Merge pull request #1278 from cal-itp/speedmaps-split-peaks

segment speeds for speedmaps part 2

_shared_utils/shared_utils/gtfs_analytics_data.yml

@@ -119,9 +119,10 @@ speedmap_segments:
   trip_stop_cols: ["trip_instance_key", "stop_sequence", "stop_sequence1"]
   shape_stop_cols: ["shape_array_key", "shape_id"]
   stop_pair_cols: ["stop_pair", "stop_pair_name", "segment_id"]
-  route_dir_cols: ["route_id", "route_short_name"]
+  route_dir_cols: ["route_id", "direction_id"]
   segments_file: "segment_options/speedmap_segments"
   shape_stop_single_segment: "rollup_singleday/speeds_shape_speedmap_segments"
+  shape_stop_single_segment_detail: "rollup_singleday/speeds_shape_speedmap_segments_detail"
   route_dir_single_segment: "rollup_singleday/speeds_route_dir_speedmap_segments"
   route_dir_multi_segment: "rollup_multiday/speeds_route_dir_speedmap_segments"
   min_trip_minutes: ${speed_vars.time_min_cutoff}

_shared_utils/shared_utils/rt_utils.py

@@ -45,8 +45,8 @@
 MPH_PER_MPS = 2.237  # use to convert meters/second to miles/hour
 METERS_PER_MILE = 1609.34
 # Colorscale
-ZERO_THIRTY_COLORSCALE = branca.colormap.step.RdYlGn_10.scale(vmin=0, vmax=30)
-ZERO_THIRTY_COLORSCALE.caption = "Speed (miles per hour)"
+# ZERO_THIRTY_COLORSCALE = branca.colormap.step.RdYlGn_10.scale(vmin=0, vmax=30)
+# ZERO_THIRTY_COLORSCALE.caption = "Speed (miles per hour)"
 ACCESS_ZERO_THIRTY_COLORSCALE = branca.colormap.step.RdBu_10.scale(vmin=0, vmax=30)
 ACCESS_ZERO_THIRTY_COLORSCALE.caption = "Speed (miles per hour)"
 VARIANCE_COLORS = branca.colormap.step.Blues_06.colors[1:]  # actual breaks will vary
@@ -562,6 +562,13 @@ def categorize_time_of_day(value: Union[int, dt.datetime]) -> str:
         return "Evening"
 
 
+def time_of_day_durations() -> pd.Series:
+    """
+    Get duration in hours of each time of day classification.
+    """
+    return pd.Series([categorize_time_of_day(x) for x in range(25)]).value_counts()
+
+
 @jit(nopython=True)  # numba gives huge speedup here (~60x)
 def time_at_position_numba(desired_position, shape_array, dt_float_array):
     if desired_position < shape_array.max() and desired_position > shape_array.min():