def plot_all_to_latex(self, sec, mean_metrics, std_metrics, caption,
file_path, file_name):
plot = sec.new(
Plot(plot_name=file_name,
plot_path=file_path,
position='th!',
width=r'.27\textwidth',
height=r'.25\textwidth',
label=file_name,
name='plot0',
xshift=r'-.115\textwidth'))
plot.caption = caption
kwargs_per_plot = {
1: {
'as_float_env': False,
'at': '(plot0.south east)',
'anchor': 'south west',
'xshift': r'-.04\textwidth',
'name': 'plot1'
},
2: {
'as_float_env': False,
'at': '(plot1.south east)',
'anchor': 'south west',
'xshift': r'0.035\textwidth',
'name': 'plot2'
},
3: {
'as_float_env': False,
'at': '(plot2.south east)',
'anchor': 'south west',
'xshift': r'.11\textwidth',
'name': 'plot3'
}
}
titles = {
'de': 'English-Deutsch',
'it': 'English-Italian',
'fi': 'English-Finnish',
'es': 'English-Spanish'
}
for i, language in enumerate(sorted(mean_metrics['accuracies'])):
if i == 0:
current_plot = plot
else:
current_plot = Plot(plot_name=file_name,
plot_path=file_path,
width=r'.27\textwidth',
height=r'.25\textwidth',
**kwargs_per_plot[i])
current_plot.tikzpicture.head = ''
current_plot.tikzpicture.tail = ''
x, y, std = np.array(
list(mean_metrics['accuracies'][language].keys())).astype(
int), np.array(
list(mean_metrics['accuracies']
[language].values())).astype(float), np.array(
list(std_metrics['accuracies']
[language].values())).astype(float)
sorting = x.argsort()
x, y, std = x[sorting], y[sorting], std[sorting]
current_plot.add_plot(x,
y,
'blue',
'ylabel near ticks',
mark='*',
line_width='1.2pt',
mark_size='.9pt')
current_plot.add_plot(x,
y + 1.96 * std,
name_path='upper',
draw='none')
current_plot.add_plot(x,
y - 1.96 * std,
name_path='lower',
draw='none')
current_plot.axis.append(
'\\addplot[fill=blue!10] fill between[of=upper and lower];')
current_plot.axis.kwoptions[
'y tick label style'] = '{/pgf/number format/fixed zerofill, /pgf/number format/precision=1}'
current_plot.x_min = np.floor(x.min())
current_plot.x_max = np.ceil(x.max())
y_max, y_min = (y + 1.96 * std).max(), (y - 1.96 * std).min()
delta = y.max() - y.min()
current_plot.y_min = y_min - delta / 2
current_plot.y_max = y_max + delta / 2
current_plot.title = titles[language]
current_plot.plot_name += '_en_{}'.format(language)
if i > 0:
plot.tikzpicture += current_plot
ybar='0mm',
xticklabel_style='{font=\\footnotesize}',
xtick_style='{draw=none}',
ytick_style='{draw=none}',
)
plot.axis.options += (
'nodes near coords',
'every node near coord/.append style={font=\\scriptsize}',
)
plot.add_plot(x, y1, 'fill', draw='none', legend='Modèle 1')
plot.add_plot(x, y2, 'fill', draw='none', legend='Modèle 2')
plot.legend_position = 'north west'
plot.y_min = 0
plot.y_max = 79
plot.x_min = 0.5
plot.x_ticks = x
plot.x_ticks_labels = labels
plot.x_label = 'Datasets'
plot.y_label = "Précision (\%)"
doc = Document('bar_chart_example',
filepath='./examples/',
doc_type='standalone')
doc += plot
doc.build(delete_files=['log', 'aux'])
color=f'{palette[i]}!50!black',
line_cap='round',
line_width='1pt',
)
plot.add_plot(
*quartiles,
color=f'{palette[i]}!50!black',
line_cap='round',
line_width='2pt',
)
plot.x_label = 'Attribut'
plot.y_label = 'Taille (cm)'
plot.x_ticks = [0, 1, 2, 3]
plot.x_ticks_labels = [
'Longueur\\\\ pétale',
'Largeur\\\\ pétale',
'Longueur\\\\ sépale',
'Largeur\\\\ sépale',
]
plot.y_ticks = list(range(0, 11, 2))
plot.y_min = -.6
doc = Document('violin_plot_example',
filepath='./examples/',
doc_type='standalone')
doc += plot
doc.build(delete_files=['log', 'aux'])