Python core.QgsStatisticalSummary类代码示例

OGeek|极客世界-中国程序员成长平台 › 门户 › 编程› Python›Python编程经验

原作者: [db:作者] 来自: [db:来源] 收藏邀请

本文整理汇总了Python中qgis.core.QgsStatisticalSummary类的典型用法代码示例。如果您正苦于以下问题：Python QgsStatisticalSummary类的具体用法？Python QgsStatisticalSummary怎么用？Python QgsStatisticalSummary使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

在下文中一共展示了QgsStatisticalSummary类的8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，您的评价将有助于我们的系统推荐出更棒的Python代码示例。

示例1: processAlgorithm

    def processAlgorithm(self, parameters, context, feedback):
        layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT_LAYER), context)
        valuesFieldName = self.getParameterValue(self.VALUES_FIELD_NAME)
        categoriesFieldName = self.getParameterValue(self.CATEGORIES_FIELD_NAME)

        output = self.getOutputFromName(self.OUTPUT)
        valuesField = layer.fields().lookupField(valuesFieldName)
        categoriesField = layer.fields().lookupField(categoriesFieldName)

        features = QgsProcessingUtils.getFeatures(layer, context)
        total = 100.0 / QgsProcessingUtils.featureCount(layer, context)
        values = {}
        for current, feat in enumerate(features):
            feedback.setProgress(int(current * total))
            attrs = feat.attributes()
            try:
                value = float(attrs[valuesField])
                cat = str(attrs[categoriesField])
                if cat not in values:
                    values[cat] = []
                values[cat].append(value)
            except:
                pass

        fields = ['category', 'min', 'max', 'mean', 'stddev', 'sum', 'count']
        writer = output.getTableWriter(fields)
        stat = QgsStatisticalSummary(QgsStatisticalSummary.Min | QgsStatisticalSummary.Max |
                                     QgsStatisticalSummary.Mean | QgsStatisticalSummary.StDevSample |
                                     QgsStatisticalSummary.Sum | QgsStatisticalSummary.Count)

        for (cat, v) in list(values.items()):
            stat.calculate(v)
            record = [cat, stat.min(), stat.max(), stat.mean(), stat.sampleStDev(), stat.sum(), stat.count()]
            writer.addRecord(record)

开发者ID:rskelly，项目名称:QGIS，代码行数:34，代码来源:StatisticsByCategories.py

示例2: processAlgorithm

    def processAlgorithm(self, progress):
        layer = dataobjects.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
        valuesFieldName = self.getParameterValue(self.VALUES_FIELD_NAME)
        categoriesFieldName = self.getParameterValue(self.CATEGORIES_FIELD_NAME)

        output = self.getOutputFromName(self.OUTPUT)
        valuesField = layer.fieldNameIndex(valuesFieldName)
        categoriesField = layer.fieldNameIndex(categoriesFieldName)

        features = vector.features(layer)
        total = 100.0 / len(features) if len(features) > 0 else 1
        values = {}
        for current, feat in enumerate(features):
            progress.setPercentage(int(current * total))
            attrs = feat.attributes()
            try:
                value = float(attrs[valuesField])
                cat = unicode(attrs[categoriesField])
                if cat not in values:
                    values[cat] = []
                values[cat].append(value)
            except:
                pass

        fields = ['category', 'min', 'max', 'mean', 'stddev', 'sum', 'count']
        writer = output.getTableWriter(fields)
        stat = QgsStatisticalSummary(QgsStatisticalSummary.Min | QgsStatisticalSummary.Max |
                                     QgsStatisticalSummary.Mean | QgsStatisticalSummary.StDevSample |
                                     QgsStatisticalSummary.Sum | QgsStatisticalSummary.Count)

        for (cat, v) in values.items():
            stat.calculate(v)
            record = [cat, stat.min(), stat.max(), stat.mean(), stat.sampleStDev(), stat.sum(), stat.count()]
            writer.addRecord(record)

