def output_plot_variability_period_time(modf, info, output_path):
elements = []
# Section title
default_title = _('Plot variability')
# Required values
location = info['location_metocean']
driver = info['name_driver']
descriptor = info['name_descriptor']
block = info['name_block']
section = info['name_section']
variability = info['variability_section']
initial_date = info['initial_date_section']
final_date = info['final_date_section']
# Optional values and default values
title = get_key(info, 'title_section', default_title)
var_name = get_key(info, 'var_name_descriptor', descriptor)
var_unit = get_key(info, 'unit_descriptor', '')
circular = get_key(info, 'circular_descriptor', False)
x_step = get_key(info, 'x_step_section', 1)
# Input tex section
input_tex(elements, info, output_path, section)
# Computation
data = extract_data(modf, descriptor_name=descriptor)
mask = ((data.index > initial_date) & (data.index < final_date))
data_crop = data[mask]
# Figure
kind = 'figure'
default_caption = _('Variability boxplot') + ': {}'.format(
info['title_descriptor'])
caption = get_key(info, 'variability_figure_caption_section',
default_caption)
path = get_output_name(location=location,
driver=driver,
name=descriptor,
block=block,
title=section,
kind=kind)
summary.plot_variability(data_crop,
frecuency=variability,
title='',
var_name=var_name,
var_unit=var_unit,
fig_filename=os.path.join(output_path, path),
circular=circular,
x_step=x_step)
elements.append([path, kind, caption])
return pd.DataFrame(elements, columns=['path', 'kind', 'caption']), title
def test_plot_variability_circular():
data_simar = tests.read_sample_simar(
'SIMAR_1052046', os.path.join(tests.full_data_path, 'simar'))
summary.plot_variability(
data_simar['DirM'],
'month',
title='Monthly variability circular',
var_name='$Dir_W$',
var_unit='º',
circular=True,
fig_filename=tests.get_img_path('monthly_variability_circular.png'))
def test_annual_variability_river_discharge():
name = 'river_flow.txt'
data_path = os.path.join(tests.full_data_path, 'saih', name)
# Read Saih
data = saih.read_file(data_path)
summary.plot_variability(
data[4],
'dayofyear',
title='Day of year variability',
var_name='$Q$',
var_unit='$m^3 \, s^{-1}$',
fig_filename=tests.get_img_path('dayofyear_variability.png'))
def test_plot_variability():
data_simar = tests.read_sample_simar(
'SIMAR_1052046', os.path.join(tests.full_data_path, 'simar'))
summary.plot_variability(
data_simar['Hm0'],
'month',
title='Monthly variability',
var_name='$H_s$',
var_unit='m',
fig_filename=tests.get_img_path('monthly_variability.png'))
summary.plot_variability(
data_simar.loc['2000':, 'Hm0'],
'year',
title='Yearly variability',
var_name='$H_s$',
var_unit='m',
fig_filename=tests.get_img_path('yearly_variability.png'))
summary.plot_variability(
data_simar['Hm0'],
'dayofyear',
title='Day of year variability',
var_name='$H_s$',
var_unit='m',
fig_filename=tests.get_img_path('dayofyear_variability.png'))