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(pl)(census) raport 2024 – WIP

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This commit is contained in:
Andrea Vos 2024-03-10 15:29:05 +01:00
parent 0f17885c06
commit 2faf01072f
1 changed files with 34 additions and 32 deletions
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66
census/analyse.py
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@ -317,44 +317,46 @@ if __name__ == '__main__':
'transitionSurgical': 'Tranzycja medyczna – zmiany chirurgiczne',
}
for group, group_stats in stats.items():
for graph, graph_label in graphs.items():
generateBar(group_stats[graph], group, graph, graph_label)
for comparison_key, comparison_groups in comparisons.items():
ensureEmptyDir(outputDir / comparison_key)
for graph, graph_label in graphs.items():
data = pd.DataFrame({
groupLabel: stats[group][graph]
for group, groupLabel
in comparison_groups.items()
})
generateBar(data, comparison_key, graph, graph_label)
by_year = {}
for prev_year in [*diffs, year]:
file_path = outputDir.parent / f'spis-{prev_year}' / 'general' / 'stats.json'
if not file_path.exists():
continue
with open(file_path, 'r') as f:
by_year[prev_year] = json.load(f)
ensureEmptyDir(outputDir / 'by_year')
for graph, graph_label in graphs.items():
data = pd.DataFrame({
column_year: year_data[graph]
for column_year, year_data
in by_year.items()
if graph in year_data
})
generateBar(data, 'by_year', graph, graph_label)
# for group, group_stats in stats.items():
# for graph, graph_label in graphs.items():
# generateBar(group_stats[graph], group, graph, graph_label)
#
# for comparison_key, comparison_groups in comparisons.items():
# ensureEmptyDir(outputDir / comparison_key)
# for graph, graph_label in graphs.items():
# data = pd.DataFrame({
# groupLabel: stats[group][graph]
# for group, groupLabel
# in comparison_groups.items()
# })
# generateBar(data, comparison_key, graph, graph_label)
#
# by_year = {}
# for prev_year in [*diffs, year]:
# file_path = outputDir.parent / f'spis-{prev_year}' / 'general' / 'stats.json'
# if not file_path.exists():
# continue
# with open(file_path, 'r') as f:
# by_year[prev_year] = json.load(f)
#
# ensureEmptyDir(outputDir / 'by_year')
# for graph, graph_label in graphs.items():
# data = pd.DataFrame({
# column_year: year_data[graph]
# for column_year, year_data
# in by_year.items()
# if graph in year_data
# })
# generateBar(data, 'by_year', graph, graph_label)
write_ins_dir = outputDir / 'write_ins'
write_ins_dir.mkdir(parents=True, exist_ok=True)
for column in df.columns:
if not column.endswith('__writein'):
if not column.endswith('__writein') and column != '29_':
continue
print(f'Extracting write-ins for question {column}')
writeins = df[column].dropna().value_counts().reset_index()
writeins.columns = ['write-in', 'count']
writeins = writeins[['count', 'write-in']]