本文整理汇总了Python中qgis.core.QgsGraduatedSymbolRenderer.updateClasses方法的典型用法代码示例。如果您正苦于以下问题：Python QgsGraduatedSymbolRenderer.updateClasses方法的具体用法？Python QgsGraduatedSymbolRenderer.updateClasses怎么用？Python QgsGraduatedSymbolRenderer.updateClasses使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类qgis.core.QgsGraduatedSymbolRenderer的用法示例。
在下文中一共展示了QgsGraduatedSymbolRenderer.updateClasses方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testQgsGraduatedSymbolRenderer_3
# 需要导入模块: from qgis.core import QgsGraduatedSymbolRenderer [as 别名]
# 或者: from qgis.core.QgsGraduatedSymbolRenderer import updateClasses [as 别名]
def testQgsGraduatedSymbolRenderer_3(self):
"""Test QgsGraduatedSymbolRenderer: Reading attribute data, calculating classes """
# Create a renderer
renderer = QgsGraduatedSymbolRenderer()
symbol = createMarkerSymbol()
renderer.setSourceSymbol(symbol.clone())
# Test retrieving data values from a layer
ml = createMemoryLayer((1.2, 0.5, 5.0, 1.0, 1.0, 1.2))
renderer.setClassAttribute("value")
# Equal interval calculations
renderer.updateClasses(ml, renderer.EqualInterval, 3)
self.assertEqual(
dumpRangeBreaks(renderer.ranges()),
'(0.5000-2.0000,2.0000-3.5000,3.5000-5.0000,)',
'Equal interval classification not correct')
# Quantile classes
renderer.updateClasses(ml, renderer.Quantile, 3)
self.assertEqual(
dumpRangeBreaks(renderer.ranges()),
'(0.5000-1.0000,1.0000-1.2000,1.2000-5.0000,)',
'Quantile classification not correct')
renderer.updateClasses(ml, renderer.Quantile, 4)
self.assertEqual(
dumpRangeBreaks(renderer.ranges()),
'(0.5000-1.0000,1.0000-1.1000,1.1000-1.2000,1.2000-5.0000,)',
'Quantile classification not correct')示例2: testQgsGraduatedSymbolRenderer_3
# 需要导入模块: from qgis.core import QgsGraduatedSymbolRenderer [as 别名]
# 或者: from qgis.core.QgsGraduatedSymbolRenderer import updateClasses [as 别名]
def testQgsGraduatedSymbolRenderer_3(self):
"""Test QgsGraduatedSymbolRenderer: Reading attribute data, calculating classes """
# Create a renderer
renderer = QgsGraduatedSymbolRenderer()
symbol = createMarkerSymbol()
renderer.setSourceSymbol(symbol.clone())
# Test retrieving data values from a layer
ml = createMemoryLayer((1.2, 0.5, 5.0, 1.0, 1.0, 1.2))
# ... by attribute
renderer.setClassAttribute("value")
self.assertEqual(renderer.classAttribute(), "value", "Error in set/get classAttribute")
data = renderer.getDataValues(ml)
datastr = ':'.join([str(x) for x in data])
self.assertEqual(datastr, '1.2:0.5:5.0:1.0:1.0:1.2', "Error returning field data")
# ... by expression
renderer.setClassAttribute('"value"*"value"')
self.assertEqual(renderer.classAttribute(), '"value"*"value"', "Error in set/get classAttribute")
data = renderer.getDataValues(ml)
datastr = ':'.join([str(x) for x in data])
self.assertEqual(datastr, '1.44:0.25:25.0:1.0:1.0:1.44', "Error returning field expression")
renderer.setClassAttribute("value")
# Equal interval calculations
renderer.updateClasses(ml, renderer.EqualInterval, 3)
self.assertEqual(
dumpRangeBreaks(renderer.ranges()),
'(0.5000-2.0000,2.0000-3.5000,3.5000-5.0000,)',
'Equal interval classification not correct')
# Quantile classes
renderer.updateClasses(ml, renderer.Quantile, 3)
self.assertEqual(
dumpRangeBreaks(renderer.ranges()),
'(0.5000-1.0000,1.0000-1.2000,1.2000-5.0000,)',
'Quantile classification not correct')
renderer.updateClasses(ml, renderer.Quantile, 4)
self.assertEqual(
dumpRangeBreaks(renderer.ranges()),
'(0.5000-1.0000,1.0000-1.1000,1.1000-1.2000,1.2000-5.0000,)',
'Quantile classification not correct')