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forked from ScoDoc/ScoDoc

Robustifie calculs stats sur types exotiques / 9.1.51

This commit is contained in:
Emmanuel Viennet 2022-02-11 10:30:24 +01:00
parent f62286cf0e
commit 49ef7edd26
2 changed files with 12 additions and 9 deletions

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@ -20,15 +20,18 @@ class StatsMoyenne:
"""Calcul les statistiques.
Les valeurs NAN ou non numériques sont toujours enlevées.
Si vals is None, renvoie des zéros (utilisé pour UE bonus)
"""
if vals is None or len(vals) == 0:
"""sco_ver
try:
if vals is None or len(vals) == 0 or np.isnan(vals).all():
self.moy = self.min = self.max = self.size = self.nb_vals = 0
else:
self.moy = np.nanmean(vals)
self.min = np.nanmin(vals)
self.max = np.nanmax(vals)
self.size = len(vals)
self.nb_vals = self.size - np.count_nonzero(np.isnan(vals))
except TypeError: # que des NaN dans un array d'objets, ou ce genre de choses exotiques...
self.moy = self.min = self.max = self.size = self.nb_vals = 0
else:
self.moy = np.nanmean(vals)
self.min = np.nanmin(vals)
self.max = np.nanmax(vals)
self.size = len(vals)
self.nb_vals = self.size - np.count_nonzero(np.isnan(vals))
def to_dict(self):
"Tous les attributs dans un dict"

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@ -1,7 +1,7 @@
# -*- mode: python -*-
# -*- coding: utf-8 -*-
SCOVERSION = "9.1.50"
SCOVERSION = "9.1.51"
SCONAME = "ScoDoc"