def test_plot_series_circular():
data_simar = tests.read_sample_simar()
summary.plot_series(data_simar,
data_column='DirM',
title='Series Circular',
var_name='$Dir_W$',
var_unit='º',
fig_filename=tests.get_img_path('series_circular.png'),
circular=True)
def test_plot_trends():
data_simar = tests.read_sample_simar()
summary.plot_series(data_simar,
data_column='Hm0',
title='Trends',
var_name='$H_s$',
var_unit='m',
fig_filename=tests.get_img_path('trends.png'),
show_trends=True)
def output_plot_series_period_time(modf, info, output_path):
elements = []
# Section title
default_title = _('Plot time series')
# Required values
location = info['location_metocean']
driver = info['name_driver']
descriptor = info['name_descriptor']
block = info['name_block']
section = info['name_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)
# 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 = _('Time series plot') + ': {}'.format(
info['title_descriptor'])
caption = get_key(info, 'time_series_figure_caption_section',
default_caption)
path = get_output_name(location=location,
driver=driver,
name=descriptor,
block=block,
title=section,
kind=kind)
summary.plot_series(data_crop,
title='',
var_name=var_name,
var_unit=var_unit,
fig_filename=os.path.join(output_path, path),
circular=circular)
elements.append([path, kind, caption])
return pd.DataFrame(elements, columns=['path', 'kind', 'caption']), title
def test_plot_series():
data_simar = tests.read_sample_simar()
summary.plot_series(data_simar['Hm0'],
title='Wave',
var_name='$H_s$',
var_unit='m',
fig_filename=tests.get_img_path('series.png'))
summary.plot_series(data_simar,
data_column='Hm0',
title='Wave',
var_name='$H_s$',
var_unit='m')
def test_plot_full_simar_series():
simar_name = 'SIMAR_1052046'
data_path = os.path.join(tests.full_data_path, 'simar')
# Read SIMAR
data_simar = tests.read_sample_simar(data_file=simar_name,
data_path=data_path)
# Plot series
summary.plot_series(
data_simar,
title='Plot series',
var_name='Hm0',
var_unit='m',
fig_filename=tests.get_img_path('time_series_full_hs.png'),
data_column='Hm0',
circular=False,
show_trends=False,
label='observations')