Open iantei opened 5 months ago
Thank you for showing all of the images, this looks really good! I haven't looked at the code yet, but I noticed a couple of small things related to the charts:
labeled 'To Work' by user
in this case, since that is the label we're actually referring to, this is similar to the way that you'll select what purpose label means commute like this code was doing before you refactored - ideally the "commute" mode should show up in the purpose chart somewhere since its just based on the "work" mode in whatever labels (dynamic or default) that are being usedThank you for showing all of the images, this looks really good! I haven't looked at the code yet, but I noticed a couple of small things related to the charts:
- the color-mode mapping is not consistent between all of the charts (like in the first image E-bike is blue in total trips but orange in total miles)
The PR #117 is still under review, and yet to be merged. This will be addressed once we integrate this changes.
The 80th percentile chart seems to be the only one that does not have the "% of total trips" line in the bar labels, can you add it so it is consistent with the other charts?
Updated Chart for Under 80th percentile chart |
---|
@Abby-Wheelis @shankari There has been a lot of changes introduced since this PR was last updated. Also, there are a few rollback commits here. So, instead of merging these with the newer updates, I have decided to incorporate these changes in a new PR #145.
Test Scenario:
Dataset loaded:
openpath_prod_cortezebikes
&openpath_prod_usaid_laos_ev
docker-compose setup:
Execution of scripts for `energy_calculations`, `generic_metrics`, `generic_timeseries` and `mode_specific_timeseries` notebooks.
Generic Timeseries ``` (emission) root@038aa0a04710:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/update_mappings.py mapping_dictionaries.ipynb (emission) root@038aa0a04710:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py generic_timeseries.ipynb default /usr/src/app/saved-notebooks/bin/generate_plots.py:30: SyntaxWarning: "is not" with a literal. Did you mean "!="? if r.status_code is not 200: About to download config from https://raw.githubusercontent.com/e-mission/nrel-openpath-deploy-configs/main/configs/cortezebikes.nrel-op.json Successfully downloaded config with version 1 for Cortez 55+ eBike Program and data collection URL https://cortezebikes-openpath.nrel.gov/api/ label_options is unavailable for the dynamic_config in cortezebikes Running at 2024-04-08T10:51:42.351144+00:00 with args Namespace(plot_notebook='generic_timeseries.ipynb', program='default', date=None) for range (, )
Running at 2024-04-08T10:51:42.388267+00:00 with params [Parameter('year', int), Parameter('month', int), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:51:51.019951+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=6), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:51:57.050658+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=7), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:52:03.870046+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=8), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:52:10.652408+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=9), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:52:16.913490+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=10), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:52:23.671309+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=11), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:52:31.107099+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=12), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:52:37.774468+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=1), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:52:44.086618+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=2), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:52:49.974567+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=3), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:52:55.826877+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=4), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
```
Mode Specific Timeseries
```
(emission) root@038aa0a04710:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py mode_specific_timeseries.ipynb default
/usr/src/app/saved-notebooks/bin/generate_plots.py:30: SyntaxWarning: "is not" with a literal. Did you mean "!="?
if r.status_code is not 200:
About to download config from https://raw.githubusercontent.com/e-mission/nrel-openpath-deploy-configs/main/configs/cortezebikes.nrel-op.json
Successfully downloaded config with version 1 for Cortez 55+ eBike Program and data collection URL https://cortezebikes-openpath.nrel.gov/api/
label_options is unavailable for the dynamic_config in cortezebikes
Running at 2024-04-08T10:53:59.953298+00:00 with args Namespace(plot_notebook='mode_specific_timeseries.ipynb', program='default', date=None) for range (, )
Running at 2024-04-08T10:53:59.986064+00:00 with params [Parameter('year', int), Parameter('month', int), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:54:15.508127+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=6), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:54:23.829980+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=7), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:54:33.172350+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=8), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:54:42.309153+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=9), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:54:51.645116+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=10), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:55:01.004711+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=11), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:55:10.072507+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=12), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:55:18.948403+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=1), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:55:26.240539+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=2), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:55:33.416492+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=3), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:55:40.803762+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=4), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
```
Energy Calculations:
```
(emission) root@038aa0a04710:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py energy_calculations.ipynb default
/usr/src/app/saved-notebooks/bin/generate_plots.py:30: SyntaxWarning: "is not" with a literal. Did you mean "!="?
