10", # the colormap to use + vmin=2, # min value for cmap + vmax=4, # max value for cmap + alpha=0.8, # transparency + ec="w", # edgecolor + lw=1.5, # linewidth + ls="--" # linestyle + ) + + .. grid-item:: + + .. image:: _static/data_visualization/customize_plot.png + :width: 75% ------ @@ -825,36 +881,47 @@ To apply a uniform color to all datapoints, you can use `matpltolib's named colo - ``m.plot_map(fc=(0.4, 0.3, 0.2))`` - ``m.plot_map(fc=(1, 0, 0.2, 0.5))`` -.. code-block:: python - :name: test_uniform_colors +.. grid:: 1 1 1 2 - from eomaps import Maps + .. grid-item:: - m = Maps() - m.set_data(data=None, x=[10,20,30], y=[10,20,30]) + .. code-block:: python + :name: test_uniform_colors - # Use any of matplotlibs "named colors" - m1 = m.new_layer(inherit_data=True) - m1.set_shape.ellipses(radius=10) - m1.plot_map(fc="r", zorder=0) + from eomaps import Maps + + m = Maps() + m.add_feature.preset("coastline", "ocean") + m.set_data(data=None, x=[10,20,30], y=[10,20,30]) - m2 = m.new_layer(inherit_data=True) - m2.set_shape.ellipses(radius=8) - m2.plot_map(fc="orange", zorder=1) + # Use any of matplotlibs "named colors" + m1 = m.new_layer(inherit_data=True) + m1.set_shape.ellipses(radius=10) + m1.plot_map(fc="r", zorder=0) - # Use RGB or RGBA tuples - m3 = m.new_layer(inherit_data=True) - m3.set_shape.ellipses(radius=6) - m3.plot_map(fc=(1, 0, 0.5), zorder=2) + m2 = m.new_layer(inherit_data=True) + m2.set_shape.ellipses(radius=8) + m2.plot_map(fc="orange", zorder=1) - m4 = m.new_layer(inherit_data=True) - m4.set_shape.ellipses(radius=4) - m4.plot_map(fc=(1, 1, 1, .75), zorder=3) + # Use RGB tuples (r, g, b) + m3 = m.new_layer(inherit_data=True) + m3.set_shape.ellipses(radius=6) + m3.plot_map(fc=(1, 0, 0.5), zorder=2) - # For grayscale use a string of a number between 0 and 1 - m5 = m.new_layer(inherit_data=True) - m5.set_shape.ellipses(radius=2) - m5.plot_map(fc="0.3", zorder=4) + # Use RGBA tuples (r, g, b, alpha) + m4 = m.new_layer(inherit_data=True) + m4.set_shape.ellipses(radius=4) + m4.plot_map(fc=(1, 1, 1, .75), zorder=3) + + # For grayscale use a string of a number between 0 and 1 + m5 = m.new_layer(inherit_data=True) + m5.set_shape.ellipses(radius=2) + m5.plot_map(fc="0.3", zorder=4) + + .. grid-item:: + + .. image:: _static/data_visualization/uniform_colors.png + :width: 75% Explicit colors @@ -862,38 +929,50 @@ Explicit colors To explicitly color each datapoint with a pre-defined color, simply provide a list or array of the aforementioned types. -.. code-block:: python - :name: test_explicit_colors +.. grid:: 1 1 1 2 + + .. grid-item:: + + .. code-block:: python + :name: test_explicit_colors + + from eomaps import Maps + + m = Maps() + m.add_feature.preset("coastline", "ocean") + m.set_data(data=None, x=[10, 20, 30], y=[10, 20, 30]) + + # Use any of matplotlibs "named colors" + # (https://matplotlib.org/stable/gallery/color/named_colors.html) + m1 = m.new_layer(inherit_data=True) + m1.set_shape.ellipses(radius=10) + m1.plot_map(fc=["indigo", "g", "orange"], zorder=1) + + # Use RGB tuples + m2 = m.new_layer(inherit_data=True) + m2.set_shape.ellipses(radius=6) + m2.plot_map(fc=[(1, 0, 0.5), + (0.3, 0.4, 0.5), + (1, 1, 0)], zorder=2) + + # Use RGBA tuples + m3 = m.new_layer(inherit_data=True) + m3.set_shape.ellipses(radius=8) + m3.plot_map(fc=[(1, 0, 0.5, 0.25), + (1, 0, 0.5, 0.75), + (0.1, 0.2, 0.5, 0.5)], zorder=3) + + # For grayscale use a string of a number between 0 and 1 + m4 = m.new_layer(inherit_data=True) + m4.set_shape.ellipses(radius=4) + m4.plot_map(fc=[".1", ".2", "0.3"], zorder=4) + + .. grid-item:: + + .. image:: _static/data_visualization/explicit_colors.png + :width: 75% - from