return breath, status, vol
df = pd.read_csv(r'c:\Research_data\DH_data\test-840-1.txt', engine = 'python', skiprows = 2, skipfooter = 2,
names = ['flow', 'paw', 'other'])
df.reset_index(drop = False, inplace = True)
df.drop(labels = 'other', axis = 1, inplace = True)
df.flow = pd.to_numeric(df.flow, errors = 'coerce')
df.paw = pd.to_numeric(df.paw, errors = 'coerce')
df['breath'], df['status'], df['vol'] = count_breath(df.flow.values)
df.dropna(axis = 0, how = 'all', subset = ['flow'], inplace = True)
df.vol = df.groupby('breath')['vol'].cumsum()
p = Line(df, x = 'index', y = ['flow', 'paw', 'vol', 'breath', 'status'], color = 'red')
p.extra_y_ranges = {'flow': Range1d(start = 0, end = 30)}
p.add_layout(LinearAxis(y_range_name = 'flow'), 'left')
check_button = CheckboxButtonGroup(labels = ['Double Stacked', 'Flow Limited', 'Ineffective Trigger'],
active = [0, 0, 0])
next_button = Button(label = 'Next', type = 'success')
next_button.on_click(print('ok'))
output_file('test.html')
show(vform(p, check_button, next_button))