if r.status_code is not 200:
About to download config from https://raw.githubusercontent.com/e-mission/nrel-openpath-deploy-configs/main/configs/cortezebikes.nrel-op.json
Successfully downloaded config with version 1 for Cortez 55+ eBike Program and data collection URL https://cortezebikes-openpath.nrel.gov/api/
label_options is unavailable for the dynamic_config in cortezebikes
Running at 2024-04-08T10:56:15.621876+00:00 with args Namespace(plot_notebook='energy_calculations.ipynb', program='default', date=None) for range (, )
Running at 2024-04-08T10:56:15.661003+00:00 with params [Parameter('year', int), Parameter('month', int), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:56:21.786460+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=6), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:56:26.038191+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=7), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:56:30.782353+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=8), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:56:35.222316+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=9), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:56:39.650033+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=10), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:56:44.014215+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=11), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:56:48.250069+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=12), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:56:52.559431+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=1), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:56:56.832909+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=2), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:57:01.154644+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=3), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
Running at 2024-04-08T10:57:05.049871+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=4), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('is_debug_mode', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True)]
```
Generic Metrics notebooks:
```
(emission) root@057703777f44:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/update_mappings.py mapping_dictionaries.ipynb
(emission) root@057703777f44:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py generic_metrics.ipynb default
/usr/src/app/saved-notebooks/bin/generate_plots.py:30: SyntaxWarning: "is not" with a literal. Did you mean "!="?
if r.status_code is not 200:
About to download config from https://raw.githubusercontent.com/e-mission/nrel-openpath-deploy-configs/main/configs/cortezebikes.nrel-op.json
Successfully downloaded config with version 1 for Cortez 55+ eBike Program and data collection URL https://cortezebikes-openpath.nrel.gov/api/
label_options is unavailable for the dynamic_config in cortezebikes
Running at 2024-04-08T11:22:54.911281+00:00 with args Namespace(plot_notebook='generic_metrics.ipynb', program='default', date=None) for range (, )
