Add a python data-analysis tool to extract statistical metrics from the raw measurements

scripts/textometry/measure-partition.py

+#!/usr/bin/env -S PYTHONPATH=lib/python python3
+
+from GEODE import tabular
+from GEODE.Store import prepare
+import os
+import pandas
+import sys
+
+def keyOf(t):
+    if type(t) == tuple:
+        return tuple(map(lambda s: s.strip(':'), t))
+    else:
+        return t.strip(':')
+
+def getStats(series):
+    columns = ['mean', 'std', 'min', '25%', '50%', '75%', 'max']
+    return series.describe()[columns]
+
+def partitonStats(metric, partition):
+    groups = {keyOf(p[0]): p[1] for p in partition}
+    byGroup = {g: getStats(groups[g][metric]) for g in groups}
+    stats = pandas.DataFrame(byGroup).transpose()
+    total = [groups[g][metric].sum() for g in groups]
+    stats['total'] = total
+    cardinal = stats['total'].sum()
+    stats['percentage'] = [f"{round(100*t/cardinal, 2)}%" for t in total]
+    return stats
+
+def measurePartition(path, key, metric, outputPath):
+    measures = tabular(path)
+    measures['count'] = 1
+    groups = measures.groupby(key)
+    stats = partitonStats(metric, measures.groupby(key))
+    stats.to_csv(f"{outputPath}", sep='\t')
+
+if __name__ == '__main__':
+    measurePartition(*sys.argv[1:])