Week 5 - Curve fitting

""" Demonstrating file parsing in python """ # Import modules import matplotlib.pyplot as plt # Basic Initialisation line_count = 1 crank = [] pressure = [] temperature = [] volume = [] # File parsing starts here for line in open('engine_data.out'): if '#' not in line: crank.append(float(line.split()[0])) pressure.append(float(line.split()[1]))…

1. The popt are best fit argument for the variables. pcov variable contains the covariance matrix which indicates uncertainities and correlations between parameters. This is mostly useful when data has uncertainities. 2. np.array() is used so that array operations can be used on the list of temperatures. It is a part of…

SOLVING 2ND ORDER ODE USING PYTHON   INTRODUCTION: ODE's represent the transient behaviour of a system, for example as of a pendulim. The pendulum has a string attached at one end and a bob is attachedat the other end.  If an initial velocity is given , the bobs starts swinging but the amplitudeof osciattion…

#program to plot pv diagram for otto cycle and thermal efficiency of the cycle import math import matplotlib.pyplot as plt def engine_kinematics(bore, stroke, con_rod, cr, crank_start,crank_end): #inputs bore = 0.1 stroke = 0.1 con_rod = 0.15 cr = 12 #crank pin radius a = stroke /2 R = con_rod / a # volume trace v_s =…