format: black formating
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@ -17,7 +17,7 @@ def try_replace(x, old, new):
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def extract_students(df, no_student_columns=NO_ST_COLUMNS.values()):
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""" Extract the list of students from df
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"""Extract the list of students from df
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:param df: the dataframe
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:param no_student_columns: columns that are not students
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@ -30,7 +30,7 @@ def extract_students(df, no_student_columns=NO_ST_COLUMNS.values()):
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def flat_df_students(
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df, no_student_columns=NO_ST_COLUMNS.values(), postprocessing=True
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):
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""" Flat the dataframe by returning a dataframe with on student on each line
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"""Flat the dataframe by returning a dataframe with on student on each line
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:param df: the dataframe (one row per questions)
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:param no_student_columns: columns that are not students
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@ -63,7 +63,7 @@ def flat_df_students(
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def flat_df_for(
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df, student, no_student_columns=NO_ST_COLUMNS.values(), postprocessing=True
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):
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""" Extract the data only for one student
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"""Extract the data only for one student
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:param df: the dataframe (one row per questions)
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:param no_student_columns: columns that are not students
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@ -88,7 +88,7 @@ def flat_df_for(
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def postprocess(df):
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""" Postprocessing score dataframe
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"""Postprocessing score dataframe
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- Replace na with an empty string
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- Replace "NOANSWER" with -1
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