csvReader.py
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csvReader.py
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	import csv

	SVG_NS = "http://www.w3.org/2000/svg"



	#---------------------------------------------------------
	# Detects wheter data seems to be of Boolean type
	def allDataBoolean(data):
	for i in data:
	if not ( i == 0 or i == 1 ):
	return False
	return True

	# Detects wheter data seems to be of Integer type
	def allDataInteger(data):
	for i in data:
	if not isinstance(item, int):
	return False
	return True

	# Detects wheter data seems to be of Percentage type
	def allDataPercentage(data):
	for i in data:
	if ( 1<0 or i>100 ):
	return False
	return True
	#---------------------------------------------------------

	# Read a CSV file, returns a dict. Useful to populate self.data of a csvDataReader
	def readFile(inFile):
	data = {}
	with open(inFile, 'rt') as f:
	for line in f:
	line = line.rstrip('\n')
	key = ( line.split("\t") )[0]
	value = ( line.split("\t") )[1]
	data[key] = value
	return data

	#---------------------------------------------------------

	#=========================================
	# Class to handle CSV data
	class csvReader:

	def __init__(self, arg):
	self.infile = arg
	self.data = readFile(self.infile)

	def getLabels(self):
	return self.data.keys()

	def prettyPrint(self):
	line = "Data of file \""+ self.infile +"\":"
	horizontalBar = "+"+"-"*(len(line) + 2)+"+"
	print (horizontalBar)
	print ("\| "+line+" \|")
	print (horizontalBar)
	for i in self.data.keys():
	print( "\t",i,"\t",self.data[i])
	print (horizontalBar+"\n")

	# Detects if the numerical data is Boolean, Intergers, Percentages or just plain Reals.
	def detectDataType(self):
	dataToTest = self.data.values()
	if( allDataBoolean( dataToTest ) ):
	return "bool"
	if( allDataInteger( dataToTest ) ):
	return "int"
	if( allDataPercentage( dataToTest ) ):
	return "percent"
	return "real"

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