from math import * def distance(x1,y1,x2,y2): d1=sqrt((x2-x1)**2 + (y2-y1)**2) return d1 def process(xp,yp,mean1,mean2): close1x=[] close1y=[] close2x=[] close2y=[] # Code goes here return close1x,close1y,close2x,close2y def centroid(listX,listY): sX=0 sY=0 # find the centroid return [float(sX)/len(listX),float(sY)/len(listY)] #return [x,y] of #the averages of xSum, ySum xp=[1,2,3,4,5,6,7,8] yp=[.5,1,1.5,2,2.5,3,3.5,4] mean1=[2,3] mean2=[5,2] close1x,close1y,close2x,close2y=process(xp,yp,mean1,mean2) print "xp: %s, yp: %s,\nmean1: %s, mean2: %s" % (xp,yp,mean1,mean2) print "x,y points:" for i in range(len(xp)): print "(%s,%s)" % (xp[i],yp[i]) print "close1x:%s, close1y:%s,\nclose2x:%s, close2y:%s" % (close1x,close1y,close2x,close2y) print "x,y points closest to mean1:" for i in range(len(close1x)): print "(%s,%s)" % (close1x[i],close1y[i]) print "x,y points closest to mean2:" for i in range(len(close2x)): print "(%s,%s)" % (close2x[i],close2y[i]) print "Mean1: %s Centroid1: %s" % (mean1,centroid(close1x,close1y)) print "Mean2: %s Centroid2: %s" % (mean2,centroid(close2x,close2y))
send your typed in .py file to rdlatimer@fcps.edu def printBoard(board,rows,cols): for r in range(rows): for c in range(cols): index = r*cols + c print "%3d" % (board[index]), print def fillBoardNonRandom(): board=[1,1,1,1,2,0,2,0, 1,0,2,1,0,1,2,2, 2,2,1,2,1,0,0,2, 0,1,2,0,2,2,2,1, 2,2,2,1,1,2,1,2, 2,2,1,1,0,1,1,2, 2,2,2,2,1,1,2,2, 0,2,2,2,1,1,1,2] return board def getSegregatedCells(board,rows,cols): # returns a list of cells segregated=[0] # having no neighbors of another type unsegregated=[2] # . . . return segregated,unsegregated rows=8 cols=8 board=fillBoardNonRandom() printBoard(board,rows,cols) segregated,unsegregated=getSegregatedCells(board,rows,cols) print "Segregated cells: %s, unsegregated: %s" % (segregated,unsegregated) print for i in range(len(segregated)): print "index %d: (%d,%d)" % (segregated[i],segregated[i]%cols,int(segregated[i]/cols)) proportion=float(len(segregated))/len(unsegregated) print "Proportion of segregated cells: %.2f (%d/%d)" % (proportion,len(segregated),len(unsegregated))