Running at 2024-04-08T11:22:54.953016+00:00 with params [Parameter('year', int), Parameter('month', int), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:23:13.904960+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=6), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:23:28.700717+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=7), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:23:45.038579+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=8), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:24:00.197543+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=9), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:24:15.256795+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=10), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:24:30.147444+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=11), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:24:44.950058+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=12), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:24:58.902453+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=1), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:25:13.068264+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=2), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:25:26.259429+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=3), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:25:39.976348+00:00 with params [Parameter('year', int, value=2024), Parameter('month', int, value=4), Parameter('program', str, value='default'), Parameter('study_type', str, value='program'), Parameter('mode_of_interest', str, value='e-bike'), Parameter('include_test_users', bool, value=False), Parameter('dynamic_labels', dict, value={}), Parameter('use_imperial', bool, value=True), Parameter('sensed_algo_prefix', str, value='cleaned')]
```
Execution of notebook scripts: Generic Metrics and Generic Timeseries: For Laos
Generic Timeseries: ``` (emission) root@f779753ffc07:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/update_mappings.py mapping_dictionaries.ipynb (emission) root@f779753ffc07:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py generic_timeseries.ipynb default /usr/src/app/saved-notebooks/bin/generate_plots.py:30: SyntaxWarning: "is not" with a literal. Did you mean "!="? if r.status_code is not 200: About to download config from https://raw.githubusercontent.com/e-mission/nrel-openpath-deploy-configs/main/configs/usaid-laos-ev.nrel-op.json Successfully downloaded config with version 1 for USAID-NREL Support for Electric Vehicle Readiness and data collection URL https://USAID-laos-EV-openpath.nrel.gov/api/ Dynamic labels download was successful for nrel-openpath-deploy-configs: usaid-laos-ev Running at 2024-04-08T11:36:19.334927+00:00 with args Namespace(plot_notebook='generic_timeseries.ipynb', program='default', date=None) for range (, )
Running at 2024-04-08T11:36:19.369748+00:00 with params [Parameter('year', int), Parameter('month', int), Parameter('program', str, value='default'), Parameter('study_type', str, value='study'), Parameter('include_test_users', bool, value=True), Parameter('dynamic_labels', dict, value={'MODE': [{'value': 'walk', 'baseMode': 'WALKING', 'met_equivalent': 'WALKING', 'kgCo2PerKm': 0}, {'value': 'e-auto_rickshaw', 'baseMode': 'MOPED', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.085416859}, {'value': 'auto_rickshaw', 'baseMode': 'MOPED', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.231943784}, {'value': 'motorcycle', 'baseMode': 'MOPED', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.113143309}, {'value': 'e-bike', 'baseMode': 'E_BIKE', 