eomaps import Maps - m = Maps() - m.set_data(data=None, x=[10, 20, 30], y=[10, 20, 30]) - - # Use any of matplotlibs "named colors" - # (https://matplotlib.org/stable/gallery/color/named_colors.html) - m1 = m.new_layer(inherit_data=True) - m1.set_shape.ellipses(radius=10) - m1.plot_map(fc=["indigo", "g", "orange"], zorder=1) - - # Use RGB tuples - m2 = m.new_layer(inherit_data=True) - m2.set_shape.ellipses(radius=6) - m2.plot_map(fc=[(1, 0, 0.5), - (0.3, 0.4, 0.5), - (1, 1, 0)], zorder=2) - - # Use RGBA tuples - m3 = m.new_layer(inherit_data=True) - m3.set_shape.ellipses(radius=8) - m3.plot_map(fc=[(1, 0, 0.5, 0.25), - (1, 0, 0.5, 0.75), - (0.1, 0.2, 0.5, 0.5)], zorder=3) - - # For grayscale use a string of a number between 0 and 1 - m4 = m.new_layer(inherit_data=True) - m4.set_shape.ellipses(radius=4) - m4.plot_map(fc=[".1", ".2", "0.3"], zorder=4) RGB/RGBA composites ******************* @@ -913,25 +992,36 @@ You can fix individual color channels by passing a list with 1 element, e.g.: - ``m.plot_map(fc=(, [0.12345], , ))`` -.. code-block:: python - :name: test_rgba_composites - from eomaps import Maps - import numpy as np +.. grid:: 1 1 1 2 + + .. grid-item:: + + .. code-block:: python + :name: test_rgba_composites + + from eomaps import Maps + import numpy as np - x, y = np.meshgrid(np.linspace(-20, 40, 100), - np.linspace(50, 70, 50)) + x, y = np.meshgrid(np.linspace(-30, 30, 50), + np.linspace(30, 30, 50)) - # values must be between 0 and 1 - r = np.random.randint(0, 100, x.shape) / 100 - g = np.random.randint(0, 100, x.shape) / 100 - b = [0.4] - a = np.random.randint(0, 100, x.shape) / 100 + # values must be between 0 and 1 + r = np.random.randint(0, 100, x.shape) / 100 + g = np.random.randint(0, 100, x.shape) / 100 + b = [0.4] + a = np.random.randint(0, 100, x.shape) / 100 + + m = Maps() + m.add_feature.preset.ocean() + m.set_data(data=None, x=x, y=y) + m.plot_map(fc=(r, g, b, a)) + + .. grid-item:: + + .. image:: _static/data_visualization/rgba_composite.png + :width: 75% - m = Maps() - m.add_feature.preset.ocean() - m.set_data(data=None, x=x, y=y) - m.plot_map(fc=(r, g, b, a)) @@ -997,7 +1087,7 @@ Once a dataset has been plotted, a colorbar with a colored histogram on top can .. grid-item:: - .. image:: _static/minigifs/colorbar.gif + .. image:: _static/data_visualization/colorbar.gif .. autosummary:: @@ -1056,7 +1146,7 @@ To label the colorbar with custom names for a given set of bins, use :py:meth:`C .. grid-item:: - .. image:: _static/minigifs/colorbar_ticks.png + .. image:: _static/data_visualization/colorbar_ticks.png @@ -1099,4 +1189,4 @@ pixels within the current field of view by setting ``dynamic_shade_indicator=Tru .. grid-item:: - .. image:: _static/minigifs/dynamic_colorbar.gif + .. image:: _static/data_visualization/dynamic_colorbar.gif diff --git a/docs/index.rst b/docs/index.rst index 4bd0221f6..139e19504 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -50,59 +50,7 @@ Want to visualize some data? Have a look at the :doc:`api_data_visualization` se EOmaps provides a variety of plot-shapes so you can select a shape that suits the structure, size and spatial representativeness of your data: -.. grid:: 2 2 5 5 - :gutter: 1 - - .. grid-item-card:: Ellipses - :img-bottom: _static/shape_imgs/ellipses.png - :link: shp_ellipses - :link-type: ref - - .. grid-item-card:: Rectangles - :img-bottom: _static/shape_imgs/rectangles.png - :link: shp_rectangles - :link-type: ref - - .. grid-item-card:: Geodesic Circles - :img-bottom: _static/shape_imgs/geod_circles.png - :link: shp_geod_circles - :link-type: ref - - .. grid-item-card:: raster - :img-bottom: _static/shape_imgs/raster.png - :link: shp_raster - :link-type: ref - - .. grid-item-card:: Scatter Points - :img-bottom: _static/shape_imgs/scatter_points.png - :link: shp_scatter - :link-type: ref - - .. grid-item-card:: Contour - :img-bottom: _static/shape_imgs/contour_unfilled_filled.png - :link: shp_contour - :link-type: ref - - .. grid-item-card:: Voronoi Diagram - :img-bottom: _static/shape_imgs/voronoi_diagram.png - :link: shp_voronoi - :link-type: ref - - .. grid-item-card:: Delaunay Triangulation - :img-bottom: _static/shape_imgs/delaunay_triangulation.png - :link: shp_delaunay - :link-type: ref - - .. grid-item-card:: Shade Raster - :img-bottom: _static/shape_imgs/shade_raster.png - :link: shp_shade_raster - :link-type: ref - - .. grid-item-card:: Shade Points - :img-bottom: _static/shape_imgs/shade_points.png - :link: shp_shade_points - :link-type: ref - + .. include:: _shape_table.rst Map Features ------------ From dfe75084098834854ce74a77a43309d6a4235bbe Mon Sep 17 00:00:00 2001 From: Raphael Date: Wed, 3 Apr 2024 16:56:30 +0200 Subject: [PATCH 15/27] fix radius_crs has no setter when adding "scatter_points" markers include "scatter_points" markers in unittest --- eomaps/shapes.py | 2 +- tests/test_basic_functions.py | 8 ++++++++ 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/eomaps/shapes.py b/eomaps/shapes.py index 989f2accc..e3b70b1c7 100644 --- a/eomaps/shapes.py +++ b/eomaps/shapes.py @@ -166,6 +166,7 @@ def getQ(x, xc): class _CircularShapeBase(_ShapeBase): name = "circular_shape_base" + radius_crs = None def __init__(self, m): super().__init__(m=m) @@ -406,7 +407,6 @@ def __init__(self, m): self._radius_estimation_range = 100000 def _get(self, shape, **kwargs): - kwargs.setdefault("radius_crs", None) # get the name of the class for a given shape # (CamelCase without underscores) shapeclass_name = "_" + "".join(i.capitalize() for i in shape.split("_")) diff --git a/tests/test_basic_functions.py b/tests/test_basic_functions.py index c4e1a3481..166b917a1 100644 --- a/tests/test_basic_functions.py +++ b/tests/test_basic_functions.py @@ -397,6 +397,14 @@ def test_add_marker(self): shape="rectangles", ) + m.add_marker( + xy=[(20, 3), (20, 4)], + xy_crs=4326, + shape="scatter_points", + radius=1000, + facecolor=("red", "green"), + ) + m.add_marker( np.arange(1410, 1440, 1), facecolor=[1, 0, 0, 0.5], From 85eb7c88503524e2fb197522b531844915b239f5 Mon Sep 17 00:00:00 2001 From: Raphael Date: Wed, 3 Apr 2024 17:40:14 +0200 Subject: [PATCH 16/27] allow using "bbox=None" to hide the bounding-box for annotations --- eomaps/callbacks.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/eomaps/callbacks.py b/eomaps/callbacks.py index 9039a2dbf..82749294e 100644 --- a/eomaps/callbacks.py +++ b/eomaps/callbacks.py @@ -391,12 +391,17 @@ def annotate( if printstr is not None: # create a new annotation - if not multipick: - bbox = dict(boxstyle="round", fc="w", ec=val_color) - bbox.update(kwargs.pop("bbox", dict())) + inp_bbox = kwargs.pop("bbox", dict()) + + if inp_bbox is not None: + if not multipick: + bbox = dict(boxstyle="round", fc="w", ec=val_color) + bbox.update(inp_bbox) + else: + bbox = dict(boxstyle="round", fc="w", ec="k") + bbox.update(inp_bbox) else: - bbox = dict(boxstyle="round", fc="w", ec="k") - bbox.update(kwargs.pop("bbox", dict())) + bbox = None styledict = dict( xytext=(20, 20), From 10360e6d8e2b2abb3220e65d9afc65c4a145c0a0 Mon Sep 17 00:00:00 2001 From: Raphael Date: Thu, 4 Apr 2024 10:17:48 +0200 Subject: [PATCH 17/27] fix using kwargs to style the boundary of the peek-layer region --- eomaps/callbacks.