Remove try:... for plots to free memory
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db4d6c2b79
commit
2acdcc64b0
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@ -4,6 +4,7 @@
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from uuid import uuid4
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from path import Path
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import logging
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import matplotlib.pyplot as plt
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logger = logging.getLogger(__name__)
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def includegraphics(fig_ax, document_path="./", fig_path="fig/",
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@ -34,6 +35,7 @@ def includegraphics(fig_ax, document_path="./", fig_path="fig/",
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fig.tight_layout()
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fig.savefig(path_to_file/filename)
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logger.info("Graphique {} sauvé à {}".format(filename, path_to_file))
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plt.close(fig)
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return "\includegraphics[scale={sc}]{{{f}}}".format(sc = scale,
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f=Path(fig_path)/filename)
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@ -50,9 +50,12 @@ Compétences
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\vfill
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\Var{e.pies_on_competence | includegraphics(document_path=directory, scale=0.3)}
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\Var{e.pies_on_domaine | includegraphics(document_path=directory, scale=0.3)}
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\Var{e.heatmap_on_competence | includegraphics(document_path=directory, scale=0.6)}
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\Var{e.heatmap_on_domain | includegraphics(document_path=directory, scale=0.6)}
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%# \Var{e.pies_on_competence | includegraphics(document_path=directory, scale=0.3)}
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%# \Var{e.pies_on_domaine | includegraphics(document_path=directory, scale=0.3)}
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%#\Var{conn_df}
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@ -102,68 +102,48 @@ class Student(object):
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@property
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def pies_on_competence(self):
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""" Pies chart on competences """
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try:
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self._pies_on_competence
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except AttributeError:
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self._pies_on_competence = pie_pivot_table(self.quest_df,
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index = "Level",
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columns = "Competence",
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values = "Eleve",
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aggfunc = len,
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fill_value = 0,
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)
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return self._pies_on_competence
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return pie_pivot_table(self.quest_df,
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index = "Level",
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columns = "Competence",
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values = "Eleve",
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aggfunc = len,
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fill_value = 0,
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)
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@property
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def pies_on_domaine(self):
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""" Pies chart on domaines """
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try:
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self._pies_on_domaine
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except AttributeError:
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self._pies_on_domaine = pie_pivot_table(self.quest_df,
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index = "Level",
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columns = "Domaine",
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values = "Eleve",
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aggfunc = len,
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fill_value = 0,
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)
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return self._pies_on_domaine
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return pie_pivot_table(self.quest_df,
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index = "Level",
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columns = "Domaine",
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values = "Eleve",
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aggfunc = len,
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fill_value = 0,
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)
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@property
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def radar_on_competence(self):
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""" Radar plot on competence """
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try:
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self._radar_on_competence
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except AttributeError:
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self._radar_on_competence = radar_on(self.quest_df,
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return radar_on(self.quest_df,
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"Competence")
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return self._radar_on_competence
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@property
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def radar_on_domaine(self):
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""" Radar plot on domaine """
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try:
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self._radar_on_domaine
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except AttributeError:
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self._radar_on_domaine = radar_on(self.quest_df,
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return radar_on(self.quest_df,
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"Domaine")
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return self._radar_on_domaine
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@property
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def heatmap_on_domain(self):
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""" Heatmap over evals on domains """
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try:
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self._heatmap_on_domain
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except AttributeError:
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comp = pd.pivot_table(self.quest_df,
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index = "Competence",
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columns = ["Exercice", "Question"],
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values = ["Normalized"],
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aggfunc = np.mean,
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)
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comp.columns = [f"{i['Exercice']} {i['Question']}" for _,i in self.quest_df[["Exercice", "Question"]].drop_duplicates().iterrows()]
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self._heatmap_on_domain = sns.heatmap(comp)
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return self._heatmap_on_domain
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comp = pd.pivot_table(self.quest_df,
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index = "Competence",
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columns = ["Exercice", "Question"],
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values = ["Normalized"],
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aggfunc = np.mean,
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)
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comp.columns = [f"{i['Exercice']} {i['Question']}" for _,i in self.quest_df[["Exercice", "Question"]].drop_duplicates().iterrows()]
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return sns.heatmap(comp)
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class Classe(object):
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@ -201,45 +181,38 @@ class Classe(object):
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@property
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def hist_boxplot(self):
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""" Marks histogram and associed box plot """
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try:
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self._hist_boxplot
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except AttributeError:
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self._hist_boxplot = hist_boxplot(self.eval_df)
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return self._hist_boxplot
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return hist_boxplot(self.eval_df)
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@property
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def level_heatmap(self):
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""" Heapmap on acheivement level """
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try:
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self._level_heatmap
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except AttributeError:
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pv = pd.pivot_table(self.quest_df,