开发者ID:DHI-GRAS，项目名称:ESA_Processing，代码行数:34，代码来源:StatisticsByCategories.py

示例3: processAlgorithm

    def processAlgorithm(self, parameters, context, feedback):
        source = self.parameterAsSource(parameters, self.INPUT, context)
        value_field_name = self.parameterAsString(parameters, self.VALUES_FIELD_NAME, context)
        category_field_name = self.parameterAsString(parameters, self.CATEGORIES_FIELD_NAME, context)

        value_field_index = source.fields().lookupField(value_field_name)
        category_field_index = source.fields().lookupField(category_field_name)

        features = source.getFeatures(QgsFeatureRequest().setFlags(QgsFeatureRequest.NoGeometry))
        total = 100.0 / source.featureCount() if source.featureCount() else 0
        values = {}
        for current, feat in enumerate(features):
            if feedback.isCanceled():
                break

            feedback.setProgress(int(current * total))
            attrs = feat.attributes()
            try:
                value = float(attrs[value_field_index])
                cat = attrs[category_field_index]
                if cat not in values:
                    values[cat] = []
                values[cat].append(value)
            except:
                pass

        fields = QgsFields()
        fields.append(source.fields().at(category_field_index))
        fields.append(QgsField('min', QVariant.Double))
        fields.append(QgsField('max', QVariant.Double))
        fields.append(QgsField('mean', QVariant.Double))
        fields.append(QgsField('stddev', QVariant.Double))
        fields.append(QgsField('sum', QVariant.Double))
        fields.append(QgsField('count', QVariant.Int))

        (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
                                               fields, QgsWkbTypes.NoGeometry, QgsCoordinateReferenceSystem())

        stat = QgsStatisticalSummary(QgsStatisticalSummary.Min | QgsStatisticalSummary.Max |
                                     QgsStatisticalSummary.Mean | QgsStatisticalSummary.StDevSample |
                                     QgsStatisticalSummary.Sum | QgsStatisticalSummary.Count)

        for (cat, v) in list(values.items()):
            stat.calculate(v)
            f = QgsFeature()
            f.setAttributes([cat, stat.min(), stat.max(), stat.mean(), stat.sampleStDev(), stat.sum(), stat.count()])
            sink.addFeature(f, QgsFeatureSink.FastInsert)

        return {self.OUTPUT: dest_id}

开发者ID:peterisb，项目名称:QGIS，代码行数:49，代码来源:StatisticsByCategories.py

示例4: calcNumericStats

    def calcNumericStats(self, features, feedback, field, count):
        total = 100.0 / count if count else 0
        stat = QgsStatisticalSummary()
        for current, ft in enumerate(features):
            if feedback.isCanceled():
                break
            stat.addVariant(ft[field.name()])
            feedback.setProgress(int(current * total))
        stat.finalize()

        cv = stat.stDev() / stat.mean() if stat.mean() != 0 else 0

        results = {self.COUNT: stat.count(),
                   self.UNIQUE: stat.variety(),
                   self.EMPTY: stat.countMissing(),
                   self.FILLED: count - stat.countMissing(),
                   self.MIN: stat.min(),
                   self.MAX: stat.max(),
                   self.RANGE: stat.range(),
                   self.SUM: stat.sum(),
                   self.MEAN: stat.mean(),
                   self.MEDIAN: stat.median(),
                   self.STD_DEV: stat.stDev(),
                   self.CV: cv,
                   self.MINORITY: stat.minority(),
                   self.MAJORITY: stat.majority(),
                   self.FIRSTQUARTILE: stat.firstQuartile(),
                   self.THIRDQUARTILE: stat.thirdQuartile(),
                   self.IQR: stat.interQuartileRange()}

        data = []
        data.append(self.tr('Count: {}').format(stat.count()))
        data.append(self.tr('Unique values: {}').format(stat.variety()))
        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('Range: {}').format(stat.range()))
        data.append(self.tr('Sum: {}').format(stat.sum()))
        data.append(self.tr('Mean value: {}').format(stat.mean()))
        data.append(self.tr('Median value: {}').format(stat.median()))
        data.append(self.tr('Standard deviation: {}').format(stat.stDev()))
        data.append(self.tr('Coefficient of Variation: {}').format(cv))
        data.append(self.tr('Minority (rarest occurring value): {}').format(stat.minority()))
        data.append(self.tr('Majority (most frequently occurring value): {}').format(stat.majority()))
        data.append(self.tr('First quartile: {}').format(stat.firstQuartile()))
        data.append(self.tr('Third quartile: {}').format(stat.thirdQuartile()))
        data.append(self.tr('Interquartile Range (IQR): {}').format(stat.interQuartileRange()))
        return data, results