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/eomaps/callbacks.py b/eomaps/callbacks.py index 82749294e..167e51a0f 100644 --- a/eomaps/callbacks.py +++ b/eomaps/callbacks.py @@ -758,8 +758,9 @@ def peek_layer( ax = self.m.ax # default boundary args - args = dict(fc="none", ec="k", lw=1.1) - args.update(kwargs) + kwargs.setdefault("fc", "none") + kwargs.setdefault("ec", "k") + kwargs.setdefault("lw", 1.1) if isinstance(how, str): # base transformations on transData to ensure correct treatment @@ -864,7 +865,7 @@ def peek_layer( raise TypeError(f"EOmaps: {how} is not a valid peek method!") if clip_path is not None: - patch = PathPatch(clip_path, ec="k", fc="none") + patch = PathPatch(clip_path, **kwargs) marker = self.m.ax.add_patch(patch) self.m.cb.click.add_temporary_artist(marker) From 9ce7c3206832ce6a1f8131861df4bcd65e13f8b9 Mon Sep 17 00:00:00 2001 From: Raphael Date: Thu, 4 Apr 2024 13:06:59 +0200 Subject: [PATCH 18/27] fix treatment of "hist_size=None" for colorbars improve handling of singular axes --- eomaps/colorbar.py | 35 ++++++++++++++++++++++++++++------- 1 file changed, 28 insertions(+), 7 deletions(-) diff --git a/eomaps/colorbar.py b/eomaps/colorbar.py index c5c008eb0..360bce145 100644 --- a/eomaps/colorbar.py +++ b/eomaps/colorbar.py @@ -67,7 +67,11 @@ def __init__( hist_size=0.9, ): self._parent_cb = None - self._hist_size_ = hist_size + + if hist_size is None: + self._hist_size_ = 0 + else: + self._hist_size_ = hist_size self._extend_frac = extend_frac @@ -104,6 +108,9 @@ def _hist_size(self): @_hist_size.setter def _hist_size(self, size): + if size is None: + size = 0 + if self._parent_cb is None: self._hist_size_ = size else: @@ -248,8 +255,24 @@ def xchanged(event): self.ax_cb_plot.callbacks.connect("ylim_changed", ychanged) def _hide_singular_axes(self): - sing_hist = self.ax_cb_plot.bbox.width <= 2 or self.ax_cb_plot.bbox.height <= 2 - sing_cb = self.ax_cb.bbox.width <= 2 or self.ax_cb.bbox.height <= 2 + + sing_hist = (self.ax_cb_plot.bbox.width <= 2) or ( + self.ax_cb_plot.bbox.height <= 2 + ) + sing_cb = (self.ax_cb.bbox.width <= 2) or (self.ax_cb.bbox.height <= 2) + + # trigger a draw to update axes positions before checking singularity + # (ignore any errors in here to avoid any remaining issues with singular axes + # if hist-updates are triggered faster than draw-events...) + try: + self._m.f.canvas.draw() + except Exception: + pass + + sing_hist = (self.ax_cb_plot.bbox.width <= 2) or ( + self.ax_cb_plot.bbox.height <= 2 + ) + sing_cb = (self.ax_cb.bbox.width <= 2) or (self.ax_cb.bbox.height <= 2) if sing_hist: self.ax_cb_plot.set_visible(False) @@ -262,12 +285,10 @@ def _hide_singular_axes(self): self.ax_cb.set_visible(True) def _set_hist_size(self, size=None, update_all=False): - if size is None: - size = self._hist_size - else: + if size is not None: self._hist_size = size - assert 0 <= size <= 1, "Histogram size must be between 0 and 1" + assert 0 <= self._hist_size <= 1, "Histogram size must be between 0 and 1" self._hide_singular_axes() From c1c8ce80e1316d25ebf30f8600d12c8430365d32 Mon Sep 17 00:00:00 2001 From: Raphael Date: Thu, 4 Apr 2024 13:45:20 +0200 Subject: [PATCH 19/27] allow overriding default kwargs of peek-layer callbacks in companion-widget --- eomaps/qtcompanion/widgets/peek.