'met': {'ALL': {'range': [0, -1], 'mets': 4.9}}, 'kgCo2PerKm': 0.00728}, {'value': 'bike', 'baseMode': 'BICYCLING', 'met_equivalent': 'BICYCLING', 'kgCo2PerKm': 0}, {'value': 'drove_alone', 'baseMode': 'CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.22031}, {'value': 'shared_ride', 'baseMode': 'CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.11015}, {'value': 'e_car_drove_alone', 'baseMode': 'E_CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.08216}, {'value': 'e_car_shared_ride', 'baseMode': 'E_CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.04108}, {'value': 'taxi', 'baseMode': 'TAXI', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.30741}, {'value': 'bus', 'baseMode': 'BUS', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.20727}, {'value': 'train', 'baseMode': 'TRAIN', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.12256}, {'value': 'free_shuttle', 'baseMode': 'BUS', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.20727}, {'value': 'air', 'baseMode': 'AIR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.09975}, {'value': 'not_a_trip', 'baseMode': 'UNKNOWN', 'met_equivalent': 'UNKNOWN', 'kgCo2PerKm': 0}, {'value': 'other', 'baseMode': 'OTHER', 'met_equivalent': 'UNKNOWN', 'kgCo2PerKm': 0}], 'PURPOSE': [{'value': 'home'}, {'value': 'work'}, {'value': 'at_work'}, {'value': 'school'}, {'value': 'transit_transfer'}, {'value': 'shopping'}, {'value': 'meal'}, {'value': 'pick_drop_person'}, {'value': 'pick_drop_item'}, {'value': 'personal_med'}, {'value': 'access_recreation'}, {'value': 'exercise'}, {'value': 'entertainment'}, {'value': 'religious'}, {'value': 'other'}], 'translations': {'en': {'walk': 'Walk', 'e-auto_rickshaw': 'E-tuk tuk', 'auto_rickshaw': 'Tuk Tuk', 'motorcycle': 'Motorcycle', 'e-bike': 'E-bike', 'bike': 'Bicycle', 'drove_alone': 'Car Drove Alone', 'shared_ride': 'Car Shared Ride', 'e_car_drove_alone': 'E-Car Drove Alone', 'e_car_shared_ride': 'E-Car Shared Ride', 'taxi': 'Taxi/Loca/inDrive', 'bus': 'Bus', 'train': 'Train', 'free_shuttle': 'Free Shuttle', 'air': 'Airplane', 'not_a_trip': 'Not a trip', 'home': 'Home', 'work': 'To Work', 'at_work': 'At Work', 'school': 'School', 'transit_transfer': 'Transit transfer', 'shopping': 'Shopping', 'meal': 'Meal', 'pick_drop_person': 'Pick-up/ Drop off Person', 'pick_drop_item': 'Pick-up/ Drop off Item', 'personal_med': 'Personal/ Medical', 'access_recreation': 'Access Recreation', 'exercise': 'Recreation/ Exercise', 'entertainment': 'Entertainment/ Social', 'religious': 'Religious', 'other': 'Other'}, 'lo': {'walk': 'ດ້ວຍການຍ່າງ', 'e-auto_rickshaw': 'ລົດ 3 ລໍ້ໄຟຟ້າ ຫລື ຕຸກຕຸກໄຟຟ້າ', 'auto_rickshaw': 'ເດີນທາດ້ວຍ ລົດຕຸກຕຸກ ຫລື ລົດສາມລໍ້', 'motorcycle': 'ລົດຈັກ', 'e-bike': 'ວຍລົດຈັກໄຟຟ້າ', 'bike': 'ລົດຖີບ', 'drove_alone': 'ເດີນທາງ ດ້ວຍລົດໃຫ່ຍ ເຊີ່ງເປັນລົດທີ່ຂັບເອງ', 'shared_ride': 'ເດີນທາງດ້ວຍລົດໃຫ່ຍ ຮ່ວມກັບລົດຄົນອຶ່ນ', 'e_car_drove_alone': 'ດ້ວຍການຂັບລົດໄຟຟ້າໄປເອງ', 'e_car_shared_ride': 'ດ້ວຍການຈ້າງລົດໄຟຟ້າໄປ', 'taxi': 'ແທັກຊີ', 'bus': 'ລົດເມ', 'train': 'ລົດໄຟ', 'free_shuttle': 'ລົດຮັບສົ່ງຟຣີ', 'air': 'ຍົນ', 'not_a_trip': 'ບໍ່ແມ່ນການເດີນທາງ', 'home': 'ບ້ານ', 'work': 'ໄປເຮັດວຽກ', 'at_work': 'ຢູ່ບ່ອນເຮັດວຽກ', 'school': 'ໄປໂຮງຮຽນ', 'transit_transfer': 'ການຖ່າຍໂອນການເດີນທາງ', 'shopping': 'ຊອບປິ້ງ', 'meal': 'ອາຫານ', 'pick_drop_person': 'ໄປຮັບ ຫລື ສົນ ຄົນ', 'pick_drop_item': 'ໄປຮັບ ຫລື ສົ່ງສິນຄ້າ', 'personal_med': 'ໄປຫາໝໍ', 'access_recreation': 'ເຂົ້າເຖິງການພັກຜ່ອນ', 'exercise': 'ພັກຜ່ອນ/ອອກກຳລັງກາຍ', 'entertainment': 'ບັນເທີງ/ສັງຄົມ', 'religious': 'ຈຸດປະສົງທາງສາດສະໜາ', 'other': 'ອື່ນໆ'}}}), Parameter('use_imperial', bool, value=False)]
