Data analysis
Data analysis
AIM:
- Take column numbers as the input and plot the respective columns as separate images
- Each file should be saved by the name of the colum
- Label information should automatically be extracted and must appear as labels in the plots
PROGRAM
import matplotlib.pyplot as plt
import numpy as np
from numpy import trapz
fname = input("Enter the filename: ")
if fname == 'engine_data.out':
print('file is valid')
else:
print('file is invalid')
exit()
def compatibility_check(a):
if 'CONVERGE' not in a:
print('please provide converge output file to process')
exit()
else:
print('compatibility check is successful')
pass
FILE = []
for line in open(fname):
if '#' in line:
FILE.append(line.split())
compatibility_check(FILE[0])
noc = len(FILE[1])
head = len(FILE[2])
col_no = []
col_val = []
col_units = []
z = FILE[1].index('column')
for i in range(z,noc-1):
col_no.append(i)
for j in FILE[2]:
if j is not '#':
col_val.append(j)
for k in FILE[3]:
if k is not '#':
col_units.append(k)
print('data available are:')
for a in range(1,len(col_no)):
print(a,col_val[a],col_units[a])
xaxis = int(input('Enter xaxis column no:'))-1
yaxis = int(input('Enter yaxis column no:'))-1
x = []
y = []
for line in open(fname):
if '#' not in line:
x.append(float(line.split()[xaxis]))
y.append(float(line.split()[yaxis]))
plt.plot(x,y,linewidth=1.5)
plt.xlabel(col_val[xaxis])
plt.ylabel(col_val[yaxis])
plt.show()
pressure = []
vol = []
for line in open(fname):
if '#' not in line:
pressure.append(float(line.split()[1]))
vol.append(float(line.split()[7]))
Pressure = 1e6*np.array(pressure)
Volume = np.array(vol)
area = np.trapz(Pressure,Volume)
print('workdone =',area, 'joules')
cyclepersec = 750/60
power = area*(cyclepersec/1000)
print('power=',power,'kw')
mass_flow = 20e-6
sfc = mass_flow*3600/power
print('specific fuel consumption =',sfc,'g/kwh')
RESULTS

workdone = 500.5866274680076 joules
power= 6.257332843350095 kw
specific fuel consumption = 0.011506499942146618 g/kwh
