def testQgsClassificationLogarithmic_FilterZeroNeg(self):
values = [-2, 0, 1, 7, 66, 555, 4444]
vl = createMemoryLayer(values)
m = QgsClassificationLogarithmic()
m.setParameterValues({'FILTER_ZERO_NEG_VALUES': True})
r = m.classes(vl, 'value', 4)
self.assertEqual(len(r), 4)
self.assertEqual(r[0].label(), '1 - 10^1')
self.assertEqual(QgsClassificationMethod.rangesToBreaks(r),
[10.0, 100.0, 1000.0, 10000.0])
def testQgsClassificationLogarithmicCloseMinimum(self):
"""See issue GH #45454: Incorrect scale range legend after applying
logarithmic graduated symbology to a vector layer"""
values = [
0.009900019065438, 0.010851322017611, 0.01755707784994,
0.031925433036994, 0.046422733606398
]
vl = createMemoryLayer(values)
m = QgsClassificationLogarithmic()
r = m.classes(vl, 'value', 4)
classes = [(c.lowerBound(), c.upperBound()) for c in r]
for l, h in classes:
self.assertLess(l, h)
def testQgsClassificationLogarithmic(self):
values = [
2746.71, 66667.49, 77282.52, 986567.01, 1729508.41, 9957836.86,
35419826.29, 52584164.80, 296572842.00
]
vl = createMemoryLayer(values)
m = QgsClassificationLogarithmic()
r = m.classes(vl, 'value', 8)
self.assertEqual(len(r), 6)
self.assertEqual(r[0].label(),
'{} - 10^4'.format(QLocale().toString(2746.71)))
self.assertEqual(QgsClassificationMethod.rangesToBreaks(r), [
10000.0, 100000.0, 1000000.0, 10000000.0, 100000000.0, 1000000000.0
])
self.assertEqual(len(m.classes(vl, 'value', 4)), 4)
def testQgsClassificationLogarithmic(self):
values = [2746.71,
66667.49,
77282.52,
986567.01,
1729508.41,
9957836.86,
35419826.29,
52584164.80,
296572842.00]
vl = createMemoryLayer(values)
m = QgsClassificationLogarithmic()
r = m.classes(vl, 'value', 9)
self.assertEqual(r.count(), 6)
self.assertEqual(r[0].label(), '2746.71 - 10^4')
self.assertEqual(QgsClassificationMethod.listToValues(r),
[10000.0, 100000.0, 1000000.0, 10000000.0, 100000000.0, 1000000000.0])
self.assertEqual(m.classes(vl, 'value', 4).count(), 4)
def testQgsClassificationLogarithmic_FilterZeroNeg(self):
values = [-2, 0, 1, 7, 66, 555, 4444]
vl = createMemoryLayer(values)
m = QgsClassificationLogarithmic()
m.setParameterValues({'ZERO_NEG_VALUES_HANDLE': QgsClassificationLogarithmic.Discard})
r = m.classes(vl, 'value', 4)
self.assertEqual(len(r), 4)
self.assertEqual(r[0].label(), '1 - 10^1')
self.assertEqual(QgsClassificationMethod.rangesToBreaks(r), [10.0, 100.0, 1000.0, 10000.0])
m.setParameterValues({'ZERO_NEG_VALUES_HANDLE': QgsClassificationLogarithmic.PrependBreak})
r = m.classes(vl, 'value', 4)
self.assertEqual(r[0].label(), '-2 - 10^0')
self.assertEqual(QgsClassificationMethod.rangesToBreaks(r), [1.0, 10.0, 100.0, 1000.0, 10000.0])