```
Generic Metrics
```
(emission) root@f779753ffc07:/usr/src/app/saved-notebooks# PYTHONPATH=.. python bin/generate_plots.py generic_metrics.ipynb default
/usr/src/app/saved-notebooks/bin/generate_plots.py:30: SyntaxWarning: "is not" with a literal. Did you mean "!="?
if r.status_code is not 200:
About to download config from https://raw.githubusercontent.com/e-mission/nrel-openpath-deploy-configs/main/configs/usaid-laos-ev.nrel-op.json
Successfully downloaded config with version 1 for USAID-NREL Support for Electric Vehicle Readiness and data collection URL https://USAID-laos-EV-openpath.nrel.gov/api/
Dynamic labels download was successful for nrel-openpath-deploy-configs: usaid-laos-ev
Running at 2024-04-08T11:38:53.648015+00:00 with args Namespace(plot_notebook='generic_metrics.ipynb', program='default', date=None) for range (, )
Running at 2024-04-08T11:38:53.686866+00:00 with params [Parameter('year', int), Parameter('month', int), Parameter('program', str, value='default'), Parameter('study_type', str, value='study'), Parameter('mode_of_interest', str), Parameter('include_test_users', bool, value=True), Parameter('dynamic_labels', dict, value={'MODE': [{'value': 'walk', 'baseMode': 'WALKING', 'met_equivalent': 'WALKING', 'kgCo2PerKm': 0}, {'value': 'e-auto_rickshaw', 'baseMode': 'MOPED', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.085416859}, {'value': 'auto_rickshaw', 'baseMode': 'MOPED', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.231943784}, {'value': 'motorcycle', 'baseMode': 'MOPED', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.113143309}, {'value': 'e-bike', 'baseMode': 'E_BIKE', 'met': {'ALL': {'range': [0, -1], 'mets': 4.9}}, 'kgCo2PerKm': 0.00728}, {'value': 'bike', 'baseMode': 'BICYCLING', 'met_equivalent': 'BICYCLING', 'kgCo2PerKm': 0}, {'value': 'drove_alone', 'baseMode': 'CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.22031}, {'value': 'shared_ride', 'baseMode': 'CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.11015}, {'value': 'e_car_drove_alone', 'baseMode': 'E_CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.08216}, {'value': 'e_car_shared_ride', 'baseMode': 'E_CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.04108}, {'value': 'taxi', 'baseMode': 'TAXI', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.30741}, {'value': 'bus', 'baseMode': 'BUS', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.20727}, {'value': 'train', 'baseMode': 'TRAIN', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.12256}, {'value': 'free_shuttle', 'baseMode': 'BUS', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.20727}, {'value': 'air', 'baseMode': 'AIR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.09975}, {'value': 'not_a_trip', 'baseMode': 'UNKNOWN', 'met_equivalent': 'UNKNOWN', 'kgCo2PerKm': 0}, {'value': 'other', 'baseMode': 'OTHER', 'met_equivalent': 'UNKNOWN', 'kgCo2PerKm': 0}], 'PURPOSE': [{'value': 'home'}, {'value': 'work'}, {'value': 'at_work'}, {'value': 'school'}, {'value': 'transit_transfer'}, {'value': 'shopping'}, {'value': 'meal'}, {'value': 'pick_drop_person'}, {'value': 'pick_drop_item'}, {'value': 