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)
