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segment speeds for speedmaps part 2 #1278

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segment speeds for speedmaps part 2 #1278

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a425e0b
speedmaps accessible by default!
edasmalchi Nov 1, 2024
20b0eea
speedmap shape segment aggregation across all times of day
edasmalchi Nov 1, 2024
f4aeed1
create generic count trips by group
edasmalchi Nov 1, 2024
0c3250d
test out schedule trip counts
edasmalchi Nov 1, 2024
ed23eba
test schedule trips/hr func in nb
edasmalchi Nov 4, 2024
ac4c409
tweak functions, test
edasmalchi Nov 4, 2024
a1848ae
debug metro J line: can't group on route_short_name since it's not re…
edasmalchi Nov 4, 2024
6d71384
debug
edasmalchi Nov 4, 2024
1af4a53
test re-adding route_short_name at end... working
edasmalchi Nov 4, 2024
1b7d1e8
testing
edasmalchi Nov 4, 2024
3a251ee
format
edasmalchi Nov 5, 2024
c4bedd0
clean up new nb, get ready to migrate fully
edasmalchi Nov 5, 2024
f0ae283
attempt new chart
edasmalchi Nov 6, 2024
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3 changes: 2 additions & 1 deletion _shared_utils/shared_utils/gtfs_analytics_data.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -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}
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11 changes: 9 additions & 2 deletions _shared_utils/shared_utils/rt_utils.py
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Expand Up @@ -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
Expand Down Expand Up @@ -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():
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