TheCloud/PronounsPage
1
0
Fork 0
mirror of https://gitlab.com/PronounsPage/PronounsPage.git synced 2025-09-24 05:05:20 -04:00
Code Issues Packages Projects Releases Wiki Activity

(pl)(census) update python script for 2024 questions

Browse Source
This commit is contained in:
Andrea Vos 2024-02-25 13:31:24 +00:00
parent ef69fd23f4
commit 68bdf2a41f
1 changed files with 27 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

30
census/analyse.py
View File

@ -183,7 +183,14 @@ def analyse(group: str, df: pd.DataFrame, echo: bool = False, diffs: List[str] =
'namesAggr': extractQuestion(df, 16, includeAnswers=False, includeAggregates=True),
'english': extractQuestion(df, 17, includeAggregates=True),
'labelsGender': extractQuestion(df, 18, includeAggregates=True, removeUnderscores=False),
'labelsSexuality': extractQuestion(df, 19, includeAggregates=True, removeUnderscores=False),
'labelsSexuality': extractQuestion(df, 20, includeAggregates=True, removeUnderscores=False),
'labelsRomantic': extractQuestion(df, 21, includeAggregates=True, removeUnderscores=False),
'transitionSocial': extractQuestionSingle(df, 23),
'transitionName': extractQuestionSingle(df, 24),
'transitionMarker': extractQuestionSingle(df, 25),
'transitionPhysical': extractQuestionSingle(df, 26),
'transitionHormonal': extractQuestionSingle(df, 27),
'transitionMedical': extractQuestionSingle(df, 28),
}
stats_json = {
@ -194,7 +201,10 @@ def analyse(group: str, df: pd.DataFrame, echo: bool = False, diffs: List[str] =
stats_json['diff'] = {}
for prev_year in (diffs or []):
with open(outputDir.parent / prev_year / group / 'stats.json', 'r') as f:
file_path = outputDir.parent / prev_year / group / 'stats.json'
if not file_path.exists():
continue
with open(file_path, 'r') as f:
prev_stats = json.load(f)
stats_json['diff'][prev_year] = {}
for k, v in stats_json.items():
@ -246,7 +256,7 @@ if __name__ == '__main__':
df.loc[:, 'age'] = year - df['3_']
df.loc[df['age'] > 100, 'age'] = None
diffs = ['spis-2022']
diffs = ['spis-2022', 'spis-2023']
print(df)
@ -257,6 +267,8 @@ if __name__ == '__main__':
'agab_f': analyse('agab_f', df[df['1_'] == 'żeńską'], args.echo, diffs),
'agab_m': analyse('agab_m', df[df['1_'] == 'męską'], args.echo, diffs),
# 'agab_x': analyse('agab_x', df[df['1_'] == 'inną (w jurysdykcjach, gdzie to możliwe)'], args.echo, diffs),
'younger': analyse('younger', df[df['age'] < 25], args.echo, diffs),
'older': analyse('older', df[df['age'] >= 25], args.echo, diffs),
}
comparisons = {
@ -270,6 +282,11 @@ if __name__ == '__main__':
'agab_f': 'AFAB',
'agab_m': 'AMAB',
},
'by_age': {
'general': 'Ogół',
'younger': 'Młodsze',
'older': 'Starsze',
},
}
graphs = {
@ -290,6 +307,13 @@ if __name__ == '__main__':
'english': 'Zaimki w języku angielskim',
'labelsGender': 'Etykietki opisujące płeć',
'labelsSexuality': 'Etykietki opisujące orientację seksualną',
'labelsRomantic': 'Etykietki opisujące orientację romantyczną',
'transitionSocial': 'Tranzycja społeczna',
'transitionName': 'Tranzycja prawna – imię',
'transitionMarker': 'Tranzycja prawna – znacznik płci',
'transitionPhysical': 'Tranzycja medyczna – bindery, packery, itp.',
'transitionHormonal': 'Tranzycja medyczna – hormony',
'transitionMedical': 'Tranzycja medyczna – zmiany chirurgiczne',
}
for group, group_stats in stats.items():