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index = "Eleve",
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columns = ["Exercice", "Question", "Commentaire"],
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values = ["Normalized"],
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aggfunc = "mean",
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)
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pv = pd.pivot_table(self.quest_df,
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index = "Eleve",
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columns = ["Exercice", "Question", "Commentaire"],
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values = ["Normalized"],
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aggfunc = "mean",
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)
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def lines_4_heatmap(c):
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lines = []
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ini = ''
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for k,v in enumerate(c.labels[1][::-1]):
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if v != ini:
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lines.append(k)
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ini = v
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return lines[1:]
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exercice_sep = lines_4_heatmap(pv.columns)
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def lines_4_heatmap(c):
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lines = []
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ini = ''
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for k,v in enumerate(c.labels[1][::-1]):
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if v != ini:
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lines.append(k)
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ini = v
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return lines[1:]
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exercice_sep = lines_4_heatmap(pv.columns)
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pv.columns = [f"{i[3]:.15} {i[1]} {i[2]}" for i in pv.columns.get_values()]
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self._level_heatmap = sns.heatmap(pv.T)
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pv.columns = [f"{i[3]:.15} {i[1]} {i[2]}" for i in pv.columns.get_values()]
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level_heatmap = sns.heatmap(pv.T)
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self._level_heatmap.hlines(exercice_sep,
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*self._level_heatmap.get_xlim(),
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colors = "orange",
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)
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level_heatmap.hlines(exercice_sep,
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*self._level_heatmap.get_xlim(),
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colors = "orange",
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)
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return level_heatmap
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return self._level_heatmap
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@property
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def pies_eff_pts_on_competence(self):
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@ -53,69 +53,60 @@ class Student(object):
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@property
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def pies_on_competence(self):
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""" Pies chart on competences """
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try:
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self._pies_on_competence
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except AttributeError:
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self._pies_on_competence = pie_pivot_table(self.quest_df,
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return pie_pivot_table(self.quest_df,
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index = "Level",
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columns = "Competence",
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values = "Eleve",
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aggfunc = len,
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fill_value = 0,
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)
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return self._pies_on_competence
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@property
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def pies_on_domaine(self):
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""" Pies chart on domaines """
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try:
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self._pies_on_domaine
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except AttributeError:
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self._pies_on_domaine = pie_pivot_table(self.quest_df,
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return pie_pivot_table(self.quest_df,
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index = "Level",
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columns = "Domaine",
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values = "Eleve",
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aggfunc = len,
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fill_value = 0,
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)
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return self._pies_on_domaine
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@property
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def radar_on_competence(self):
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""" Radar plot on competence """
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try:
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self._radar_on_competence
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except AttributeError:
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self._radar_on_competence = radar_on(self.quest_df,
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return radar_on(self.quest_df,
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"Competence")
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return self._radar_on_competence
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@property
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def radar_on_domaine(self):
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""" Radar plot on domaine """
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try:
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self._radar_on_domaine
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except AttributeError:
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self._radar_on_domaine = radar_on(self.quest_df,
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return radar_on(self.quest_df,
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"Domaine")
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return self._radar_on_domaine
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@property
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def heatmap_on_domain(self):
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""" Heatmap over evals on domains """
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try:
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self._heatmap_on_domain
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except AttributeError:
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comp = pd.pivot_table(self.quest_df,
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index = "Competence",
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columns = ["Date","Nom"],
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values = ["Normalized"],
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aggfunc = np.mean,
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)
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comp.columns = [i[1].strftime("%Y-%m-%d") + "\n" + i[2] for i in comp.columns]
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self._heatmap_on_domain = sns.heatmap(comp)
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return self._heatmap_on_domain
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comp = pd.pivot_table(self.quest_df,
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index = "Domaine",
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columns = ["Date","Nom"],
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values = ["Normalized"],
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aggfunc = np.mean,
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)
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comp.columns = [i[1].strftime("%Y-%m-%d") + "\n" + i[2] for i in comp.columns]
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return sns.heatmap(comp)
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@property
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def heatmap_on_competence(self):
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""" Heatmap over evals on competences """
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comp = pd.pivot_table(self.quest_df,
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index = "Competence",
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columns = ["Date","Nom"],
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values = ["Normalized"],
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aggfunc = np.mean,
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)
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comp.columns = [i[1].strftime("%Y-%m-%d") + "\n" + i[2] for i in comp.columns]
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return sns.heatmap(comp)
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def parallel_on_evals(self, classe_evals):
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""" Parallel coordinate plot of the class with student line highlight """
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