开发者ID:aaime，项目名称:QGIS，代码行数:48，代码来源:BasicStatistics.py

示例5: processAlgorithm


#.........这里部分代码省略.........
        bbox_transform = QgsCoordinateTransform(source.sourceCrs(), join_source.sourceCrs(), context.project())

        for current, f in enumerate(features):
            if feedback.isCanceled():
                break

            if not f.hasGeometry():
                if not discard_nomatch:
                    # ensure consistent count of attributes - otherwise non matching
                    # features will have incorrect attribute length
                    # and provider may reject them
                    attrs = f.attributes()
                    if len(attrs) < len(out_fields):
                        attrs += [NULL] * (len(out_fields) - len(attrs))
                    f.setAttributes(attrs)
                    sink.addFeature(f, QgsFeatureSink.FastInsert)
                continue

            bbox = bbox_transform.transformBoundingBox(f.geometry().boundingBox())
            engine = None

            values = []

            request = QgsFeatureRequest().setFilterRect(bbox).setSubsetOfAttributes(join_field_indexes).setDestinationCrs(source.sourceCrs(), context.transformContext())
            for test_feat in join_source.getFeatures(request):
                if feedback.isCanceled():
                    break

                join_attributes = []
                for a in join_field_indexes:
                    join_attributes.append(test_feat.attributes()[a])

                if engine is None:
                    engine = QgsGeometry.createGeometryEngine(f.geometry().constGet())
                    engine.prepareGeometry()

                for predicate in predicates:
                    if getattr(engine, predicate)(test_feat.geometry().constGet()):
                        values.append(join_attributes)
                        break

            feedback.setProgress(int(current * total))

            if len(values) == 0:
                if discard_nomatch:
                    continue
                else:
                    # ensure consistent count of attributes - otherwise non matching
                    # features will have incorrect attribute length
                    # and provider may reject them
                    attrs = f.attributes()
                    if len(attrs) < len(out_fields):
                        attrs += [NULL] * (len(out_fields) - len(attrs))
                    f.setAttributes(attrs)
                    sink.addFeature(f, QgsFeatureSink.FastInsert)
            else:
                attrs = f.attributes()
                for i in range(len(join_field_indexes)):
                    attribute_values = [v[i] for v in values]
                    field_type = field_types[i]
                    if field_type == 'numeric':
                        stat = QgsStatisticalSummary()
                        for v in attribute_values:
                            stat.addVariant(v)
                        stat.finalize()
                        for s in numeric_fields:
                            if s[0] in summaries:
                                attrs.append(getattr(stat, s[2])())
                    elif field_type == 'datetime':
                        stat = QgsDateTimeStatisticalSummary()
                        stat.calculate(attribute_values)
                        for s in datetime_fields:
                            if s[0] in summaries:
                                if s[0] == 'filled':
                                    attrs.append(stat.count() - stat.countMissing())
                                elif s[0] == 'min':
                                    attrs.append(stat.statistic(QgsDateTimeStatisticalSummary.Min))
                                elif s[0] == 'max':
                                    attrs.append(stat.statistic(QgsDateTimeStatisticalSummary.Max))
                                else:
                                    attrs.append(getattr(stat, s[2])())
                    else:
                        stat = QgsStringStatisticalSummary()
                        for v in attribute_values:
                            if v == NULL:
                                stat.addString('')
                            else:
                                stat.addString(str(v))
                        stat.finalize()
                        for s in string_fields:
                            if s[0] in summaries:
                                if s[0] == 'filled':
                                    attrs.append(stat.count() - stat.countMissing())
                                else:
                                    attrs.append(getattr(stat, s[2])())

                f.setAttributes(attrs)
                sink.addFeature(f, QgsFeatureSink.FastInsert)

        return {self.OUTPUT: dest_id}

开发者ID:Cracert，项目名称:Quantum-GIS，代码行数:101，代码来源:SpatialJoinSummary.py

示例6: calcNumericStats

    def calcNumericStats(self, values, sink, feedback):
        stat = QgsStatisticalSummary()

        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.variety(),
                                         stat.min(),
                                         stat.max(),
                                         stat.range(),
                                         stat.sum(),
                                         stat.mean(),
                                         stat.median(),
                                         stat.stDev(),
                                         stat.minority(),
                                         stat.majority(),
                                         stat.firstQuartile(),
                                         stat.thirdQuartile(),
                                         stat.interQuartileRange()])

            sink.addFeature(f, QgsFeatureSink.FastInsert)
            current += 1

开发者ID:m-kuhn，项目名称:QGIS，代码行数:30，代码来源:StatisticsByCategories.py

示例7: processAlgorithm

    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)

        index = layer.fieldNameIndex(fieldName)

        cvValue = 0
        minValue = 0
        maxValue = 0
        sumValue = 0
        meanValue = 0
        medianValue = 0
        stdDevValue = 0
        minority = 0
        majority = 0
        firstQuartile = 0
        thirdQuartile = 0
        iqr = 0

        isFirst = True
        values = []

