def reload_all_files(force=False):
pause_auto_update()
for file_to_load in signals_files.values():
if force or file_to_load.file_was_modified_on_disk():
show_spinner("Updating files from the disk...")
file_to_load.load()
hide_spinner()
refresh_info.text = "Last Update: " + str(datetime.datetime.now()).split(".")[0]
resume_auto_update_according_to_toggle()
def change_x_axis(val):
global x_axis
show_spinner("Updating the X axis...")
x_axis[0] = x_axis_options[val]
plot.xaxis.axis_label = x_axis_labels[val]
for file_to_load in signals_files.values():
file_to_load.update_x_axis_index()
# this is needed in order to recalculate the mean of all the files
if isinstance(file_to_load, SignalsFilesGroup):
file_to_load.load()
update_axis_range(x_axis[0], plot.x_range)
hide_spinner()
def update_axis_range(name, range_placeholder):
max_val = -float('inf')
min_val = float('inf')
selected_signal = None
if name in x_axis_options:
selected_signal = name
for signals_file in signals_files.values():
curr_min_val, curr_max_val = signals_file.get_range_of_selected_signals_on_axis(name, selected_signal)
max_val = max(max_val, curr_max_val)
min_val = min(min_val, curr_min_val)
if min_val != float('inf'):
if min_val == max_val:
range = 5
else:
range = max_val - min_val
range_placeholder.start = min_val - 0.1 * range
range_placeholder.end = max_val + 0.1 * range
def get_all_selected_signals():
signals = []
for signals_file in signals_files.values():
signals += signals_file.get_selected_signals()
return signals