-
Notifications
You must be signed in to change notification settings - Fork 2
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge branch '514-scorecards-import' into staging
- Loading branch information
Showing
4 changed files
with
219 additions
and
21 deletions.
There are no files selected for viewing
167 changes: 167 additions & 0 deletions
167
hub/management/commands/import_council_scorecards_score.py
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,167 @@ | ||
| from django.conf import settings | ||
|
|
||
| import pandas as pd | ||
| from tqdm import tqdm | ||
|
|
||
| from hub.import_utils import filter_authority_type | ||
| from hub.models import DataSet, DataType | ||
|
|
||
| from .base_importers import BaseImportFromDataFrameCommand, MultipleAreaTypesMixin | ||
|
|
||
| declare_map = { | ||
| "Y": "Yes", | ||
| "N": "No", | ||
| } | ||
|
|
||
|
|
||
| class Command(MultipleAreaTypesMixin, BaseImportFromDataFrameCommand): | ||
| cons_row = "gss_code" | ||
| message = "Importing council scorecards data" | ||
| uses_gss = True | ||
| do_not_convert = True | ||
|
|
||
| data_file = settings.BASE_DIR / "data" / "2023_scorecards_data.csv" | ||
|
|
||
| area_types = ["STC", "DIS"] | ||
|
|
||
| defaults = { | ||
| "label": "Council Climate Action Scorecard", | ||
| "description": "", | ||
| "data_type": "percent", | ||
| "category": "place", | ||
| "release_date": "2023", | ||
| "source_label": "Data from Climate Emergency UK.", | ||
| "source": "https://councilclimatescorecards.uk/", | ||
| "source_type": "csv", | ||
| "table": "areadata", | ||
| "data_url": "", | ||
| "comparators": DataSet.numerical_comparators(), | ||
| "is_filterable": True, | ||
| "is_shadable": True, | ||
| "is_public": True, | ||
| "unit_type": "raw", | ||
| "unit_distribution": "physical_area", | ||
| } | ||
|
|
||
| data_sets = { | ||
| "council_action_scorecard_total": { | ||
| "defaults": defaults, | ||
| "col": "weighted_total", | ||
| }, | ||
| "council_action_scorecard_bh": { | ||
| "defaults": { | ||
| **defaults, | ||
| "label": "Buildings & Heating", | ||
| }, | ||
| "col": "Buildings & Heating", | ||
| }, | ||
| "council_action_scorecard_transport": { | ||
| "defaults": { | ||
| **defaults, | ||
| "label": "Transport", | ||
| }, | ||
| "col": "Transport", | ||
| }, | ||
| "council_action_scorecard_planning": { | ||
| "defaults": { | ||
| **defaults, | ||
| "label": "Planning & Land Use", | ||
| }, | ||
| "col": "Planning & Land Use", | ||
| }, | ||
| "council_action_scorecard_governance": { | ||
| "defaults": { | ||
| **defaults, | ||
| "label": "Goverance & Finance", | ||
| }, | ||
| "col": "Governance & Finance", | ||
| }, | ||
| "council_action_scorecard_biodiversity": { | ||
| "defaults": { | ||
| **defaults, | ||
| "label": "Biodiversity", | ||
| }, | ||
| "col": "Biodiversity", | ||
| }, | ||
| "council_action_scorecard_collaboration": { | ||
| "defaults": { | ||
| **defaults, | ||
| "label": "Collaboration & Engagement", | ||
| }, | ||
| "col": "Collaboration & Engagement", | ||
| }, | ||
| "council_action_scorecard_waste": { | ||
| "defaults": { | ||
| **defaults, | ||
| "label": "Waste Reduction & Food", | ||
| }, | ||
| "col": "Waste Reduction & Food", | ||
| }, | ||
| } | ||
|
|
||
| # do not want to calculate averages as the comparisons are only relevant | ||
