本文整理汇总了Python中qgis.core.QgsStatisticalSummary.statistic方法的典型用法代码示例。如果您正苦于以下问题：Python QgsStatisticalSummary.statistic方法的具体用法？Python QgsStatisticalSummary.statistic怎么用？Python QgsStatisticalSummary.statistic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.QgsStatisticalSummary的用法示例。
在下文中一共展示了QgsStatisticalSummary.statistic方法的1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: processAlgorithm
# 需要导入模块: from qgis.core import QgsStatisticalSummary [as 别名]
# 或者: from qgis.core.QgsStatisticalSummary import statistic [as 别名]
def processAlgorithm(self, parameters, context, feedback):
source = self.parameterAsSource(parameters, self.INPUT, context)
join_source = self.parameterAsSource(parameters, self.JOIN, context)
join_fields = self.parameterAsFields(parameters, self.JOIN_FIELDS, context)
discard_nomatch = self.parameterAsBool(parameters, self.DISCARD_NONMATCHING, context)
summaries = [self.statistics[i][0] for i in
sorted(self.parameterAsEnums(parameters, self.SUMMARIES, context))]
if not summaries:
# none selected, so use all
summaries = [s[0] for s in self.statistics]
source_fields = source.fields()
fields_to_join = QgsFields()
join_field_indexes = []
if not join_fields:
# no fields selected, use all
join_fields = [join_source.fields().at(i).name() for i in range(len(join_source.fields()))]
def addFieldKeepType(original, stat):
"""
Adds a field to the output, keeping the same data type as the original
"""
field = QgsField(original)
field.setName(field.name() + '_' + stat)
fields_to_join.append(field)
def addField(original, stat, type):
"""
Adds a field to the output, with a specified type
"""
field = QgsField(original)
field.setName(field.name() + '_' + stat)
field.setType(type)
if type == QVariant.Double:
field.setLength(20)
field.setPrecision(6)
fields_to_join.append(field)
numeric_fields = (
('count', QVariant.Int, 'count'),
('unique', QVariant.Int, 'variety'),
('min', QVariant.Double, 'min'),
('max', QVariant.Double, 'max'),
('range', QVariant.Double, 'range'),
('sum', QVariant.Double, 'sum'),
('mean', QVariant.Double, 'mean'),
('median', QVariant.Double, 'median'),
('stddev', QVariant.Double, 'stDev'),
('minority', QVariant.Double, 'minority'),
('majority', QVariant.Double, 'majority'),
('q1', QVariant.Double, 'firstQuartile'),
('q3', QVariant.Double, 'thirdQuartile'),
('iqr', QVariant.Double, 'interQuartileRange')
)
datetime_fields = (
('count', QVariant.Int, 'count'),
('unique', QVariant.Int, 'countDistinct'),
('empty', QVariant.Int, 'countMissing'),
('filled', QVariant.Int),
('min', None),
('max', None)
)
string_fields = (
('count', QVariant.Int, 'count'),
('unique', QVariant.Int, 'countDistinct'),
('empty', QVariant.Int, 'countMissing'),
('filled', QVariant.Int),
('min', None, 'min'),
('max', None, 'max'),
('min_length', QVariant.Int, 'minLength'),
('max_length', QVariant.Int, 'maxLength'),
('mean_length', QVariant.Double, 'meanLength')
)
field_types = []
for f in join_fields:
idx = join_source.fields().lookupField(f)
if idx >= 0:
join_field_indexes.append(idx)
join_field = join_source.fields().at(idx)
if join_field.isNumeric():
field_types.append('numeric')
field_list = numeric_fields
elif join_field.type() in (QVariant.Date, QVariant.Time, QVariant.DateTime):
field_types.append('datetime')
field_list = datetime_fields
else:
field_types.append('string')
field_list = string_fields
for f in field_list:
if f[0] in summaries:
if f[1] is not None:
addField(join_field, f[0], f[1])
else:
addFieldKeepType(join_field, f[0])
#.........这里部分代码省略.........