Python altair.layer() Examples
The following are 3
code examples of altair.layer().
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Example #1
Source File: runways.py From traffic with MIT License | 6 votes |
def geoencode( self, mode: str = "geometry" ) -> Optional[alt.Chart]: # coverage: ignore if mode == "geometry": return ( super().geoencode().mark_geoshape(strokeWidth=2, stroke="black") ) elif mode == "labels": rwy_labels = alt.Chart(self.data).encode( longitude="longitude:Q", latitude="latitude:Q", text="name:N" ) rwy_layers = [ rwy_labels.transform_filter(alt.datum.name == name).mark_text( angle=bearing, baseline="middle", dy=10 ) for (name, bearing) in zip(self.data.name, self.data.bearing) ] return alt.layer(*rwy_layers) else: return None
Example #2
Source File: structure.py From traffic with MIT License | 6 votes |
def geoencode( self, footprint: bool = True, runways: bool = False, labels: bool = False, ) -> alt.Chart: # coverage: ignore cumul = [] if footprint: cumul.append(super().geoencode()) if runways: cumul.append(self.runways.geoencode()) if labels: cumul.append(self.runways.geoencode("labels")) if len(cumul) == 0: raise TypeError( "At least one of footprint, runways and labels must be True" ) return alt.layer(*cumul)
Example #3
Source File: app.py From demo-self-driving with Apache License 2.0 | 5 votes |
def frame_selector_ui(summary): st.sidebar.markdown("# Frame") # The user can pick which type of object to search for. object_type = st.sidebar.selectbox("Search for which objects?", summary.columns, 2) # The user can select a range for how many of the selected objecgt should be present. min_elts, max_elts = st.sidebar.slider("How many %ss (select a range)?" % object_type, 0, 25, [10, 20]) selected_frames = get_selected_frames(summary, object_type, min_elts, max_elts) if len(selected_frames) < 1: return None, None # Choose a frame out of the selected frames. selected_frame_index = st.sidebar.slider("Choose a frame (index)", 0, len(selected_frames) - 1, 0) # Draw an altair chart in the sidebar with information on the frame. objects_per_frame = summary.loc[selected_frames, object_type].reset_index(drop=True).reset_index() chart = alt.Chart(objects_per_frame, height=120).mark_area().encode( alt.X("index:Q", scale=alt.Scale(nice=False)), alt.Y("%s:Q" % object_type)) selected_frame_df = pd.DataFrame({"selected_frame": [selected_frame_index]}) vline = alt.Chart(selected_frame_df).mark_rule(color="red").encode( alt.X("selected_frame:Q", axis=None) ) st.sidebar.altair_chart(alt.layer(chart, vline)) selected_frame = selected_frames[selected_frame_index] return selected_frame_index, selected_frame # Select frames based on the selection in the sidebar