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_empirical_cdf():
data_simar = tests.read_sample_simar()
data_column = 'Hm0'
data = empirical_distributions.ecdf_histogram(data_simar[data_column])
empirical_distributions.plot_empirical(data)
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_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_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_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_simple_stationary():
data_simar = tests.read_sample_simar()
data_column = 'Hm0'
cumulative = False
x, y, _ = analysis.simple_stationary(data_simar,
data_column,
st.weibull_min,
cumulative=cumulative)
fitting.plot_fit_kde(x,
y,
data_simar,
data_column,
title='Weibull fitting',
var_name='$H_s$',
var_unit='m',
kde=True,
hist=True,
cumulative=cumulative)
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')
def test_get_summary():
data_simar = tests.read_sample_simar()
data_summary = summary.get_summary(data_simar)
assert data_summary.loc['max', 'Hm0'] == 2.4
