def __graph_multiple(cls, time, data_list, stat_name, period, ylabel_list,
yrange_list, save):
title = f'{stat_name} by {period}'
figure = plt.figure(figsize=GarminDBConfigManager.get_graphs('size'))
for index, data in enumerate(data_list):
color = Colors.from_integer(index).name
axes = figure.add_subplot(111,
label=ylabel_list[index],
frame_on=(index == 0))
axes.plot(time, data, color=color)
axes.set_ylabel(ylabel_list[index], color=color)
axes.yaxis.set_label_position(
YAxisLabelPostion.from_integer(index).name)
if (index % 2) == 0:
axes.yaxis.tick_right()
else:
axes.yaxis.tick_left()
axes.tick_params(axis='y', colors=color)
if yrange_list is None:
axes.set_ylim([min(data), max(data)])
else:
axes.set_ylim(yrange_list[index])
axes.grid()
axes.set_title(title)
axes.set_xlabel('Time')
if save:
figure.savefig(stat_name + ".png")
plt.show()
def __graph_multiple_single_axes(cls, time, data_list, stat_name, ylabel,
save):
title = f'{stat_name} Over Time'
figure = plt.figure(figsize=GarminDBConfigManager.get_graphs('size'))
for index, data in enumerate(data_list):
color = Colors.from_integer(index).name
axes = figure.add_subplot(111, frame_on=(index == 0))
axes.plot(time, data, color=color)
axes.grid()
axes.set_title(title)
axes.set_xlabel('Time')
axes.set_ylabel(ylabel)
if save:
figure.savefig(stat_name + ".png")
plt.show()
def __graph_over(cls,
date,
over_data_dicts,
under_data_dict,
title,
xlabel,
ylabel,
save_name=None):
figure = plt.figure(figsize=GarminDBConfigManager.get_graphs('size'))
# First graph the data that appears under
axes = figure.add_subplot(111, frame_on=True)
axes.fill_between(under_data_dict['time'],
under_data_dict['data'],
0,
color=Colors.c.name)
axes.set_ylim(under_data_dict['limits'])
axes.set_xticks([])
axes.set_yticks([])
# then graph the data that appears on top
colors = [Colors.r.name, Colors.b.name]
for index, _ in enumerate(over_data_dicts):
over_data_dict = over_data_dicts[index]
color = colors[index]
label = over_data_dict['label']
axes = figure.add_subplot(111, frame_on=False, label=label)
axes.plot(over_data_dict['time'],
over_data_dict['data'],
color=color)
axes.set_ylabel(label, color=color)
axes.yaxis.set_label_position(
YAxisLabelPostion.from_integer(index).name)
if (index % 2) == 0:
axes.yaxis.tick_right()
axes.set_xticks([])
else:
axes.yaxis.tick_left()
limits = over_data_dicts[index].get('limits')
if limits is not None:
axes.set_ylim(limits)
axes.grid()
axes.set_title(title)
axes.set_xlabel(xlabel)
x_format = mdates.DateFormatter('%H:%M')
axes.xaxis.set_major_formatter(x_format)
if save_name:
figure.savefig(save_name)
plt.show()