'personal_med'}, {'value': 'access_recreation'}, {'value': 'exercise'}, {'value': 'entertainment'}, {'value': 'religious'}, {'value': 'other'}], 'translations': {'en': {'walk': 'Walk', 'e-auto_rickshaw': 'E-tuk tuk', 'auto_rickshaw': 'Tuk Tuk', 'motorcycle': 'Motorcycle', 'e-bike': 'E-bike', 'bike': 'Bicycle', 'drove_alone': 'Car Drove Alone', 'shared_ride': 'Car Shared Ride', 'e_car_drove_alone': 'E-Car Drove Alone', 'e_car_shared_ride': 'E-Car Shared Ride', 'taxi': 'Taxi/Loca/inDrive', 'bus': 'Bus', 'train': 'Train', 'free_shuttle': 'Free Shuttle', 'air': 'Airplane', 'not_a_trip': 'Not a trip', 'home': 'Home', 'work': 'To Work', 'at_work': 'At Work', 'school': 'School', 'transit_transfer': 'Transit transfer', 'shopping': 'Shopping', 'meal': 'Meal', 'pick_drop_person': 'Pick-up/ Drop off Person', 'pick_drop_item': 'Pick-up/ Drop off Item', 'personal_med': 'Personal/ Medical', 'access_recreation': 'Access Recreation', 'exercise': 'Recreation/ Exercise', 'entertainment': 'Entertainment/ Social', 'religious': 'Religious', 'other': 'Other'}, 'lo': {'walk': 'ດ້ວຍການຍ່າງ', 'e-auto_rickshaw': 'ລົດ 3 ລໍ້ໄຟຟ້າ ຫລື ຕຸກຕຸກໄຟຟ້າ', 'auto_rickshaw': 'ເດີນທາດ້ວຍ ລົດຕຸກຕຸກ ຫລື ລົດສາມລໍ້', 'motorcycle': 'ລົດຈັກ', 'e-bike': 'ວຍລົດຈັກໄຟຟ້າ', 'bike': 'ລົດຖີບ', 'drove_alone': 'ເດີນທາງ ດ້ວຍລົດໃຫ່ຍ ເຊີ່ງເປັນລົດທີ່ຂັບເອງ', 'shared_ride': 'ເດີນທາງດ້ວຍລົດໃຫ່ຍ ຮ່ວມກັບລົດຄົນອຶ່ນ', 'e_car_drove_alone': 'ດ້ວຍການຂັບລົດໄຟຟ້າໄປເອງ', 'e_car_shared_ride': 'ດ້ວຍການຈ້າງລົດໄຟຟ້າໄປ', 'taxi': 'ແທັກຊີ', 'bus': 'ລົດເມ', 'train': 'ລົດໄຟ', 'free_shuttle': 'ລົດຮັບສົ່ງຟຣີ', 'air': 'ຍົນ', 'not_a_trip': 'ບໍ່ແມ່ນການເດີນທາງ', 'home': 'ບ້ານ', 'work': 'ໄປເຮັດວຽກ', 'at_work': 'ຢູ່ບ່ອນເຮັດວຽກ', 'school': 'ໄປໂຮງຮຽນ', 'transit_transfer': 'ການຖ່າຍໂອນການເດີນທາງ', 'shopping': 'ຊອບປິ້ງ', 'meal': 'ອາຫານ', 'pick_drop_person': 'ໄປຮັບ ຫລື ສົນ ຄົນ', 'pick_drop_item': 'ໄປຮັບ ຫລື ສົ່ງສິນຄ້າ', 'personal_med': 'ໄປຫາໝໍ', 'access_recreation': 'ເຂົ້າເຖິງການພັກຜ່ອນ', 'exercise': 'ພັກຜ່ອນ/ອອກກຳລັງກາຍ', 'entertainment': 'ບັນເທີງ/ສັງຄົມ', 'religious': 'ຈຸດປະສົງທາງສາດສະໜາ', 'other': 'ອື່ນໆ'}}}), Parameter('use_imperial', bool, value=False), Parameter('sensed_algo_prefix', str, value='cleaned')]
Running at 2024-04-08T11:39:06.736910+00:00 with params [Parameter('year', int, value=2023), Parameter('month', int, value=5), Parameter('program', str, value='default'), Parameter('study_type', str, value='study'), Parameter('mode_of_interest', str), Parameter('include_test_users', bool, value=True), Parameter('dynamic_labels', dict, value={'MODE': [{'value': 'walk', 'baseMode': 'WALKING', 'met_equivalent': 'WALKING', 'kgCo2PerKm': 0}, {'value': 'e-auto_rickshaw', 'baseMode': 'MOPED', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.085416859}, {'value': 'auto_rickshaw', 'baseMode': 'MOPED', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.231943784}, {'value': 'motorcycle', 'baseMode': 'MOPED', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.113143309}, {'value': 'e-bike', 'baseMode': 'E_BIKE', 'met': {'ALL': {'range': [0, -1], 'mets': 4.9}}, 'kgCo2PerKm': 0.00728}, {'value': 'bike', 'baseMode': 'BICYCLING', 'met_equivalent': 'BICYCLING', 'kgCo2PerKm': 0}, {'value': 'drove_alone', 'baseMode': 'CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.22031}, {'value': 'shared_ride', 'baseMode': 'CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.11015}, {'value': 'e_car_drove_alone', 