本文整理汇总了Python中qgis.core.QgsStringStatisticalSummary.meanLength方法的典型用法代码示例。如果您正苦于以下问题：Python QgsStringStatisticalSummary.meanLength方法的具体用法？Python QgsStringStatisticalSummary.meanLength怎么用？Python QgsStringStatisticalSummary.meanLength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.QgsStringStatisticalSummary的用法示例。
在下文中一共展示了QgsStringStatisticalSummary.meanLength方法的6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: testStats
# 需要导入模块: from qgis.core import QgsStringStatisticalSummary [as 别名]
# 或者: from qgis.core.QgsStringStatisticalSummary import meanLength [as 别名]
def testStats(self):
# we test twice, once with values added as a list and once using values
# added one-at-a-time
s = QgsStringStatisticalSummary()
self.assertEqual(s.statistics(), QgsStringStatisticalSummary.All)
strings = ['cc', 'aaaa', 'bbbbbbbb', 'aaaa', 'eeee', '', 'eeee', '', 'dddd']
s.calculate(strings)
s2 = QgsStringStatisticalSummary()
for string in strings:
s2.addString(string)
s2.finalize()
self.assertEqual(s.count(), 9)
self.assertEqual(s2.count(), 9)
self.assertEqual(s.countDistinct(), 6)
self.assertEqual(s2.countDistinct(), 6)
self.assertEqual(set(s.distinctValues()), set(['cc', 'aaaa', 'bbbbbbbb', 'eeee', 'dddd', '']))
self.assertEqual(s2.distinctValues(), s.distinctValues())
self.assertEqual(s.countMissing(), 2)
self.assertEqual(s2.countMissing(), 2)
self.assertEqual(s.min(), 'aaaa')
self.assertEqual(s2.min(), 'aaaa')
self.assertEqual(s.max(), 'eeee')
self.assertEqual(s2.max(), 'eeee')
self.assertEqual(s.minLength(), 0)
self.assertEqual(s2.minLength(), 0)
self.assertEqual(s.maxLength(), 8)
self.assertEqual(s2.maxLength(), 8)
self.assertEqual(s.meanLength(), 3.33333333333333333333333)
self.assertEqual(s2.meanLength(), 3.33333333333333333333333)
#extra check for minLength without empty strings
s.calculate(['1111111', '111', '11111'])
self.assertEqual(s.minLength(), 3)示例2: calcStringStats
# 需要导入模块: from qgis.core import QgsStringStatisticalSummary [as 别名]
# 或者: from qgis.core.QgsStringStatisticalSummary import meanLength [as 别名]
def calcStringStats(self, features, feedback, field, count):
total = 100.0 / count if count else 1
stat = QgsStringStatisticalSummary()
for current, ft in enumerate(features):
if feedback.isCanceled():
break
stat.addValue(ft[field.name()])
feedback.setProgress(int(current * total))
stat.finalize()
results = {self.COUNT: stat.count(),
self.UNIQUE: stat.countDistinct(),
self.EMPTY: stat.countMissing(),
self.FILLED: stat.count() - stat.countMissing(),
self.MIN: stat.min(),
self.MAX: stat.max(),
self.MIN_LENGTH: stat.minLength(),
self.MAX_LENGTH: stat.maxLength(),
self.MEAN_LENGTH: stat.meanLength()}
data = []
data.append(self.tr('Count: {}').format(count))
data.append(self.tr('Unique values: {}').format(stat.countDistinct()))
data.append(self.tr('NULL (missing) values: {}').format(stat.countMissing()))
data.append(self.tr('Minimum value: {}').format(stat.min()))
data.append(self.tr('Maximum value: {}').format(stat.max()))
data.append(self.tr('Minimum length: {}').format(stat.minLength()))
data.append(self.tr('Maximum length: {}').format(stat.maxLength()))
data.append(self.tr('Mean length: {}').format(stat.meanLength()))
return data, results示例3: calcStringStats
# 需要导入模块: from qgis.core import QgsStringStatisticalSummary [as 别名]
# 或者: from qgis.core.QgsStringStatisticalSummary import meanLength [as 别名]
def calcStringStats(self, features, progress, field):
count = len(features)
total = 100.0 / float(count)
stat = QgsStringStatisticalSummary()
for current, ft in enumerate(features):
stat.addValue(ft[field.name()])
progress.setPercentage(int(current * total))
stat.finalize()
self.setOutputValue(self.COUNT, stat.count())
self.setOutputValue(self.UNIQUE, stat.countDistinct())
self.setOutputValue(self.EMPTY, stat.countMissing())
self.setOutputValue(self.FILLED, stat.count() - stat.countMissing())
self.setOutputValue(self.MIN, stat.min())
self.setOutputValue(self.MAX, stat.max())
self.setOutputValue(self.MIN_LENGTH, stat.minLength())
self.setOutputValue(self.MAX_LENGTH, stat.maxLength())
self.setOutputValue(self.MEAN_LENGTH, stat.meanLength())
data = []
data.append(self.tr('Count: {}').format(count))
data.append(self.tr('Unique values: {}').format(stat.countDistinct()))
data.append(self.tr('NULL (missing) values: {}').format(stat.countMissing()))
data.append(self.tr('Minimum value: {}').format(stat.min()))
data.append(self.tr('Maximum value: {}').format(stat.max()))
data.append(self.tr('Minimum length: {}').format(stat.minLength()))
data.append(self.tr('Maximum length: {}').format(stat.maxLength()))
data.append(self.tr('Mean length: {}').format(stat.meanLength()))
return data示例4: calcStringStats