| # to councils of the same type | ||
| def update_averages(self): | ||
| pass | ||
|
|
||
| def add_data_sets(self, df): | ||
| if not self._quiet: | ||
| self.stdout.write("Creating dataset + types") | ||
|
|
||
| total_data_set, created = DataSet.objects.update_or_create( | ||
| name="council_action_scorecard_total", defaults=self.defaults | ||
| ) | ||
|
|
||
| section_data_set, created = DataSet.objects.update_or_create( | ||
| name="council_action_scorecard_sections", | ||
| defaults={ | ||
| **self.defaults, | ||
| "is_range": True, | ||
| "label": "Action Scorecards section scores", | ||
| }, | ||
| ) | ||
|
|
||
| total_data_set.areas_available.add(self.get_area_type()) | ||
| section_data_set.areas_available.add(self.get_area_type()) | ||
|
|
||
| for name in tqdm(self.data_sets.keys()): | ||
| if name == "council_action_scorecard_total": | ||
| data_set = total_data_set | ||
| else: | ||
| data_set = section_data_set | ||
|
|
||
| data_type, created = DataType.objects.update_or_create( | ||
| data_set=data_set, | ||
| name=name, | ||
| area_type=self.get_area_type(), | ||
| defaults={ | ||
| "data_type": "percent", | ||
| "label": self.data_sets[name]["defaults"]["label"], | ||
| }, | ||
| ) | ||
| self.data_types[name] = data_type | ||
|
|
||
| def get_dataframe(self): | ||
| df = pd.read_csv(self.data_file) | ||
| df = filter_authority_type(df, self.area_type, "gss") | ||
|
|
||
| councils = [] | ||
| for index, row in df.iterrows(): | ||
| councils.append( | ||
| { | ||
| "gss_code": row["gss"], | ||
| "weighted_total": row["weighted_total"] * 100, | ||
| "Buildings & Heating": row["Buildings & Heating"] * 100, | ||
| "Transport": row["Transport"] * 100, | ||
| "Governance & Finance": row["Governance & Finance"] * 100, | ||
| "Biodiversity": row["Biodiversity"] * 100, | ||
| "Planning & Land Use": row["Planning & Land Use"] * 100, | ||
| "Waste Reduction & Food": row["Waste Reduction & Food"] * 100, | ||
| "Collaboration & Engagement": row["Collaboration & Engagement"] | ||
| * 100, | ||
| } | ||
| ) | ||
|
|
||
| df = pd.DataFrame(councils) | ||
|
|
||
| return df |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,35 @@ | ||
| {% load hub_filters %} | ||
| {% if dataset.name.lower == "action scorecards section scores" %} | ||
| <table class="table mb-0 mt-2" data-chart-type="bar" data-chart-direction="y"> | ||
| <tbody> | ||
| {% for row in dataset.data %} | ||
| <tr> | ||
| <th> | ||
| {{ row.label|html_format_dataset_name|safe }} | ||
| </th> | ||
| <td>{{ row.value|floatformat:"0" }}%</td> | ||
| </tr> | ||
| {% endfor %} | ||
| </tbody> | ||
| {% else %} | ||
| <table class="table mb-0 js-chart" data-chart-type="bar" data-chart-direction="y"> | ||
| <thead> | ||
| <tr> | ||
| <th scope="col"></th> | ||
| <th scope="col" data-color="#068670">This area</th> | ||
| <th scope="col" data-color="#ced4da">National average</th> | ||
| </tr> | ||
| </thead> | ||
| <tbody> | ||
| {% for row in dataset.data %} | ||
| <tr> | ||
| <th> | ||
| {{ row.label|html_format_dataset_name|safe }} | ||
| </th> | ||
| <td>{{ row.value|floatformat }}%</td> | ||
| <td>{{ row.average|floatformat }}%</td> | ||
| </tr> | ||
| {% endfor %} | ||
| </tbody> | ||
| {% endif %} | ||
| </table> |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters