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'))
def test_plot_anual_variability():
data_simar = tests.read_sample_simar(
'SIMAR_1052046', os.path.join(tests.full_data_path, 'simar'))
summary.plot_anual_variability(
data_simar.loc['2000':'2017', 'Hm0'],
'mean',
fig_filename=tests.get_img_path('dayofyear_variability.png'))
def test_plot_rose():
data_simar = tests.read_sample_simar()
summary.plot_rose(data_simar,
data_column='Hm0',
dir_column='DirM',
title='Wave Rose',
var_name='$H_s$',
var_unit='m',
fig_filename=tests.get_img_path('rose.png'))
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 test_plot_histogram_circular():
data_simar = tests.read_sample_simar()
summary.plot_histogram(
data_simar['DirM'],
title='Histogram',
var_name='$Dir_W$',
var_unit='º',
circular=True,
fig_filename=tests.get_img_path('histogram_circular.png'))
def test_astronomical_tide_histogram():
name = 'data.out'
data_path = os.path.join(tests.full_data_path, 'tidal_model_driver', name)
data = tidal_model_driver.read_time_series_file(data_path)
# Plot series
summary.plot_histogram(data,
title='Histogram',
var_name='$\eta_{AT}$',
var_unit='$m$',
fig_filename=tests.get_img_path('histogram.png'))
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_plot_scatter():
data_simar = tests.read_sample_simar()
summary.plot_scatter(data_simar,
'Hm0',
'VelV',
title='Scatter',
x_var_name='$H_s$',
x_var_unit='m',
y_var_name='$Vel_v$',
y_var_unit='m/s',
fig_filename=tests.get_img_path('scatter.png'))
def test_plot_rose_granada():
# Data
modf = os.path.join(tests.current_path, '..', '..', 'inputadapter',
'tests', 'output', 'modf', 'granada_beach_wave.modf')
modf = MetOceanDF.read_file(modf)
summary.plot_rose(modf,
data_column='Hm0',
dir_column='DirM',
title='Wave Rose',
var_name='$H_s$',
var_unit='m',
fig_filename=tests.get_img_path('rose_granada.png'))
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_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_scatter_circular():
data_simar = tests.read_sample_simar()
summary.plot_scatter(
data_simar,
'DirM',
'Hm0',
title='Scatter Circular',
x_var_name='$Dir_W$',
x_var_unit='º',
y_var_name='$H_s$',
y_var_unit='m',
circular='x',
fig_filename=tests.get_img_path('scatter_circular.png'))
def test_wind_rose():
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)
summary.plot_rose(data_simar,
data_column='VelV',
dir_column='DirV',
title='Wind Rose',
var_name='$W_v$',
var_unit='m',
fig_filename=tests.get_img_path('wind_rose.png'))
def test_scatter_simar():
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)
summary.plot_scatter(
data_simar,
'DirM',
'Hm0',
title='Scatter Circular',
x_var_name='$Dir_W$',
x_var_unit='º',
y_var_name='$H_s$',
y_var_unit='m',
circular='x',
fig_filename=tests.get_img_path('scatter_circular.png'))
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')