        features = vector.features(layer)
        count = len(features)
        total = 100.0 / float(count)
        current = 0
        for ft in features:
            if ft.attributes()[index]:
                values.append(float(ft.attributes()[index]))

            current += 1
            progress.setPercentage(int(current * total))

        stat = QgsStatisticalSummary()
        stat.calculate(values)

        count = stat.count()
        uniqueValue = stat.variety()
        minValue = stat.min()
        maxValue = stat.max()
        rValue = stat.range()
        sumValue = stat.sum()
        meanValue = stat.mean()
        medianValue = stat.median()
        stdDevValue = stat.stDev()
        if meanValue != 0.00:
            cvValue = stdDevValue / meanValue
        minority = stat.minority()
        majority = stat.majority()
        firstQuartile = stat.firstQuartile()
        thirdQuartile = stat.thirdQuartile()
        iqr = stat.interQuartileRange()

        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))
        data.append('Minority (rarest occurring value): ' + unicode(minority))
        data.append('Majority (most frequently occurring value): ' + unicode(majority))
        data.append('First quartile: ' + unicode(firstQuartile))
        data.append('Third quartile: ' + unicode(thirdQuartile))
        data.append('Interquartile Range (IQR): ' + unicode(iqr))

        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.MINORITY, minority)
        self.setOutputValue(self.MAJORITY, majority)
        self.setOutputValue(self.FIRSTQUARTILE, firstQuartile)
        self.setOutputValue(self.THIRDQUARTILE, thirdQuartile)
        self.setOutputValue(self.IQR, iqr)

开发者ID:Geoneer，项目名称:QGIS，代码行数:89，代码来源:BasicStatisticsNumbers.py

示例8: calcNumericStats

    def calcNumericStats(self, features, progress, field):
        count = len(features)
        total = 100.0 / float(count)
        stat = QgsStatisticalSummary()
        for current, ft in enumerate(features):
            stat.addVariant(ft[field.name()])
            progress.setPercentage(int(current * total))
        stat.finalize()

        cv = stat.stDev() / stat.mean() if stat.mean() != 0 else 0

        self.setOutputValue(self.COUNT, stat.count())
        self.setOutputValue(self.UNIQUE, stat.variety())
        self.setOutputValue(self.EMPTY, stat.countMissing())
        self.setOutputValue(self.FILLED, count - stat.countMissing())
        self.setOutputValue(self.MIN, stat.min())
        self.setOutputValue(self.MAX, stat.max())
        self.setOutputValue(self.RANGE, stat.range())
        self.setOutputValue(self.SUM, stat.sum())
        self.setOutputValue(self.MEAN, stat.mean())
        self.setOutputValue(self.MEDIAN, stat.median())
        self.setOutputValue(self.STD_DEV, stat.stDev())
        self.setOutputValue(self.CV, cv)
        self.setOutputValue(self.MINORITY, stat.minority())
        self.setOutputValue(self.MAJORITY, stat.majority())
        self.setOutputValue(self.FIRSTQUARTILE, stat.firstQuartile())
        self.setOutputValue(self.THIRDQUARTILE, stat.thirdQuartile())
        self.setOutputValue(self.IQR, stat.interQuartileRange())

        data = []
        data.append(self.tr('Count: {}').format(stat.count()))
        data.append(self.tr('Unique values: {}').format(stat.variety()))
        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('Range: {}').format(stat.range()))
        data.append(self.tr('Sum: {}').format(stat.sum()))
        data.append(self.tr('Mean value: {}').format(stat.mean()))
        data.append(self.tr('Median value: {}').format(stat.median()))
        data.append(self.tr('Standard deviation: {}').format(stat.stDev()))
        data.append(self.tr('Coefficient of Variation: {}').format(cv))
        data.append(self.tr('Minority (rarest occurring value): {}').format(stat.minority()))
        data.append(self.tr('Majority (most frequently occurring value): {}').format(stat.majority()))
        data.append(self.tr('First quartile: {}').format(stat.firstQuartile()))
        data.append(self.tr('Third quartile: {}').format(stat.thirdQuartile()))
        data.append(self.tr('Interquartile Range (IQR): {}').format(stat.interQuartileRange()))
        return data

开发者ID:medspx，项目名称:QGIS，代码行数:47，代码来源:BasicStatistics.py

注：本文中的qgis.core.QgsStatisticalSummary类示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。