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/eomaps/qtcompanion/widgets/peek.py b/eomaps/qtcompanion/widgets/peek.py index 527cbf1f5..ba91f675c 100644 --- a/eomaps/qtcompanion/widgets/peek.py +++ b/eomaps/qtcompanion/widgets/peek.py @@ -316,6 +316,13 @@ def enterEvent(self, e): class PeekLayerWidget(QtWidgets.QWidget): + _peek_kwargs = dict() + + @classmethod + def set_default_kwargs(cls, **kwargs): + """Update the default kwargs used by peek-layer callbacks.""" + cls._peek_kwargs.update(kwargs) + def __init__(self, *args, m=None, layers=None, exclude=None, **kwargs): """ A dropdown-list that attaches a peek-callback to look at the selected layer @@ -401,6 +408,7 @@ def set_layer_callback(self, l): alpha=self.buttons.alpha, modifier=modifier, shape=self.buttons.shape, + **PeekLayerWidget._peek_kwargs, ) self.current_layer = l @@ -424,6 +432,7 @@ def add_peek_cb(self): alpha=self.buttons.alpha, modifier=modifier, shape=self.buttons.shape, + **PeekLayerWidget._peek_kwargs, ) # execute the attached callback with the last available From 5291ecc7499543bc29baa4884069214806326276 Mon Sep 17 00:00:00 2001 From: Raphael Date: Thu, 4 Apr 2024 15:21:11 +0200 Subject: [PATCH 20/27] use pytest for shape unittests and include hexbin shape --- tests/test_plot_shapes.py | 197 ++++++++++++++++++++++---------------- 1 file changed, 116 insertions(+), 81 deletions(-) diff --git a/tests/test_plot_shapes.py b/tests/test_plot_shapes.py index 79affcb5c..dfdd22f12 100644 --- a/tests/test_plot_shapes.py +++ b/tests/test_plot_shapes.py @@ -1,89 +1,124 @@ -import unittest +import pytest import pandas as pd import numpy as np +import matplotlib.pyplot as plt from eomaps import Maps -import matplotlib.pyplot as plt # TODO add proper (extensive) tests for each shape! - -class TestPlotShapes(unittest.TestCase): - def setUp(self): - x, y = np.meshgrid(np.linspace(-40, 40, 50), np.linspace(-25, 30, 50)) - data = x**2 + y**2 - - # use an irregular sample of the data to check irregular datasets as well - self.data_pandas = dict( - data=pd.DataFrame( - dict(lon=x.ravel(), lat=y.ravel(), value=data.ravel()) - ).sample(500), - x="lon", - y="lat", - parameter="value", - ) - - self.data_1d = dict(x=x.ravel(), y=y.ravel(), data=data.ravel()) - - self.data_2d = dict(x=x, y=y, data=data) - - def test_contour(self): - for data in (self.data_pandas, self.data_1d, self.data_2d): - m = Maps(ax=221, figsize=(10, 6)) - m.subplots_adjust(left=0.01, right=0.99) - m.set_data(**data) - m.set_shape.contour(filled=True) - m.plot_map() - cb = m.add_colorbar() - - m1 = m.new_map(ax=222, inherit_data=True) - m1.set_shape.contour(filled=False) - m1.plot_map() - cb1 = m1.add_colorbar() - - m2 = m.new_map(ax=223, inherit_data=True) - m2.add_feature.preset("ocean", "land") - m2.set_shape.contour(filled=True) - m2.plot_map( - colors=["none", "r", (0, 1, 0, 0.25), "r"], - hatches=["", "xxxx", "///", "xxxx"], - ) - - m3 = m.new_map(ax=224, inherit_data=True) - m3.set_shape.ellipses() - m3.plot_map(alpha=0.25) - cb3 = m3.add_colorbar() - - m3_1 = m3.new_layer("contours", inherit_data=True) - m3_1.set_shape.contour(filled=False) - m3_1.plot_map(linestyles=["--", "-", ":", "-."]) - - cb3.indicate_contours( - contour_map=m3_1, - add_labels="top", - exclude_levels=[0, -1], - label_kwargs=dict(color="r", rotation=90, xytext=(-5, -10)), - ) - - cb3.indicate_contours( - contour_map=m3_1, - add_labels="top", - use_levels=[1], - label_names=["This one!"], - label_kwargs=dict( - xytext=(-40, 20), zorder=-1, arrowprops={"arrowstyle": "fancy"} - ), - ) - - # TODO using 'clabel' causes collections to be re-drawn - # which puts the new contours on the default layer and leaves - # the old contours as "artists without a figure" in the blit-manager! - # see https://github.com/raphaelquast/EOmaps/issues/218 - - # arts = m3_1.ax.clabel(m3_1.coll.contour_set) - # for a in arts: - # m3_1.BM.add_bg_artist(a, layer=m3_1.layer) - - m.show_layer("base", "contours") - plt.close("all") +x, y = np.linspace(-40, 40, 50), np.linspace(-25, 30, 150) +x2d, y2d = np.meshgrid(x, y, indexing="ij") +data = x2d**2 + y2d**2 + +# use an irregular sample