'baseMode': 'E_CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.08216}, {'value': 'e_car_shared_ride', 'baseMode': 'E_CAR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.04108}, {'value': 'taxi', 'baseMode': 'TAXI', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.30741}, {'value': 'bus', 'baseMode': 'BUS', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.20727}, {'value': 'train', 'baseMode': 'TRAIN', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.12256}, {'value': 'free_shuttle', 'baseMode': 'BUS', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.20727}, {'value': 'air', 'baseMode': 'AIR', 'met_equivalent': 'IN_VEHICLE', 'kgCo2PerKm': 0.09975}, {'value': 'not_a_trip', 'baseMode': 'UNKNOWN', 'met_equivalent': 'UNKNOWN', 'kgCo2PerKm': 0}, {'value': 'other', 'baseMode': 'OTHER', 'met_equivalent': 'UNKNOWN', 'kgCo2PerKm': 0}], 'PURPOSE': [{'value': 'home'}, {'value': 'work'}, {'value': 'at_work'}, {'value': 'school'}, {'value': 'transit_transfer'}, {'value': 'shopping'}, {'value': 'meal'}, {'value': 'pick_drop_person'}, {'value': 'pick_drop_item'}, {'value': 'personal_med'}, {'value': 'access_recreation'}, {'value': 'exercise'}, {'value': 'entertainment'}, {'value': 'religious'}, {'value': 'other'}], 'translations': {'en': {'walk': 'Walk', 'e-auto_rickshaw': 'E-tuk tuk', 'auto_rickshaw': 'Tuk Tuk', 'motorcycle': 'Motorcycle', 'e-bike': 'E-bike', 'bike': 'Bicycle', 'drove_alone': 'Car Drove Alone', 'shared_ride': 'Car Shared Ride', 'e_car_drove_alone': 'E-Car Drove Alone', 'e_car_shared_ride': 'E-Car Shared Ride', 'taxi': 'Taxi/Loca/inDrive', 'bus': 'Bus', 'train': 'Train', 'free_shuttle': 'Free Shuttle', 'air': 'Airplane', 'not_a_trip': 'Not a trip', 'home': 'Home', 'work': 'To Work', 'at_work': 'At Work', 'school': 'School', 'transit_transfer': 'Transit transfer', 'shopping': 'Shopping', 'meal': 'Meal', 'pick_drop_person': 'Pick-up/ Drop off Person', 'pick_drop_item': 'Pick-up/ Drop off Item', 'personal_med': 'Personal/ Medical', 'access_recreation': 'Access Recreation', 'exercise': 'Recreation/ Exercise', 'entertainment': 'Entertainment/ Social', 'religious': 'Religious', 'other': 'Other'}, 'lo': {'walk': 'ດ້ວຍການຍ່າງ', 'e-auto_rickshaw': 'ລົດ 3 ລໍ້ໄຟຟ້າ ຫລື ຕຸກຕຸກໄຟຟ້າ', 'auto_rickshaw': 'ເດີນທາດ້ວຍ ລົດຕຸກຕຸກ ຫລື ລົດສາມລໍ້', 'motorcycle': 'ລົດຈັກ', 'e-bike': 'ວຍລົດຈັກໄຟຟ້າ', 'bike': 'ລົດຖີບ', 'drove_alone': 'ເດີນທາງ ດ້ວຍລົດໃຫ່ຍ ເຊີ່ງເປັນລົດທີ່ຂັບເອງ', 'shared_ride': 'ເດີນທາງດ້ວຍລົດໃຫ່ຍ ຮ່ວມກັບລົດຄົນອຶ່ນ', 'e_car_drove_alone': 'ດ້ວຍການຂັບລົດໄຟຟ້າໄປເອງ', 'e_car_shared_ride': 'ດ້ວຍການຈ້າງລົດໄຟຟ້າໄປ', 'taxi': 'ແທັກຊີ', 'bus': 'ລົດເມ', 'train': 'ລົດໄຟ', 'free_shuttle': 'ລົດຮັບສົ່ງຟຣີ', 'air': 'ຍົນ', 'not_a_trip': 'ບໍ່ແມ່ນການເດີນທາງ', 'home': 'ບ້ານ', 'work': 'ໄປເຮັດວຽກ', 'at_work': 'ຢູ່ບ່ອນເຮັດວຽກ', 'school': 'ໄປໂຮງຮຽນ', 'transit_transfer': 'ການຖ່າຍໂອນການເດີນທາງ', 'shopping': 'ຊອບປິ້ງ', 'meal': 'ອາຫານ', 'pick_drop_person': 'ໄປຮັບ ຫລື ສົນ ຄົນ', 'pick_drop_item': 'ໄປຮັບ ຫລື ສົ່ງສິນຄ້າ', 'personal_med': 'ໄປຫາໝໍ', 'access_recreation': 'ເຂົ້າເຖິງການພັກຜ່ອນ', 'exercise': 'ພັກຜ່ອນ/ອອກກຳລັງກາຍ', 'entertainment': 'ບັນເທີງ/ສັງຄົມ', 'religious': 'ຈຸດປະສົງທາງສາດສະໜາ', 'other': 'ອື່ນໆ'}}}), Parameter('use_imperial', bool, value=False), Parameter('sensed_algo_prefix', str, value='cleaned')]
```
`Mode_specific_metrics` and `energy_calculations` are not being generated since this is `STUDY`.
Result: