def test_windrose_frequency_lines(): """Test frequency Polygon2Ds""" epw_path = os.path.join(os.getcwd(), 'tests/fixtures/epw/tokyo.epw') epw = EPW(epw_path) w = WindRose(epw.wind_direction, epw.wind_speed, 5) # Without calmrose w.show_zeros = False w.show_freq = True _ = w.colored_mesh freqs = w.frequency_lines assert isinstance(freqs[0], Polygon2D) assert not freqs[0].vertices[0].is_equivalent(freqs[0].vertices[-1], 1e-10) # With calmrose w.show_zeros = True w.show_freq = True _ = w.colored_mesh freqs = w.frequency_lines assert isinstance(freqs[0], Polygon2D) assert not freqs[0].vertices[0].is_equivalent(freqs[0].vertices[-1], 1e-10)
def test_windrose_mesh(): # Plot windrose epw_path = os.path.join(os.getcwd(), 'tests/fixtures/epw/tokyo.epw') epw = EPW(epw_path) w = WindRose(epw.wind_direction, epw.wind_speed, 16) w.legend_parameters.segment_count = 3 # Test the plot grid assert isinstance(w.frequency_lines[0], Polygon2D) assert isinstance(w.orientation_lines[0], LineSegment2D) # Test False, False w.show_zeros = False w.show_freq = False assert isinstance(w.colored_mesh, Mesh2D) # Test True, False w.show_zeros = True w.show_freq = False assert isinstance(w.colored_mesh, Mesh2D) # Test False, True w.show_zeros = False w.show_freq = True assert isinstance(w.colored_mesh, Mesh2D) # Test True, True w.show_zeros = True w.show_freq = True assert isinstance(w.colored_mesh, Mesh2D)
def test_windrose_mesh_number_of_directions(): # Test if mesh number of directions epw_path = os.path.join(os.getcwd(), 'tests/fixtures/epw/tokyo.epw') epw = EPW(epw_path) # Test 16 directions w = WindRose(epw.wind_direction, epw.wind_speed, 16) w.legend_parameters.segment_count = 3 w.show_zeros = True w.show_freq = True assert len(w.histogram_data) == 16 # Test error if number of directions < 0 with pytest.raises(AssertionError): WindRose(epw.wind_direction, epw.wind_speed, 0) # Test error if number of directions < 3 w = WindRose(epw.wind_direction, epw.wind_speed, 2) with pytest.raises(AssertionError): w.colored_mesh w = WindRose(epw.wind_direction, epw.wind_speed, 3) assert isinstance(w.colored_mesh, Mesh2D)
def test_frequency_intervals(): """Test the distance of frequency_intervals""" # Plot windrose epw_path = os.path.join(os.getcwd(), 'tests/fixtures/epw/tokyo.epw') epw = EPW(epw_path) w = WindRose(epw.wind_direction, epw.wind_speed, 3) w.show_zeros = False w.show_freq = False w.frequency_hours = 200.0 test_freq_int = int(math.ceil(w.real_freq_max / 200.0)) assert w.frequency_intervals_compass == pytest.approx(test_freq_int, abs=1e-10) assert w.frequency_intervals_mesh == pytest.approx(test_freq_int, abs=1e-10) # Test changing interals from 18 # Reduce w.frequency_intervals_compass = 10.0 test_freq_int = 10.0 assert w.frequency_maximum == pytest.approx(10 * 200.0, abs=1e-10) assert w.frequency_intervals_compass == pytest.approx(test_freq_int, abs=1e-10) assert w.frequency_intervals_mesh == pytest.approx(test_freq_int, abs=1e-10) # Check that resetting frequency_max works w._frequency_intervals_compass = None # w.real_freq_max: 4406 chk_max = int(math.ceil(4406 / 200)) * 200 assert w.frequency_maximum == pytest.approx(chk_max, abs=1e-10) assert w.frequency_intervals_compass == pytest.approx(23, abs=1e-10) assert w.frequency_intervals_mesh == pytest.approx(23, abs=1e-10)
def test_windrose_mesh_size(): # Testing mesh scaling dir_vals = [0, 0, 0, 10, 10, 10, 85, 90, 90, 90, 95, 170, 285, 288] spd_vals = dir_vals # Make into fake data collections a_per = AnalysisPeriod(6, 21, 12, 6, 21, 13) dates = [DateTime(6, 21, i) for i in range(len(dir_vals))] spd_header = Header(Speed(), 'm/s', a_per) dir_header = Header(GenericType('Direction', 'deg'), 'deg', a_per) spd_data = HourlyDiscontinuousCollection(spd_header, spd_vals, dates) dir_data = HourlyDiscontinuousCollection(dir_header, dir_vals, dates) # Init simple dir set divided by 4 w = WindRose(dir_data, spd_data, 4) w.legend_parameters.segment_count = 3 # Test the size of the windrose w = WindRose(dir_data, spd_data, 4) w.legend_parameters.segment_count = 3 w.show_zeros = False w.show_freq = True w.frequency_spacing_distance = 200.0 _ = w.colored_mesh hdist = w.frequency_spacing_hypot_distance intervals = w.real_freq_max / w.frequency_hours assert w.mesh_radius == pytest.approx(intervals * hdist, abs=1e-10) # Add calmrose w.show_zeros = True zero_dist = w._zero_mesh_radius _ = w.colored_mesh hdist = w.frequency_spacing_hypot_distance intervals = w.real_freq_max / w.frequency_hours assert w.mesh_radius == pytest.approx(zero_dist + (intervals * hdist)) # Test size with windrose from actual epw data epw_path = os.path.join(os.getcwd(), 'tests/fixtures/epw/chicago.epw') epw = EPW(epw_path) w = WindRose(epw.wind_direction, epw.wind_speed, 3)
def test_windrose_graphic_analysis_values(): """Test visualization analysis values""" # Test w/ zeros epw_path = os.path.join(os.getcwd(), 'tests/fixtures/epw/tokyo.epw') epw = EPW(epw_path) # Test 16 directions w1 = WindRose(epw.wind_direction, epw.wind_speed, 16) w1.legend_parameters.segment_count = 3 w1.show_zeros = True w1.show_freq = True _ = w1.colored_mesh assert min(w1.container.values) < 1e-10 # Test 16 directions w2 = WindRose(epw.wind_direction, epw.wind_speed, 16) w2.legend_parameters.segment_count = 3 w2.show_zeros = False w2.show_freq = False _ = w2.colored_mesh assert min(w2.container.values) > 1e-10
def test_windrose_mesh(): # Plot windrose epw_path = os.path.join(os.getcwd(), 'tests/fixtures/epw/tokyo.epw') epw = EPW(epw_path) w = WindRose(epw.wind_direction, epw.wind_speed, 16) w.legend_parameters.segment_count = 3 w.show_zeros = False w.show_stack = False mesh = w.colored_mesh # Simple test type assert isinstance(mesh, Mesh2D)
def test_simple_windrose_mesh(): # Testing vals dir_vals = [0, 0, 0, 10, 10, 10, 85, 90, 90, 90, 95, 170, 285, 288] spd_vals = dir_vals # Make into fake data collections a_per = AnalysisPeriod(6, 21, 12, 6, 21, 13) dates = [DateTime(6, 21, i) for i in range(len(dir_vals))] spd_header = Header(Speed(), 'm/s', a_per) dir_header = Header(GenericType('Direction', 'deg'), 'deg', a_per) spd_data = HourlyDiscontinuousCollection(spd_header, spd_vals, dates) dir_data = HourlyDiscontinuousCollection(dir_header, dir_vals, dates) # Init simple dir set divided by 4 w = WindRose(dir_data, spd_data, 4) w.legend_parameters.segment_count = 3 w.show_zeros = False w.show_freq = False mesh = w.colored_mesh assert isinstance(mesh, Mesh2D) # All true w = WindRose(dir_data, spd_data, 4) w.legend_parameters.segment_count = 10 w.show_zeros = True w.show_freq = True mesh = w.colored_mesh assert isinstance(mesh, Mesh2D) # Init simple dir set divided by 8 w = WindRose(dir_data, spd_data, 4) w.legend_parameters.segment_count = 3 w.show_zeros = False w.show_freq = False mesh = w.colored_mesh assert isinstance(mesh, Mesh2D)
