Python Dataset.getColumns Examples

Example #1

File: preprocessor.py Project: PanosRCng/suitaby_python_tools

def changeURLs(dataLines):

	changedUrlsLines = []

	dataset = Dataset(dataLines)

	for line in dataset.dataLines:

		columns = dataset.getColumns(line)
		columns['url'] = Brand.brandsUrls[ columns['brand'] ]
		changedUrlsLines.append( dataset.getLine(columns) )

	return changedUrlsLines

Example #2

File: preprocessor.py Project: PanosRCng/suitaby_python_tools

def fixSizeTypes(dataLines):
		
	fixedDataLines = []

	dataset = Dataset(dataLines)

	for line in dataset.dataLines:

		columns = dataset.getColumns(line)
		columns['size_type'] = columns['size_type'].replace(" ", "_")
		fixedDataLines.append( dataset.getLine(columns) )

	return fixedDataLines

Example #3

File: preprocessor.py Project: PanosRCng/suitaby_python_tools

def mergeSynonymousSizeTypes(dataLines):
		
	mergedDataLines = []

	dataset = Dataset(dataLines)

	for line in dataset.dataLines:

		columns = dataset.getColumns(line)

		if columns['size_type'] in SizeType.mergedSizeTypes:
			columns['size_type'] = SizeType.mergedSizeTypes[ columns['size_type'] ]

		mergedDataLines.append( dataset.getLine(columns) )

	return mergedDataLines

Example #4

File: preprocessor.py Project: PanosRCng/suitaby_python_tools

def doUpperCase(dataLines):
		
	upperCaseLines = []

	dataset = Dataset(dataLines)

	for line in dataset.dataLines:

		columns = dataset.getColumns(line)

		columns['size_type'] = columns['size_type'].upper()
		columns['label'] = columns['label'].upper()
		columns['brand'] = columns['brand'].upper()
		columns['clothe_category'] = columns['clothe_category'].upper()
		columns['size_category'] = columns['size_category'].upper()
		columns['gender'] = columns['gender'].upper()

		upperCaseLines.append( dataset.getLine(columns) )

	return upperCaseLines