axis_line_style='{draw=none}',
legend_cell_align='{left}',
legend_style='{font=\\footnotesize, draw=none, fill=none}',
ylabel_style='{yshift=-3.5mm}',
bar_width='4mm',
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/',
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
y2 = f(x, .8, 2)
y3 = f(x, .65, 2.5)
y4 = f(x, .55, 3)
y5 = f(x, .5, 3.5)
plot = Plot(
plot_path='./examples/',
plot_name='lineplot_example',
as_float_env=False,
grid_style=('gray!35', 'ultra thin'),
width='7cm',
height='6cm',
ylabel_style='{yshift=-3.5mm}',
)
plot.add_plot(x * 1000, y1, label='\\scriptsize$p=10$')
plot.add_plot(x * 1000, y2, label='\\scriptsize$p=30$')
plot.add_plot(x * 1000, y3, label='\\scriptsize$p=50$')
plot.add_plot(x * 1000, y4, label='\\scriptsize$p=75$')
plot.add_plot(x * 1000, y5, label='\\scriptsize$p=100$')
plot.y_min = 0
plot.y_max = 6.2
plot.x_min = 0
plot.x_max = 900
plot.x_label = 'Abscisse (unité)'
plot.y_label = 'Ordonnée (unité)'
doc = Document('lineplot_example',
filepath='./examples/',
plot = Plot(
plot_path='./examples/',
plot_name='scatterplot',
as_float_env=False,
marks=True,
lines=False,
grid_style=('gray!35', 'ultra thin'),
width='7cm',
height='6cm',
legend_cell_align='{left}',
legend_style='{font=\\footnotesize,draw=gray!50}',
ylabel_style='{yshift=-3.5mm}',
)
plot.add_plot(x1, y1+2, legend='Cercle indigo', fill_opacity=.5)
plot.add_plot(x2, y2+2, mark='triangle*', mark_size='2.5pt', legend='Triangle orange', fill_opacity=.5)
plot.legend_position = 'south east'
plot.y_min = 0
plot.x_min = 0
plot.x_ticks = (0,2,4,6,8)
plot.y_ticks = np.linspace(0,10,5)
plot.x_label = 'Abscisse (unité)'
plot.y_label = 'Ordonnée (unité)'
doc = Document('scatterplot_example', filepath='./examples/', doc_type='standalone')
doc += plot
palette = holi(4)
for i, feature in enumerate(features):
x, y = ax.collections[2 * i]._paths[
0]._vertices.T # Hacking into matplotlib objects to find the data defining the envelope
q25, q50, q75 = np.percentile(data[i], [25, 50, 75])
extrema = (i, i), (np.min(data[i]), np.max(data[i]))
quartiles = (i, i), (q25, q75)
median = (i, ), (q50, )
plot.add_plot(x,
y,
'fill',
line_cap='round',
line_join='round',
fill_opacity=.5,
color=palette[i])
plot.add_plot(*median,
'only marks',
mark_size='.4pt',
color=f'{palette[i]}!25')
plot.add_plot(
*extrema,
color=f'{palette[i]}!50!black',
line_cap='round',
line_width='1pt',
)
plot.add_plot(
*quartiles,
from python2latex import Template, Table, Plot filepath = './examples/templating an existing file' template = Template(filename='already_existing_file', filepath=filepath) table = Table((4, 3)) table[1:, 0:] = [[i for _ in range(3)] for i in range(3)] table[0] = 'Title' table[0].add_rule() table.caption = 'Here is a table caption.' template.anchors['some_table'] = table plot = Plot(plot_name='some_plot', plot_path=filepath) plot.add_plot(list(range(10)), list(range(10)), 'red') plot.caption = 'Here is a figure caption.' template.anchors['some_figure'] = plot template.render()