# 需要导入模块: from qgis.core import QgsStringStatisticalSummary [as 别名]
# 或者: from qgis.core.QgsStringStatisticalSummary import meanLength [as 别名]
def calcStringStats(self, values, sink, feedback):
stat = QgsStringStatisticalSummary()
total = 50.0 / len(values) if values else 0
current = 0
for cat, v in values.items():
if feedback.isCanceled():
break
feedback.setProgress(int(current * total) + 50)
stat.calculate(v)
f = QgsFeature()
f.setAttributes(list(cat) + [stat.count(),
stat.countDistinct(),
stat.countMissing(),
stat.count() - stat.countMissing(),
stat.min(),
stat.max(),
stat.minLength(),
stat.maxLength(),
stat.meanLength()
])
sink.addFeature(f, QgsFeatureSink.FastInsert)
current += 1示例5: processAlgorithm
# 需要导入模块: from qgis.core import QgsStringStatisticalSummary [as 别名]
# 或者: from qgis.core.QgsStringStatisticalSummary import meanLength [as 别名]
def processAlgorithm(self, progress):
layer = dataobjects.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
fieldName = self.getParameterValue(self.FIELD_NAME)
outputFile = self.getOutputValue(self.OUTPUT_HTML_FILE)
request = (
QgsFeatureRequest()
.setFlags(QgsFeatureRequest.NoGeometry)
.setSubsetOfAttributes([fieldName], layer.fields())
)
stat = QgsStringStatisticalSummary()
features = vector.features(layer, request)
count = len(features)
total = 100.0 / float(count)
for current, ft in enumerate(features):
stat.addValue(ft[fieldName])
progress.setPercentage(int(current * total))
stat.finalize()
data = []
data.append(self.tr("Analyzed layer: {}").format(layer.name()))
data.append(self.tr("Analyzed field: {}").format(fieldName))
data.append(self.tr("Minimum length: {}").format(stat.minLength()))
data.append(self.tr("Maximum length: {}").format(stat.maxLength()))
data.append(self.tr("Mean length: {}").format(stat.meanLength()))
data.append(self.tr("Filled values: {}").format(stat.count() - stat.countMissing()))
data.append(self.tr("NULL (missing) values: {}").format(stat.countMissing()))
data.append(self.tr("Count: {}").format(stat.count()))
data.append(self.tr("Unique: {}").format(stat.countDistinct()))
data.append(self.tr("Minimum string value: {}").format(stat.min()))
data.append(self.tr("Maximum string value: {}").format(stat.max()))
self.createHTML(outputFile, data)
self.setOutputValue(self.MIN_LEN, stat.minLength())
self.setOutputValue(self.MAX_LEN, stat.maxLength())
self.setOutputValue(self.MEAN_LEN, stat.meanLength())
self.setOutputValue(self.FILLED, stat.count() - stat.countMissing())
self.setOutputValue(self.EMPTY, stat.countMissing())
self.setOutputValue(self.COUNT, stat.count())
self.setOutputValue(self.UNIQUE, stat.countDistinct())
self.setOutputValue(self.MIN_VALUE, stat.min())
self.setOutputValue(self.MAX_VALUE, stat.max())示例6: processAlgorithm
# 需要导入模块: from qgis.core import QgsStringStatisticalSummary [as 别名]
# 或者: from qgis.core.QgsStringStatisticalSummary import meanLength [as 别名]
def processAlgorithm(self, parameters, context, feedback):
layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT_LAYER), context)
fieldName = self.getParameterValue(self.FIELD_NAME)
outputFile = self.getOutputValue(self.OUTPUT_HTML_FILE)
request = QgsFeatureRequest().setFlags(QgsFeatureRequest.NoGeometry).setSubsetOfAttributes([fieldName],
layer.fields())
stat = QgsStringStatisticalSummary()
features = QgsProcessingUtils.getFeatures(layer, context, request)
count = QgsProcessingUtils.featureCount(layer, context)
total = 100.0 / float(count)
for current, ft in enumerate(features):
stat.addValue(ft[fieldName])
feedback.setProgress(int(current * total))
stat.finalize()
data = []
data.append(self.tr('Analyzed layer: {}').format(layer.name()))
data.append(self.tr('Analyzed field: {}').format(fieldName))
data.append(self.tr('Minimum length: {}').format(stat.minLength()))
data.append(self.tr('Maximum length: {}').format(stat.maxLength()))
data.append(self.tr('Mean length: {}').format(stat.meanLength()))
data.append(self.tr('Filled values: {}').format(stat.count() - stat.countMissing()))
data.append(self.tr('NULL (missing) values: {}').format(stat.countMissing()))
data.append(self.tr('Count: {}').format(stat.count()))
data.append(self.tr('Unique: {}').format(stat.countDistinct()))
data.append(self.tr('Minimum string value: {}').format(stat.min()))
data.append(self.tr('Maximum string value: {}').format(stat.max()))
self.createHTML(outputFile, data)
self.setOutputValue(self.MIN_LEN, stat.minLength())
self.setOutputValue(self.MAX_LEN, stat.maxLength())
self.setOutputValue(self.MEAN_LEN, stat.meanLength())
self.setOutputValue(self.FILLED, stat.count() - stat.countMissing())
self.setOutputValue(self.EMPTY, stat.countMissing())
self.setOutputValue(self.COUNT, stat.count())
self.setOutputValue(self.UNIQUE, stat.countDistinct())
self.setOutputValue(self.MIN_VALUE, stat.min())
self.setOutputValue(self.MAX_VALUE, stat.max())