def test_stationlayout_api():
"""Test the StationPlot API."""
setup_font()
with style.context(test_style):
fig = make_figure(figsize=(9, 9))
# testing data
x = np.array([1, 5])
y = np.array([2, 4])
data = dict()
data['temp'] = np.array([32., 212.]) * units.degF
data['u'] = np.array([2, 0]) * units.knots
data['v'] = np.array([0, 5]) * units.knots
data['stid'] = ['KDEN', 'KSHV']
data['cover'] = [3, 8]
# Set up the layout
layout = StationPlotLayout()
layout.add_barb('u', 'v', units='knots')
layout.add_value('NW', 'temp', fmt='0.1f', units=units.degC, color='darkred')
layout.add_symbol('C', 'cover', sky_cover, color='magenta')
layout.add_text((0, 2), 'stid', color='darkgrey')
layout.add_value('NE', 'dewpt', color='green') # This should be ignored
# Make the plot
sp = StationPlot(fig.add_subplot(1, 1, 1), x, y, fontsize=12)
layout.plot(sp, data)
sp.ax.set_xlim(0, 6)
sp.ax.set_ylim(0, 6)
hide_tick_labels(sp.ax)
return fig
def test_nws_layout():
"""Test metpy's NWS layout for station plots."""
setup_font()
with style.context(test_style):
fig = make_figure(figsize=(3, 3))
# testing data
x = np.array([1])
y = np.array([2])
data = dict()
data['air_temperature'] = np.array([77]) * units.degF
data['dew_point_temperature'] = np.array([71]) * units.degF
data['air_pressure_at_sea_level'] = np.array([999.8]) * units('mbar')
data['eastward_wind'] = np.array([15.]) * units.knots
data['northward_wind'] = np.array([15.]) * units.knots
data['cloud_coverage'] = [7]
data['present_weather'] = [80]
data['high_cloud_type'] = [1]
data['medium_cloud_type'] = [3]
data['low_cloud_type'] = [2]
data['visibility_in_air'] = np.array([5.]) * units.mile
data['tendency_of_air_pressure'] = np.array([-0.3]) * units('mbar')
data['tendency_of_air_pressure_symbol'] = [8]
# Make the plot
sp = StationPlot(fig.add_subplot(1, 1, 1), x, y, fontsize=12, spacing=16)
nws_layout.plot(sp, data)
sp.ax.set_xlim(0, 3)
sp.ax.set_ylim(0, 3)
hide_tick_labels(sp.ax)
return fig
def test_simple_layout():
"""Test metpy's simple layout for station plots."""
setup_font()
with style.context(test_style):
fig = make_figure(figsize=(9, 9))
# testing data
x = np.array([1, 5])
y = np.array([2, 4])
data = dict()
data['air_temperature'] = np.array([32., 212.]) * units.degF
data['dew_point_temperature'] = np.array([28., 80.]) * units.degF
data['air_pressure_at_sea_level'] = np.array([29.92, 28.00]) * units.inHg
data['eastward_wind'] = np.array([2, 0]) * units.knots
data['northward_wind'] = np.array([0, 5]) * units.knots
data['cloud_coverage'] = [3, 8]
data['present_weather'] = [65, 75]
data['unused'] = [1, 2]
# Make the plot
sp = StationPlot(fig.add_subplot(1, 1, 1), x, y, fontsize=12)
simple_layout.plot(sp, data)
sp.ax.set_xlim(0, 6)
sp.ax.set_ylim(0, 6)
hide_tick_labels(sp.ax)
return fig
def test_station_plot_replace():
'Test that locations are properly replaced'
setup_font()
fig = make_figure(figsize=(3, 3))
# testing data
x = np.array([1])
y = np.array([1])
# Make the plot
sp = StationPlot(fig.add_subplot(1, 1, 1), x, y, fontsize=16)
sp.plot_barb([20], [0])
sp.plot_barb([5], [0])
sp.plot_parameter('NW', [10.5], color='red')
sp.plot_parameter('NW', [20], color='blue')
sp.ax.set_xlim(-3, 3)
sp.ax.set_ylim(-3, 3)
hide_tick_labels(sp.ax)
return fig
def test_stationplot_api():
'Test the StationPlot api'
setup_font()
fig = make_figure(figsize=(9, 9))
# testing data
x = np.array([1, 5])
y = np.array([2, 4])
# Make the plot
sp = StationPlot(fig.add_subplot(1, 1, 1), x, y, fontsize=16)
sp.plot_barb([20, 0], [0, -50])
sp.plot_text('E', ['KOKC', 'ICT'], color='blue')
sp.plot_parameter('NW', [10.5, 15], color='red')
sp.plot_symbol('S', [5, 7], high_clouds, color='green')
sp.ax.set_xlim(0, 6)
sp.ax.set_ylim(0, 6)
hide_tick_labels(sp.ax)
return fig
def test_station_layout_odd_data():
"""Test more corner cases with data passed in."""
setup_font()
fig = make_figure(figsize=(9, 9))
# Set up test layout
layout = StationPlotLayout()
layout.add_barb('u', 'v')
layout.add_value('W', 'temperature', units='degF')
# Now only use data without wind and no units
data = dict(temperature=[25.])
# Make the plot
sp = StationPlot(fig.add_subplot(1, 1, 1), [1], [2], fontsize=12)
layout.plot(sp, data)
assert True
