[processing] Make basic statistics translatable

qgis · Feb 26, 2016 · 3e5e108b1a4dd2c861c3c011bbf344f88d590be7 · 3e5e108
1 parent fb7c683
commit 3e5e108b1a4dd2c861c3c011bbf344f88d590be7
diff --git a/python/plugins/processing/algs/qgis/BasicStatisticsNumbers.py b/python/plugins/processing/algs/qgis/BasicStatisticsNumbers.py
@@ -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)
 

diff --git a/python/plugins/processing/algs/qgis/BasicStatisticsStrings.py b/python/plugins/processing/algs/qgis/BasicStatisticsStrings.py
@@ -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)
 

diff --git a/python/plugins/processing/tests/testdata/expected/basic_statistics_numeric_float.html b/python/plugins/processing/tests/testdata/expected/basic_statistics_numeric_float.html
@@ -16,6 +16,6 @@
 <p>Majority (most frequently occurring value): -0.123</p>
 <p>First quartile: -0.0615</p>
 <p>Third quartile: 0.0615</p>
-<p>NULL (missed) values: 1</p>
+<p>NULL (missing) values: 1</p>
 <p>Interquartile Range (IQR): 0.123</p>
 </body></html>
diff --git a/python/plugins/processing/tests/testdata/expected/basic_statistics_string.html b/python/plugins/processing/tests/testdata/expected/basic_statistics_string.html
@@ -6,7 +6,7 @@
 <p>Maximum length: 4.0</p>
 <p>Mean length: 4.0</p>
 <p>Filled values: 3</p>
-<p>NULL (missed) values: 1</p>
+<p>NULL (missing) values: 1</p>
 <p>Count: 4</p>
 <p>Unique: 2</p>
 </body></html>