Python for Science and Engg: Basic data processing (session 3)

Python for Science and Engg:Basic data processingFOSSEEDepartment of Aerospace EngineeringIIT BombaySciPy 2010, Introductory tutorials,Day 1, Session 3FOSSEE (IIT Bombay) Statistics 1 / 36Computing the meanOutline1 Computing the mean2 Processing voluminous dataData processingDictionariesVisualizing dataObtaining statisticsFOSSEE (IIT Bombay) Statistics 2 / 36Computing the meanValue of acceleration due to gravity?We already havependulum.txtqLWe know that T = 2g24 LSo g= 2TCalculate g - acceleration due to gravity for eachpair of L and THence calculate mean gFOSSEE (IIT Bombay) Statistics 3 / 36Computing the meanAcceleration due to gravity - g. . .In []: g_list = []In []: for line in open(’pendulum.txt’):.... point = line.split() L = float(point[0]).... t = float(point[1]) g = 4 pi pi L / (t t)* * * *.... g_list.append(g)FOSSEE (IIT Bombay) Statistics 4 / 36Computing the meanMean g - Classical methodIn []: total = 0In []: for g in g_list:....: total += gIn []: g_mean = total / len(g_list)In []: print ’Mean: ’, g_meanFOSSEE (IIT Bombay) Statistics 5 / 36Computing the meanMean g - Slightly improved methodIn []: g_mean = sum(g_list) / len(g_list)In []: print ’Mean: ’, g_meanFOSSEE (IIT Bombay) Statistics 6 / 36Computing the meanMean g - One linerIn []: g_mean = mean(g_list)In []: print ’Mean: ’, g_mean10 mFOSSEE (IIT Bombay) Statistics 7 / 36Processing voluminous dataOutline1 Computing the mean2 Processing voluminous ...