鲜花

握手

雷人

路过

鸡蛋

该文章已有0人参与评论

请发表评论

全部评论

专题导读

More+

10-27 六六分期app的软件客服如何联系？(六六分期

11-06 可心卡盟:win10系统火狐flash插件崩溃怎么

11-06 亲亲特价:怎么删除回收站图标

11-06 济南大学虚拟社区:鲁大师节能降温的具体办

11-06 xlueops.exe:无线网络安装向导

11-06 女斗合众国:win7系统cf与主机连接不稳定怎

11-06 0xc000022-[cf烟雾头]cf怎么调烟雾头

11-06 qizideyouhuo:应用程序无法正常启动0xc0000

11-06 ipz-185:win7系统vcf文件怎么打开

11-06 傻哥蹦迪:win10系统s4怎么打开usb调试

11-06 八神浩树gtaste:回收站清空了怎么恢复

11-06 妖尾之黑色守护:win10系统电脑没有1440x900

11-06 校园至尊魔王小说:win7系统浏览网页时字体

11-06 女斗合众国:win10系统访问共享文件夹提示请

11-06 tokyo hot n0654:恢复win7系统默认字体一招

11-06 雨酷仙境:设置win7系统转移临时文件夹腾出

11-06 阿穆纳伊之杖:win7系统开始菜单在右边还原

11-06 tunespotting:win10系统火狐flash插件总是

11-06 甘尔葛分析师：计谋网站seo关键词暴涨有什

11-06 蔡贵霖: 计谋网站seo关键词暴涨有什么秘密

11-06 博益网首页:ao3网页版进入不了解决方法

11-06 漏斗子专栏: 网站数据分析小白易懂精华篇

11-06 见证双虹怎么做:win7系统开启telnet命令的

11-06 颾狐蝶蜋:系统资源不足无法完成请求的服务

11-06 国光中学校歌:提交网站到alexa查询详细步骤

11-06 西安有情天:静态网页和动态网页的区别

11-06 红木雅尚斋:外部链接构造对网站的好处

11-06 前官礼遇：防止域名劫持–增强域安全性的10

11-06 密传二转答案: 中文分词算法有哪些

11-06 金泉家园邮编:百度快照劫持的表现及应对方

Python core.QgsStringStatisticalSummary类代码示例发布时间：2022-05-26

Python core.QgsSpatialIndex类代码示例发布时间：2022-05-26

Python util.grid_equal函数代码示例

1 Python 入门教程

Python入门教程 Python 是一种解释型、面向对象、动态数据类型的高级程序设计语言。 P

阅读：13788|2022-01-22

2 Python wikiutil.getFrontPage函数代码示例

Python wikiutil.getFrontPage函数代码示例

阅读：10177|2022-05-24

3 Python 简介

Python 简介 Python 是一个高层次的结合了解释性、编译性、互动性和面向对象的脚本

阅读：4076|2022-01-22

4 Python tests.group函数代码示例

Python tests.group函数代码示例

阅读：4039|2022-05-27

5 Python util.check_if_user_has_permission

Python util.check_if_user_has_permission函数代码示例

阅读：3832|2022-05-27

6 Python 操练实例98

Python 练习实例98 Python 100例题目：从键盘输入一个字符串，将小写字母全部转换成大

阅读：3508|2022-01-22

7 Python 环境搭建

Python 环境搭建本章节我们将向大家介绍如何在本地搭建 Python 开发环境。 Py

阅读：3029|2022-01-22

8 Python output.darkgreen函数代码示例

Python output.darkgreen函数代码示例

阅读：2646|2022-05-25

9 Python 基础语法

Python 基础语法 Python 语言与 Perl，C 和 Java 等语言有许多相似之处。但是，也

阅读：2636|2022-01-22

10 Python 中文编码

Python 中文编码前面章节中我们已经学会了如何用 Python 输出 Hello, World!，英文没

阅读：2293|2022-01-22

客服电话

电子邮件

Python core.QgsStatisticalSummary类代码示例

示例1: processAlgorithm

示例2: processAlgorithm

示例3: processAlgorithm

示例4: calcNumericStats

示例5: processAlgorithm

示例6: calcNumericStats

示例7: processAlgorithm

示例8: calcNumericStats

请发表评论

全部评论

上一篇：

下一篇：

Python util.grid_equal函数代码示例

Python util.get_worker_name函数代码示例

Python util.get_webmention_target函数代

Python util.get_uuid函数代码示例

Python util.get_type_by_name函数代码示例

Python util.grid_equal函数代码示例

Python util.get_worker_name函数代码示例

Python util.get_webmention_target函数代

Python util.get_uuid函数代码示例

Python util.get_type_by_name函数代码示例

Python util.get_stdout函数代码示例

关于我们

产品与服务

解决方案

139-2527-9053