mod radar
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@ -31,8 +31,8 @@ texenv = jinja2.Environment(
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from .filters import includegraphics
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from .filters import includegraphics
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texenv.filters['includegraphics'] = includegraphics
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texenv.filters['includegraphics'] = includegraphics
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from notes_tools.tools.marks_plottings import comp_radar, marks_hist
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from notes_tools.tools.marks_plottings import radar_on, marks_hist
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texenv.filters['comp_radar'] = comp_radar
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texenv.filters['radar_on'] = radar_on
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texenv.filters['marks_hist'] = marks_hist
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texenv.filters['marks_hist'] = marks_hist
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def feed_template(target, datas, template):
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def feed_template(target, datas, template):
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@ -5,15 +5,15 @@ from .plottings import radar_graph
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import pandas as pd
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import pandas as pd
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import numpy as np
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import numpy as np
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def comp_radar(df, optimum = None):
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def radar_on(df, index, optimum = None):
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""" Plot the radar graph concerning "Competence" column of the df
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""" Plot the radar graph concerning index column of the df
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:param df: DataFrame with "Competence", "Normalized"
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:param df: DataFrame with index and "Normalized" column
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:returns: exes with radar plot
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:returns: exes with radar plot
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"""
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"""
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comp_pt = pd.pivot_table(df,
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comp_pt = pd.pivot_table(df,
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index = ["Competence"],
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index = [index],
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values = ["Normalized"],
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values = ["Normalized"],
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aggfunc=np.mean,
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aggfunc=np.mean,
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)
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)
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