if _freq_hours_ is not None: windrose.frequency_hours = _freq_hours_ # Add and check optional visualization parameters if _max_freq_lines_ is not None: windrose.frequency_intervals_compass = _max_freq_lines_ if _freq_dist_ is not None: windrose.frequency_spacing_distance = _freq_dist_ windrose.north = north_ windrose.show_freq = _show_freq_ calm_text = '' if isinstance(speed_data.header.data_type, Speed): windrose.show_zeros = _show_calmrose_ calm_text = '\nCalm for {}% of the time = {} hours.'.format( round( windrose._zero_count / len(windrose.analysis_values) * 100.0, 2), windrose._zero_count) windrose.base_point = Point2D(center_pt_2d.x, center_pt_2d.y) # Make the mesh mesh = from_mesh2d(windrose.colored_mesh, _center_pt_.z) # Make the graphic outputs legend = legend_objects(windrose.legend) freq_per = windrose._frequency_hours / \ len([b for a in windrose.histogram_data for b in a]) freq_text = '\nEach closed polyline shows frequency of {}% = {} hours.'.format( round(freq_per * 100, 1), windrose._frequency_hours)
if len(legend_par_) > 0: try: # sense when several legend parameters are connected lpar = legend_par_[i] except IndexError: lpar = legend_par_[-1] windrose.legend_parameters = lpar windrose.frequency_hours = _freq_hours_ if _max_freq_lines_ is not None: windrose.frequency_intervals_compass = _max_freq_lines_ windrose.frequency_spacing_distance = _freq_dist_ windrose.north = north_ windrose.show_freq = show_freq_ calm_text = '' if isinstance(speed_data.header.data_type, Speed): windrose.show_zeros = show_calm_ calm_text = '\nCalm for {}% of the time = {} hours.'.format( round(windrose._zero_count / len(windrose.analysis_values) * 100.0, 2), windrose._zero_count) windrose.base_point = Point2D(center_pt_2d.x, center_pt_2d.y) # Make the mesh msh = from_mesh2d(windrose.colored_mesh, _center_pt_.z) # Make the other graphic outputs legend = legend_objects(windrose.legend) freq_per = windrose._frequency_hours / \ len([b for a in windrose.histogram_data for b in a]) freq_text = '\nEach closed polyline shows frequency of {}% = {} hours.'.format( round(freq_per * 100, 1), windrose._frequency_hours)
def test_histogram_data_nested(): # Testing vals dir_vals = [0, 0, 0, 0, 10, 10, 10, 85, 90, 90, 90, 95, 170, 285, 310] spd_vals = [0, 0, 0, 0, 1, 145, 189, 15, 10, 150, 299, 259, 100, 5, 301] # Make into fake data collections a_per = AnalysisPeriod(6, 21, 12, 6, 21, 13) dates = [DateTime(6, 21, i) for i in range(len(dir_vals))] spd_header = Header(Speed(), 'm/s', a_per) dir_header = Header(GenericType('Direction', 'deg'), 'deg', a_per) spd_data = HourlyDiscontinuousCollection(spd_header, spd_vals, dates) dir_data = HourlyDiscontinuousCollection(dir_header, dir_vals, dates) # Init complex dir set divided by 4, and 2 hourly intervals w = WindRose(dir_data, spd_data, 4) w.frequency_hours = 2 w.legend_parameters.segment_count = 7 # Bin values to divide into 6 intervals = 10 - 310 = 300 / 6 = 50 m/s # intervals: [1-50, 51-100, 101-150, 151-200, 201-250, 251-300, 301-350] # # each frequency interval = 1/6 ~ 0.166 of total speed # 315-45: [1, 145, 189]; 3 bands [0-49, 100-149, 150-199] # 45-135: [15, 10, 150, 299, 259]; 3 bands, [0-49, 150-199,, 250-299] # 135-225: [100]; 1 bands, [100-149] # 225-315: [5, 300]; 2 bands, [0-49, 300, 249] # interval_num: [3, 3, 1, 2] chk_histstack = [ [[1], [], [145], [189], [], []], # 0-49, 100-149, 150-199 [[10, 15], [], [150], [], [], [259, 299]], # 0-49, 150-199,, 250-299 [[], [100], [], [], [], []], # 100-149 [[5], [], [], [], [], [301]]] # 0-49, 300-349 # Testing speeds = [val