Quadtree read/write, no build #226
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…reased readability)
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Done
Not working/testes:
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roeldegoede
commented
Dec 3, 2024
Comment on lines
+135
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+192
| def map_overlay(self, file_name, xlim=None, ylim=None, color="black", width=800): | ||
| if self.data is None: | ||
| # No grid (yet) | ||
| return False | ||
| try: | ||
| if not hasattr(self, "df"): | ||
| self.df = None | ||
| if self.df is None: | ||
| self._get_datashader_dataframe() | ||
|
|
||
| transformer = Transformer.from_crs(4326, 3857, always_xy=True) | ||
| xl0, yl0 = transformer.transform(xlim[0], ylim[0]) | ||
| xl1, yl1 = transformer.transform(xlim[1], ylim[1]) | ||
| xlim = [xl0, xl1] | ||
| ylim = [yl0, yl1] | ||
| ratio = (ylim[1] - ylim[0]) / (xlim[1] - xlim[0]) | ||
| height = int(width * ratio) | ||
| cvs = ds.Canvas( | ||
| x_range=xlim, y_range=ylim, plot_height=height, plot_width=width | ||
| ) | ||
| agg = cvs.line(self.df, x=["x1", "x2"], y=["y1", "y2"], axis=1) | ||
| img = tf.shade(agg) | ||
| path = os.path.dirname(file_name) | ||
| if not path: | ||
| path = os.getcwd() | ||
| name = os.path.basename(file_name) | ||
| name = os.path.splitext(name)[0] | ||
| export_image(img, name, export_path=path) | ||
| return True | ||
| except Exception: | ||
| return False | ||
|
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||
| def snap_to_grid(self, polyline, max_snap_distance=1.0): | ||
| if len(polyline) == 0: | ||
| return gpd.GeoDataFrame() | ||
| geom_list = [] | ||
| for iline, line in polyline.iterrows(): | ||
| geom = line["geometry"] | ||
| if geom.geom_type == "LineString": | ||
| geom_list.append(geom) | ||
| gdf = gpd.GeoDataFrame({"geometry": geom_list}) | ||
| snapped_uds, snapped_gdf = xu.snap_to_grid( | ||
| gdf, self.data.grid, max_snap_distance=max_snap_distance | ||
| ) | ||
| snapped_gdf = snapped_gdf.set_crs(self.crs) | ||
| return snapped_gdf | ||
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| # Internal functions | ||
| def _get_datashader_dataframe(self): | ||
| # Create a dataframe with line elements | ||
| x1 = self.data.grid.edge_node_coordinates[:, 0, 0] | ||
| x2 = self.data.grid.edge_node_coordinates[:, 1, 0] | ||
| y1 = self.data.grid.edge_node_coordinates[:, 0, 1] | ||
| y2 = self.data.grid.edge_node_coordinates[:, 1, 1] | ||
| transformer = Transformer.from_crs(self.crs, 3857, always_xy=True) | ||
| x1, y1 = transformer.transform(x1, y1) | ||
| x2, y2 = transformer.transform(x2, y2) | ||
| self.df = pd.DataFrame(dict(x1=x1, y1=y1, x2=x2, y2=y2)) |
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Not sure if this belongs in this repo? Especially the datashader stuff is really meant for GUI stuff and could be easily rewritten to two simple functions (1) that converts a quadtree grid into a dataframe and (2) that creates a map overlay image based on xlim ylim and the dataframe
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