forked from ScoDoc/ScoDoc
Update opolka/ScoDoc from ScoDoc/ScoDoc #2
@ -344,8 +344,12 @@ def compute_ue_moys_classic(
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pd.Series(
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pd.Series(
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[val] * len(modimpl_inscr_df.index), index=modimpl_inscr_df.index
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[val] * len(modimpl_inscr_df.index), index=modimpl_inscr_df.index
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),
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),
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pd.DataFrame(columns=[ue.id for ue in ues], index=modimpl_inscr_df.index),
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pd.DataFrame(
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pd.DataFrame(columns=[ue.id for ue in ues], index=modimpl_inscr_df.index),
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columns=[ue.id for ue in ues], index=modimpl_inscr_df.index, dtype=float
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),
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pd.DataFrame(
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columns=[ue.id for ue in ues], index=modimpl_inscr_df.index, dtype=float
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),
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)
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)
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# Restreint aux modules sélectionnés:
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# Restreint aux modules sélectionnés:
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sem_matrix = sem_matrix[:, modimpl_mask]
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sem_matrix = sem_matrix[:, modimpl_mask]
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@ -400,6 +404,7 @@ def compute_ue_moys_classic(
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},
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},
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index=modimpl_inscr_df.index,
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index=modimpl_inscr_df.index,
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columns=[ue.id for ue in ues],
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columns=[ue.id for ue in ues],
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dtype=float,
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)
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)
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# remplace NaN par zéros dans les moyennes d'UE
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# remplace NaN par zéros dans les moyennes d'UE
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etud_moy_ue_df_no_nan = etud_moy_ue_df.fillna(0.0, inplace=False)
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etud_moy_ue_df_no_nan = etud_moy_ue_df.fillna(0.0, inplace=False)
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@ -415,6 +420,7 @@ def compute_ue_moys_classic(
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coefs.sum(axis=2).T,
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coefs.sum(axis=2).T,
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index=modimpl_inscr_df.index, # etudids
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index=modimpl_inscr_df.index, # etudids
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columns=[ue.id for ue in ues],
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columns=[ue.id for ue in ues],
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dtype=float,
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)
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)
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with np.errstate(invalid="ignore"): # ignore les 0/0 (-> NaN)
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with np.errstate(invalid="ignore"): # ignore les 0/0 (-> NaN)
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etud_moy_gen = np.sum(
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etud_moy_gen = np.sum(
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