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Python Analysis.writeData方法代码示例

本文整理汇总了Python中Analysis.writeData方法的典型用法代码示例。如果您正苦于以下问题:Python Analysis.writeData方法的具体用法?Python Analysis.writeData怎么用?Python Analysis.writeData使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在Analysis的用法示例。


在下文中一共展示了Analysis.writeData方法的1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,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: __init__

# 需要导入模块: import Analysis [as 别名]
# 或者: from Analysis import writeData [as 别名]

#.........这里部分代码省略.........
		self.size = None
		self.color = None
		
		#check to see if there is any data in the set after filters applied
		if( self.dataObject.filtersize() == 0):
			tkMessageBox.showwarning("No data!","Remove Filters from the data or load a different data set!")
			return
		
		print "handling command button 4"
		
		# run pca on all of the numerical data
		self.Analysis = Analysis(name = "PCA", data = self.dataObject.getData_num())
		#dictioanry that will store the headers for the pca analsysis plots
		self.pcadataHeader = {}
		# this will run the dialog for pca
		inputBox = PCADialog(parent = self.root, pcaDataHeader = self.pcadataHeader, displayClass = self, Analysis = self.Analysis)
		
		
		if( self.pcadataHeader['check'] == True):
			self.xAxisLabel.set( self.pcadataHeader.get('x') )
			self.yAxisLabel.set( self.pcadataHeader.get('y') )
			z = self.pcadataHeader.get('z')
			#z is optional
			if( z == None ):
				z = ""
			self.zAxisLabel.set(z)
			self.buildLabels()
			#graphs the pca points
			self.buildPCA()
			
			if( self.pcadataHeader.get('saveData') ):
				filename = self.pcadataHeader.get('filename')
				filename = filename + ".csv"
				self.Analysis.writeData(filename = filename)
		
	#This method will open up the filter choice menu dialog where the user will
	#be able to choose which fitlers to add/remove from the data.
	#this will also have an option for removing missing data.
	def filterData(self, event=None):
		#check to see if the data is loaded
		test = self.checkData()
		if( test == False):
			return
		a = filterDialog(parent = self.root, displayClass = self, dataObj = self.dataObject, title = "Filter")
		
		return
	
	# This method will open the countInfo Dialog box where the user can count the number
	# of data points that meet two conditions which will be saved in the data object
	def countData(self, event = None):
		#check to see if the data is loaded
		test = self.checkData()
		if( test == False):
			return
		#open dialog
		temp = countInfo(parent = self.root, dataObject = self.dataObject, title = "Count Occurrences within the Data:")
		return
	
	# this method will run the kmeans clustering algorithm on the loaded data
	# a popup dialog will appear with options for the user to choose which columns
	# to run on the kmeans clustering. Default being use all numeric columns
	# the user can also choose the number of clusters to have and the name
	# of this cluster run
	def handleCmd1(self, event = None):
		#check to see if the data is loaded
		test = self.checkData()
开发者ID:ChrisHoder,项目名称:Projects,代码行数:70,代码来源:ProjectDisplay.py


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