for bin in w.histogram_data for val in bin] min_speed, max_speed = min(speeds), max(speeds) histstack, bins = WindRose._histogram_data_nested( w.histogram_data, (min_speed, max_speed), w.legend_parameters.segment_count) # Check assert len(chk_histstack) == len(histstack) for cbins, bins in zip(chk_histstack, histstack): assert len(cbins) == len(bins) for cbin, bin in zip(cbins, bins): assert len(cbin) == len(bin) for cval, val in zip(cbin, bin): assert abs(cval - val) <= 1e-10, (cval, val) # Check with zeros w.show_zeros = True w.frequency_hours = 1.0 w.frequency_spacing_distance = 25.0 hypot_dist = w.frequency_spacing_hypot_distance assert abs(w._zero_mesh_radius - hypot_dist) < 1e-10 # Check with zeros 2 # Testing vals dir_vals = [0, 0, 0, 0, 0, 0, 10, 10, 10, 85, 90, 90, 90, 95, 170, 285, 310] spd_vals = [0, 0, 0, 0, 0, 0, 1, 145, 189, 15, 10, 150, 299, 259, 100, 5, 301] # Make into fake data collections a_per = AnalysisPeriod(6, 21, 12, 6, 21, 13) dates = [DateTime(6, 21, i) for i in range(len(dir_vals))] spd_header = Header(Speed(), 'm/s', a_per) dir_header = Header(GenericType('Direction', 'deg'), 'deg', a_per) spd_data = HourlyDiscontinuousCollection(spd_header, spd_vals, dates) dir_data = HourlyDiscontinuousCollection(dir_header, dir_vals, dates) # Init complex dir set divided by 4, and 2 hourly intervals w = WindRose(dir_data, spd_data, 4) w.show_zeros = True w.frequency_hours = 1.0 w.frequency_spacing_distance = 25.0 hypot_dist = w.frequency_spacing_hypot_distance * 1.5 assert abs(w._zero_mesh_radius - hypot_dist) < 1e-10
def test_windrose_frequency_distribution(): """Test frequency distribution""" # Testing mesh scaling dir_vals = [1, 2, 3, 4, 5, 6, 90, 91, 92, 93, 94, 95, 180, 181, 182, 183, 184, 185, 270, 271, 272, 273, 274, 275] spd_vals = dir_vals # Make into fake data collections a_per = AnalysisPeriod(6, 21, 12, 6, 21, 13) dates = [DateTime(6, 21, i) for i in range(len(dir_vals))] spd_header = Header(Speed(), 'm/s', a_per) dir_header = Header(GenericType('Direction', 'deg'), 'deg', a_per) spd_data = HourlyDiscontinuousCollection(spd_header, spd_vals, dates) dir_data = HourlyDiscontinuousCollection(dir_header, dir_vals, dates) # Init simple dir set divided by 4 w = WindRose(dir_data, spd_data, 4) w.frequency_hours = 3 assert w.frequency_intervals_mesh == 2 assert w.real_freq_max == 6 assert w.frequency_maximum == 6 freqs = WindRose._histogram_data_nested(w.histogram_data, 3) north_hbin = freqs[0] assert north_hbin[0] == 2.0 # [1, 2, 3] assert north_hbin[1] == 5.0 # [4, 5, 6] assert north_hbin[0] == sum(w.histogram_data[0][:3]) / 3.0 # Test w/ epw epw_path = os.path.join(os.getcwd(), 'tests/fixtures/epw/tokyo.epw') epw = EPW(epw_path) # Test 16 directions w = WindRose(epw.wind_direction, epw.wind_speed, 3) w.show_zeros = False w.show_freq = True # w.real_freq_max: 4406 # w.frequency_maximum: 4600 # Test w/ no stacking w.frequency_hours = 4600 # 1 bin ytick_num = w.frequency_intervals_mesh assert ytick_num == 1 freqs = WindRose._histogram_data_nested(w.histogram_data, 4600) hbin = freqs[0] test_val = sum(w.histogram_data[0]) / len(w.histogram_data[0]) assert hbin[0] == pytest.approx(test_val, abs=1e-10) # Test w/ stacking w.frequency_hours = 5 # 1 bin h = w.frequency_hours freqs = WindRose._histogram_data_nested(w.histogram_data, h) hbin = freqs[0] sort_hist_bar = sorted(w.histogram_data[0]) test_val = sum(sort_hist_bar[:5]) / 5.0 assert hbin[0] == pytest.approx(test_val, abs=1e-10)