Fill some column nan with ""
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328c960669
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@ -7,7 +7,7 @@ from math import ceil, floor
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import logging
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logger = logging.getLogger(__name__)
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NOANSWER = "na"
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NOANSWER = "."
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NORATED = ""
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# Values manipulations
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@ -479,6 +479,10 @@ def digest_flat_df(flat_df):
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"""
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df = flat_df.dropna(subset=["Note"])
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df["Question"].fillna("", inplace = True)
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df["Exercice"].fillna("", inplace = True)
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df["Domaine"].fillna("", inplace = True)
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df["Competence"].fillna("", inplace = True)
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df["Mark"] = compute_marks(df)
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df["Level"] = compute_level(df)
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df["Latex_rep"] = compute_latex_rep(df)
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@ -132,6 +132,11 @@ def extract_flat_marks(ws,
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flat = flat_df_students(sheet, students)
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flat_df = pd.concat([flat_df, flat])
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flat_df["Question"].fillna("", inplace = True)
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flat_df["Exercice"].fillna("", inplace = True)
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flat_df["Commentaire"].fillna("", inplace = True)
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flat_df["Competence"].fillna("", inplace = True)
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return flat_df
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