本文整理汇总了Python中sextante.algs.ftools.FToolsUtils.getUniqueValuesCount方法的典型用法代码示例。如果您正苦于以下问题：Python FToolsUtils.getUniqueValuesCount方法的具体用法？Python FToolsUtils.getUniqueValuesCount怎么用？Python FToolsUtils.getUniqueValuesCount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sextante.algs.ftools.FToolsUtils的用法示例。
在下文中一共展示了FToolsUtils.getUniqueValuesCount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: processAlgorithm
# 需要导入模块: from sextante.algs.ftools import FToolsUtils [as 别名]
# 或者: from sextante.algs.ftools.FToolsUtils import getUniqueValuesCount [as 别名]
def processAlgorithm(self, progress):
layer = QGisLayers.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
fieldName = self.getParameterValue(self.FIELD_NAME)
outputFile = self.getOutputValue(self.OUTPUT_HTML_FILE)
index = layer.fieldNameIndex(fieldName)
sumValue = 0
minValue = 0
maxValue = 0
meanValue = 0
countEmpty = 0
countFilled = 0
isFirst = True
values = []
features = QGisLayers.features(layer)
count = len(features)
total = 100.0 / float(count)
current = 0
for ft in features:
length = float(len(ft.attributes()[index].toString()))
if isFirst:
minValue = length
maxValue = length
isFirst = False
else:
if length < minValue:
minValue = length
if length > maxValue:
maxValue = length
if length != 0.00:
countFilled += 1
else:
countEmpty += 1
values.append(length)
sumValue += length
current += 1
progress.setPercentage(int(current * total))
n = float(len(values))
if n > 0:
meanValue = sumValue / n
uniqueValues = utils.getUniqueValuesCount(layer, index)
data = []
data.append("Minimum length: " + unicode(minValue))
data.append("Maximum length: " + unicode(maxValue))
data.append("Mean length: " + unicode(meanValue))
data.append("Filled: " + unicode(countFilled))
data.append("Empty: " + unicode(countEmpty))
data.append("Count: " + unicode(count))
data.append("Unique: " + unicode(uniqueValues))
self.createHTML(outputFile, data)
self.setOutputValue(self.MIN_LEN, minValue)
self.setOutputValue(self.MAX_LEN, maxValue)
self.setOutputValue(self.MEAN_LEN, meanValue)
self.setOutputValue(self.FILLED, countFilled)
self.setOutputValue(self.EMPTY, countEmpty)
self.setOutputValue(self.COUNT, count)
self.setOutputValue(self.UNIQUE, uniqueValues)示例2: processAlgorithm
# 需要导入模块: from sextante.algs.ftools import FToolsUtils [as 别名]
# 或者: from sextante.algs.ftools.FToolsUtils import getUniqueValuesCount [as 别名]
def processAlgorithm(self, progress):
layer = QGisLayers.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
fieldName = self.getParameterValue(self.FIELD_NAME)
outputFile = self.getOutputValue(self.OUTPUT_HTML_FILE)
index = layer.fieldNameIndex(fieldName)
#layer.select([index], QgsRectangle(), False)
cvValue = 0
minValue = 0
maxValue = 0
sumValue = 0
meanValue = 0
medianValue = 0
stdDevValue = 0
isFirst = True
values = []
features = QGisLayers.features(layer)
count = len(features)
total = 100.0 / float(count)
current = 0
for ft in features:
value = float(ft.attributes()[index].toDouble()[0])
if isFirst:
minValue = value
maxValue = value
isFirst = False
else:
if value < minValue:
minValue = value
if value > maxValue:
maxValue = value
values.append( value )
sumValue += value
current += 1
progress.setPercentage(int(current * total))
# calculate additional values
rValue = maxValue - minValue
uniqueValue = utils.getUniqueValuesCount(layer, index)
if count > 0:
meanValue = sumValue / count
if meanValue != 0.00:
for v in values:
stdDevValue += ((v - meanValue) * (v - meanValue))
stdDevValue = math.sqrt(stdDevValue / count)
cvValue = stdDevValue / meanValue
if count > 1:
tmp = values
tmp.sort()
# calculate median
if (count % 2) == 0:
medianValue = 0.5 * (tmp[(count - 1) / 2] + tmp[count / 2])
else:
medianValue = tmp[(count + 1) / 2 - 1]
data = []
data.append("Count: " + unicode(count))
data.append("Unique values: " + unicode(uniqueValue))
data.append("Minimum value: " + unicode(minValue))
data.append("Maximum value: " + unicode(maxValue))
data.append("Range: " + unicode(rValue))
data.append("Sum: " + unicode(sumValue))
data.append("Mean value: " + unicode(meanValue))
data.append("Median value: " + unicode(medianValue))
data.append("Standard deviation: " + unicode(stdDevValue))
data.append("Coefficient of Variation: " + unicode(cvValue))
self.createHTML(outputFile, data)
self.setOutputValue(self.COUNT, count)
self.setOutputValue(self.UNIQUE, uniqueValue)
self.setOutputValue(self.MIN, minValue)
self.setOutputValue(self.MAX, maxValue)
self.setOutputValue(self.RANGE, rValue)
self.setOutputValue(self.SUM, sumValue)
self.setOutputValue(self.MEAN, meanValue)
self.setOutputValue(self.MEDIAN, medianValue)
self.setOutputValue(self.STD_DEV, stdDevValue)
self.setOutputValue(self.CV, cvValue)