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Fill some column nan with ""

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Benjamin Bertrand
2017-03-29 05:28:51 +03:00
parent 328c960669
commit ac64e5e44c
2 changed files with 10 additions and 1 deletions
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6
notes_tools/tools/df_marks_manip.py
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@@ -7,7 +7,7 @@ from math import ceil, floor
import logging import logging
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
NOANSWER = "na" NOANSWER = "."
NORATED = "" NORATED = ""
# Values manipulations # Values manipulations
@@ -479,6 +479,10 @@ def digest_flat_df(flat_df):
""" """
df = flat_df.dropna(subset=["Note"]) df = flat_df.dropna(subset=["Note"])
df["Question"].fillna("", inplace = True)
df["Exercice"].fillna("", inplace = True)
df["Domaine"].fillna("", inplace = True)
df["Competence"].fillna("", inplace = True)
df["Mark"] = compute_marks(df) df["Mark"] = compute_marks(df)
df["Level"] = compute_level(df) df["Level"] = compute_level(df)
df["Latex_rep"] = compute_latex_rep(df) df["Latex_rep"] = compute_latex_rep(df)

5
notes_tools/tools/extract.py
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@@ -132,6 +132,11 @@ def extract_flat_marks(ws,
flat = flat_df_students(sheet, students) flat = flat_df_students(sheet, students)
flat_df = pd.concat([flat_df, flat]) flat_df = pd.concat([flat_df, flat])
flat_df["Question"].fillna("", inplace = True)
flat_df["Exercice"].fillna("", inplace = True)
flat_df["Commentaire"].fillna("", inplace = True)
flat_df["Competence"].fillna("", inplace = True)
return flat_df return flat_df