of the data to check irregular datasets as well +data_pandas = dict( + data=pd.DataFrame( + dict(lon=x2d.ravel(), lat=y2d.ravel(), value=data.ravel()) + ).sample(1000), + x="lon", + y="lat", + parameter="value", +) +data_1d = dict(x=x2d.ravel(), y=y2d.ravel(), data=data.ravel()) +data_1d_2d = dict(x=x, y=y, data=data) +data_2d = dict(x=x2d, y=y2d, data=data) + +testdata = [data_pandas, data_1d, data_1d_2d, data_2d] +ids = ["pandas", "1D", "1D2D", "2D"] + +# %% + + +@pytest.fixture +def close_all(): + yield + plt.close("all") + + +@pytest.mark.usefixtures("close_all") +@pytest.mark.parametrize("data", testdata, ids=ids) +def test_hexbin(data): + m = Maps(ax=221, figsize=(10, 6)) + m.set_data(**data) + m.set_shape.hexbin(size=(10, 5)) + m.plot_map() + m.add_colorbar() + + m2 = m.new_map(ax=222, inherit_data=True) + m2.set_shape.hexbin(size=20, aggregator="median") + m2.plot_map(cmap="RdYlBu") + m2.add_colorbar() + + m3 = m.new_map(ax=223, inherit_data=True) + m3.set_shape.hexbin(size=10, aggregator="min") + m3.plot_map(cmap="RdYlBu") + m3.add_colorbar() + + m4 = m.new_map(ax=224, inherit_data=True) + m4.set_shape.hexbin(size=10, aggregator="max") + m4.set_classify.EqualInterval(k=5) + m4.plot_map(cmap="RdYlBu") + m4.add_colorbar() + + +@pytest.mark.usefixtures("close_all") +@pytest.mark.parametrize("data", testdata, ids=ids) +def test_contour(data): + m = Maps(ax=221, figsize=(10, 6)) + m.subplots_adjust(left=0.01, right=0.99) + m.set_data(**data) + m.set_shape.contour(filled=True) + m.plot_map() + m.add_colorbar() + + m1 = m.new_map(ax=222, inherit_data=True) + m1.set_shape.contour(filled=False) + m1.plot_map() + m1.add_colorbar() + + m2 = m.new_map(ax=223, inherit_data=True) + m2.add_feature.preset("ocean", "land") + m2.set_shape.contour(filled=True) + m2.plot_map( + colors=["none", "r", (0, 1, 0, 0.25), "r"], + hatches=["", "xxxx", "///", "xxxx"], + ) + + m3 = m.new_map(ax=224, inherit_data=True) + m3.set_shape.ellipses() + m3.plot_map(alpha=0.25) + cb3 = m3.add_colorbar() + + m3_1 = m3.new_layer("contours", inherit_data=True) + m3_1.set_shape.contour(filled=False) + m3_1.plot_map(linestyles=["--", "-", ":", "-."]) + + cb3.indicate_contours( + contour_map=m3_1, + add_labels="top", + exclude_levels=[0, -1], + label_kwargs=dict(color="r", rotation=90, xytext=(-5, -10)), + ) + + cb3.indicate_contours( + contour_map=m3_1, + add_labels="top", + use_levels=[1], + label_names=["This one!"], + label_kwargs=dict( + xytext=(-40, 20), zorder=-1, arrowprops={"arrowstyle": "fancy"} + ), + ) + + # TODO using 'clabel' causes collections to be re-drawn + # which puts the new contours on the default layer and leaves + # the old contours as "artists without a figure" in the blit-manager! + # see https://github.com/raphaelquast/EOmaps/issues/218 + + # arts = m3_1.ax.clabel(m3_1.coll.contour_set) + # for a in arts: + # m3_1.BM.add_bg_artist(a, layer=m3_1.layer) + + m.show_layer("base", "contours") From 8982d292b1d0a30cac643bb87984039329c1510a Mon Sep 17 00:00:00 2001 From: Raphael Date: Thu, 4 Apr 2024 17:43:11 +0200 Subject: [PATCH 21/27] fix recognition of layers that contain only dynamic artists --- eomaps/eomaps.