[processing] Make basic statistics translatable

m-kuhn committed Feb 24, 2016
1 parent fb7c683 commit 3e5e108b1a4dd2c861c3c011bbf344f88d590be7
 @@ -147,24 +147,24 @@ def processAlgorithm(self, progress): iqr = stat.interQuartileRange() data = [] data.append('Analyzed layer: ' + layer.name()) data.append('Analyzed field: ' + fieldName) 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('NULL (missed) values: ' + unicode(nullValues)) data.append('Interquartile Range (IQR): ' + unicode(iqr)) data.append(self.tr('Analyzed layer: {}').format(layer.name())) data.append(self.tr('Analyzed field: {}').format(fieldName)) data.append(self.tr('Count: {}').format(count)) data.append(self.tr('Unique values: {}').format(uniqueValue)) data.append(self.tr('Minimum value: {}').format(minValue)) data.append(self.tr('Maximum value: {}').format(maxValue)) data.append(self.tr('Range: {}').format(rValue)) data.append(self.tr('Sum: {}').format(sumValue)) data.append(self.tr('Mean value: {}').format(meanValue)) data.append(self.tr('Median value: {}').format(medianValue)) data.append(self.tr('Standard deviation: {}').format(stdDevValue)) data.append(self.tr('Coefficient of Variation: {}').format(cvValue)) data.append(self.tr('Minority (rarest occurring value): {}').format(minority)) data.append(self.tr('Majority (most frequently occurring value): {}').format(majority)) data.append(self.tr('First quartile: {}').format(firstQuartile)) data.append(self.tr('Third quartile: {}').format(thirdQuartile)) data.append(self.tr('NULL (missing) values: {}').format(nullValues)) data.append(self.tr('Interquartile Range (IQR): {}').format(iqr)) self.createHTML(outputFile, data)
 @@ -125,15 +125,15 @@ def processAlgorithm(self, progress): uniqueValues = vector.getUniqueValuesCount(layer, index) data = [] data.append('Analyzed layer: ' + layer.name()) data.append('Analyzed field: ' + fieldName) data.append('Minimum length: ' + unicode(minValue)) data.append('Maximum length: ' + unicode(maxValue)) data.append('Mean length: ' + unicode(meanValue)) data.append('Filled values: ' + unicode(filledValues)) data.append('NULL (missed) values: ' + unicode(nullValues)) data.append('Count: ' + unicode(count)) data.append('Unique: ' + unicode(uniqueValues)) data.append(self.tr('Analyzed layer: {}').format(layer.name())) data.append(self.tr('Analyzed field: {}').format(fieldName)) data.append(self.tr('Minimum length: {}').format(minValue)) data.append(self.tr('Maximum length: {}').format(maxValue)) data.append(self.tr('Mean length: {}').format(meanValue)) data.append(self.tr('Filled values: {}').format(filledValues)) data.append(self.tr('NULL (missing) values: {}').format(nullValues)) data.append(self.tr('Count: {}').format(count)) data.append(self.tr('Unique: {}').format(uniqueValues)) self.createHTML(outputFile, data)
 @@ -16,6 +16,6 @@

Majority (most frequently occurring value): -0.123

First quartile: -0.0615

Third quartile: 0.0615

NULL (missed) values: 1

NULL (missing) values: 1

Interquartile Range (IQR): 0.123

 @@ -6,7 +6,7 @@

Maximum length: 4.0

Mean length: 4.0

Filled values: 3

NULL (missed) values: 1

NULL (missing) values: 1

Count: 4

Unique: 2