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/eomaps/eomaps.py b/eomaps/eomaps.py index d458956b2..8a0563858 100644 --- a/eomaps/eomaps.py +++ b/eomaps/eomaps.py @@ -5053,7 +5053,12 @@ def _get_layers(self, exclude=None, exclude_private=True): # add all (possibly still invisible) layers with artists defined # (ONLY do this for unique layers... skip multi-layers ) layers = layers.union( - chain(*(self.BM._parse_multi_layer_str(i)[0] for i in self.BM._bg_artists)) + chain( + *( + self.BM._parse_multi_layer_str(i)[0] + for i in (*self.BM._bg_artists, *self.BM._artists) + ) + ) ) # exclude private layers From 67f996a5e70fef4e7520d80ef10d700a5f7e1453 Mon Sep 17 00:00:00 2001 From: Raphael Date: Fri, 5 Apr 2024 18:03:57 +0200 Subject: [PATCH 22/27] avoid clipping of scalebars and issues for click-events outside the axes --- eomaps/scalebar.py | 22 +++++++++++++++++----- 1 file changed, 17 insertions(+), 5 deletions(-) diff --git a/eomaps/scalebar.py b/eomaps/scalebar.py index 1561d7520..0c01c46f6 100644 --- a/eomaps/scalebar.py +++ b/eomaps/scalebar.py @@ -1185,7 +1185,7 @@ def _set_minitxt(self, d, pts): ) + self._m.ax.transData ) - + patch.set_clip_on(False) self._artists[f"text_{i}"] = self._m.ax.add_artist(patch) self._texts[f"text_{i}"] = txt self._m.BM.add_artist(self._artists[f"text_{i}"], layer=self._layer) @@ -1333,6 +1333,12 @@ def _add_scalebar(self, pos, azim, pickable=True): if pickable is True: self._make_pickable() + # make sure scalebar-artists are not clipped with respect + # to the spine of the axes + for _, a in self._artists.items(): + if a is not None: + a.set_clip_on(False) + def _get_scale_color_names(self): colors = [] for i in self._scale_props["colors"]: @@ -1413,10 +1419,16 @@ def _cb_click(self, event): self._pick_drag = True # get the offset_position of the click with respect to the # reference point of the scalebar - lon0, lat0 = self._m._transf_plot_to_lonlat.transform( - event.xdata, event.ydata - ) - self._pick_start_offset = self._lon - lon0, self._lat - lat0 + xdata, ydata = event.xdata, event.ydata + if xdata is not None and ydata is not None: + lon0, lat0 = self._m._transf_plot_to_lonlat.transform( + event.xdata, event.ydata + ) + self._pick_start_offset = self._lon - lon0, self._lat - lat0 + else: + # None event coordinates happen if you click outside + # the axes-spine + self._pick_start_offset = 0, 0 elif event.button in ["up", "down"]: # pass scroll events that happen on top of the scalebar From 73ea21ec75e4c4b3e8c810f8f88a8fefb0887927 Mon Sep 17 00:00:00 2001 From: Raphael Date: Mon, 8 Apr 2024 15:42:20 +0200 Subject: [PATCH 23/27] fix using multiple sizes for scatter_points shape --- eomaps/shapes.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/eomaps/shapes.py b/eomaps/shapes.py index e3b70b1c7..1d688b1b0 100644 --- a/eomaps/shapes.py +++ b/eomaps/shapes.py @@ -1192,7 +1192,7 @@ def __call__(self, size=None, marker=None): for m in self._m if isinstance(self._m, MapsGrid) else [self._m]: shape = self.__class__(m) - shape._size = size + shape._size = np.asanyarray(size) # always convert to numpy shape._marker = marker m._shape = shape @@ -1203,9 +1203,7 @@ def _initargs(self): @property def _selected_size(self): # chedck if multiple size values were provided - q = isinstance(self._size, np.ndarray) - - if q: + if np.size(self._size) > 1: mask = self._m._data_manager._get_q()[0] # quick exit if full data is in extent From 006da66e20456ee2652e4d7f5a89d17ec498c6e5 Mon Sep 17 00:00:00 2001 From: Raphael Date: Mon, 8 Apr 2024 15:43:21 +0200 Subject: [PATCH 24/27] allow using an explicit norm if no classification is used --- eomaps/eomaps.py | 18 ++++++++++++++++-- 1 file changed, 16 insertions(+), 2 deletions(-) diff --git a/eomaps/eomaps.py b/eomaps/eomaps.py index 8a0563858..7d72dde07 100644 --- a/eomaps/eomaps.py +++ b/eomaps/eomaps.py @@ -3082,6 +3082,20 @@ def plot_map( classify_specs=self.classify_specs, ) + if norm is not None: + if "norm" in kwargs: + raise TypeError( + "EOmaps: You cannot provide an explicit norm for the dataset if a " + "classification scheme is used!" + ) + else: + if "norm" in kwargs: + norm = kwargs.pop("norm") + norm.vmin = self._vmin + norm.vmax = self._vmax + else: + norm = plt.Normalize(vmin=self._vmin, vmax=self._vmax) + # todo remove duplicate attributes self.classify_specs._cbcmap = cbcmap self.classify_specs._norm = norm @@ -4338,7 +4352,7 @@ def _classify_data( classified = False bins = None cbcmap = cmap - norm = mpl.colors.Normalize(vmin, vmax) + norm = None return cbcmap, norm, bins, classified @@ -4559,7 +4573,7 @@ def _plot_map( f"{self._data_manager.z_data.size} datapoints ({self.shape.name})" ) - for key in ("array", "norm"): + for key in ("array",): assert ( key not in kwargs ), f"The key '{key}' is assigned internally by EOmaps!" From 0ed8c405a493d0ff676289985438e4d7230ff173 Mon Sep 17 00:00:00 2001 From: Raphael Date: Mon, 8 Apr 2024 15:44:23 +0200 Subject: [PATCH 25/27] improve handling of "where" kwarg for gridlines --- eomaps/grid.py | 32 ++++++++++++++++++-------------- 1 file changed, 18 insertions(+), 14 deletions(-) diff --git a/eomaps/grid.py b/eomaps/grid.py index 6cc1ea3cb..dcfee68e2 100644 --- a/eomaps/grid.py +++ b/eomaps/grid.py @@ -691,6 +691,7 @@ def _get_spine_intersections(self, lines, axis=None): # get boundary vertices of current axis spine (in figure coordinates) bl = self._get_bound_verts() + bndmin, bndmax = bl.min(axis=0), bl.max(axis=0) # get gridlines uselines = np.array(lines[axis]) @@ -773,25 +774,28 @@ def _get_spine_intersections(self, lines, axis=None): if xt > 0.99 or xt < 0.01: continue - if "t" in self._where: - if "b" not in self._where: - # don't draw the second intersection point - if yt <= 0.5: - continue - elif "b" in self._where: - if yt > 0.5: + line_in_bnds = l[:, 1].clip(bndmin[1], bndmax[1]) + line_center = (line_in_bnds.min() + line_in_bnds.max()) / 2 + top = y > line_center + if top: + if not ("t" in self._where): + continue + else: + if not ("b" in self._where): continue else: if yt > 0.99 or yt < 0.01: continue - if "r" in self._where: - if "l" not in self._where: - # don't draw the second intersection point - if xt <= 0.5: - continue - elif "l" in self._where: - if xt > 0.5: + line_in_bnds = l[:, 0].clip(bndmin[0], bndmax[0]) + line_center = (line_in_bnds.min() + line_in_bnds.max()) / 2 + + right = x > line_center + if right: + if not ("r" in self._where): + continue + else: + if not ("l" in self._where): continue # calculate rotation angle of boundary segment From e95f394f9ff009f3194f91526b28a487b31f9549 Mon Sep 17 00:00:00 2001 From: Raphael Date: Mon, 8 Apr 2024 15:44:34 +0200 Subject: [PATCH 26/27] minor --- eomaps/colorbar.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/eomaps/colorbar.py b/eomaps/colorbar.py index 360bce145..94f53d878 100644 --- a/eomaps/colorbar.py +++ b/eomaps/colorbar.py @@ -1454,8 +1454,9 @@ def _new_colorbar( The default is 2. log : bool, optional Indicator if the y-axis of the plot should be logarithmic or not. - The default is False + The default is False. out_of_range_vals : str or None + Set how to treat histogram values outside the visible range of values. - if "mask": out-of range values will be masked. (e.g. values outside the colorbar limits are not represented in the From e969c4cdad71e55d4ac3389cb933547e0e1f6525 Mon Sep 17 00:00:00 2001 From: Raphael Date: Mon, 8 Apr 2024 18:56:54 +0200 Subject: [PATCH 27/27] update version to v8.1 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 9d2735852..fa9437b13 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ eomaps = ["logo.png", "NE_features.json", "qtcompanion/icons/*"] [project] name = "eomaps" -version = "8.0.3" +version = "8.1" description = "A library to create interactive maps of geographical datasets." readme = "README.md" license = {file = "LICENSE"}