CoCalc -- FinalGraph.ipynb

Project: Canyon Pratt - ModPhyLab-Sp18

Path: Resistance vs Temperature / FinalGraph.ipynb

Views: ¹²⁹

Kernel: Python 3 (Anaconda)

In [2]:

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import scipy.odr as odr
import math
import re
fileName = "test.csv"
myArray = np.genfromtxt("test.csv", delimiter=',')
print(myArray)
volt = myArray[:,1]
current = myArray[:,0]
for line in open("test.csv", 'r').readlines():
    if line[0] == '#':
        print (line)

[[  0.00000000e+00   1.00000000e-02   1.00000000e-02]
 [  0.00000000e+00   4.00000000e-02   4.00000000e-02]
 [  0.00000000e+00   5.00000000e-02   5.00000000e-02]
 [  0.00000000e+00   6.00000000e-02   6.00000000e-02]
 [  0.00000000e+00   7.00000000e-02   8.00000000e-02]
 [  0.00000000e+00   9.00000000e-02   9.00000000e-02]
 [  0.00000000e+00   1.00000000e-01   1.00000000e-01]
 [  0.00000000e+00   1.20000000e-01   1.20000000e-01]
 [  0.00000000e+00   1.30000000e-01   1.30000000e-01]
 [  0.00000000e+00   1.60000000e-01   1.70000000e-01]
 [  0.00000000e+00   1.80000000e-01   1.80000000e-01]
 [  0.00000000e+00   1.90000000e-01   1.90000000e-01]
 [  0.00000000e+00   2.10000000e-01   2.10000000e-01]
 [  0.00000000e+00   2.20000000e-01   2.20000000e-01]
 [  0.00000000e+00   2.30000000e-01   2.30000000e-01]
 [  0.00000000e+00   2.50000000e-01   2.50000000e-01]
 [  0.00000000e+00   2.50000000e-01   2.60000000e-01]
 [  0.00000000e+00   2.70000000e-01   2.70000000e-01]
 [  0.00000000e+00   2.80000000e-01   2.80000000e-01]
 [  0.00000000e+00   2.90000000e-01   3.00000000e-01]
 [  0.00000000e+00   3.10000000e-01   3.10000000e-01]
 [  0.00000000e+00   3.20000000e-01   3.20000000e-01]
 [  0.00000000e+00   3.30000000e-01   3.40000000e-01]
 [  0.00000000e+00   3.50000000e-01   3.50000000e-01]
 [  0.00000000e+00   3.50000000e-01   3.60000000e-01]
 [  0.00000000e+00   3.70000000e-01   3.70000000e-01]
 [  0.00000000e+00   3.80000000e-01   3.90000000e-01]
 [  0.00000000e+00   4.00000000e-01   4.00000000e-01]
 [  0.00000000e+00   4.10000000e-01   4.10000000e-01]
 [  9.70000000e-01   4.20000000e-01   4.30000000e-01]
 [  0.00000000e+00   4.40000000e-01   4.40000000e-01]
 [  0.00000000e+00   4.50000000e-01   4.50000000e-01]
 [  9.70000000e-01   4.60000000e-01   4.70000000e-01]
 [  9.70000000e-01   4.70000000e-01   4.80000000e-01]
 [  1.94000000e+00   4.90000000e-01   4.90000000e-01]
 [  9.70000000e-01   5.00000000e-01   5.00000000e-01]
 [  2.91000000e+00   5.10000000e-01   5.20000000e-01]
 [  1.94000000e+00   5.20000000e-01   5.30000000e-01]
 [  2.91000000e+00   5.30000000e-01   5.40000000e-01]
 [  3.89000000e+00   5.40000000e-01   5.60000000e-01]
 [  4.86000000e+00   5.50000000e-01   5.70000000e-01]
 [  7.77000000e+00   5.50000000e-01   5.80000000e-01]
 [  8.74000000e+00   5.60000000e-01   5.90000000e-01]
 [  1.16600000e+01   5.70000000e-01   6.10000000e-01]
 [  1.45700000e+01   5.70000000e-01   6.20000000e-01]
 [  1.65200000e+01   5.70000000e-01   6.30000000e-01]
 [  1.84600000e+01   5.80000000e-01   6.50000000e-01]
 [  2.23500000e+01   5.80000000e-01   6.60000000e-01]
 [  2.62300000e+01   5.90000000e-01   6.70000000e-01]
 [  2.81800000e+01   5.90000000e-01   6.90000000e-01]
 [  3.20600000e+01   5.90000000e-01   7.00000000e-01]
 [  3.49800000e+01   6.00000000e-01   7.10000000e-01]
 [  3.78900000e+01   6.00000000e-01   7.20000000e-01]
 [  4.08100000e+01   6.00000000e-01   7.40000000e-01]
 [  4.46900000e+01   6.00000000e-01   7.50000000e-01]
 [  4.76100000e+01   6.00000000e-01   7.60000000e-01]
 [  5.05200000e+01   6.00000000e-01   7.80000000e-01]
 [  5.34400000e+01   6.10000000e-01   7.90000000e-01]
 [  5.73300000e+01   6.10000000e-01   8.00000000e-01]
 [  6.12100000e+01   6.10000000e-01   8.10000000e-01]
 [  6.51000000e+01   6.10000000e-01   8.30000000e-01]
 [  6.70400000e+01   6.10000000e-01   8.40000000e-01]
 [  7.09300000e+01   6.20000000e-01   8.50000000e-01]
 [  7.48200000e+01   6.20000000e-01   8.70000000e-01]
 [  7.87000000e+01   6.20000000e-01   8.80000000e-01]
 [  8.16200000e+01   6.20000000e-01   8.90000000e-01]
 [  8.55000000e+01   6.20000000e-01   9.10000000e-01]
 [  8.93900000e+01   6.20000000e-01   9.20000000e-01]
 [  9.23000000e+01   6.20000000e-01   9.30000000e-01]
 [  9.61900000e+01   6.20000000e-01   9.40000000e-01]
 [  1.00080000e+02   6.20000000e-01   9.60000000e-01]
 [  1.03960000e+02   6.30000000e-01   9.70000000e-01]
 [  1.06880000e+02   6.20000000e-01   9.80000000e-01]
 [  1.10770000e+02   6.30000000e-01   1.00000000e+00]
 [  1.14650000e+02   6.30000000e-01   1.01000000e+00]
 [  1.18540000e+02   6.30000000e-01   1.02000000e+00]
 [  1.21450000e+02   6.20000000e-01   1.03000000e+00]
 [  1.26310000e+02   6.30000000e-01   1.05000000e+00]
 [  1.28250000e+02   6.30000000e-01   1.06000000e+00]
 [  1.32140000e+02   6.30000000e-01   1.07000000e+00]
 [  1.36030000e+02   6.30000000e-01   1.09000000e+00]
 [  1.39910000e+02   6.30000000e-01   1.10000000e+00]
 [  1.42830000e+02   6.30000000e-01   1.11000000e+00]
 [  1.46720000e+02   6.30000000e-01   1.13000000e+00]
 [  1.50600000e+02   6.40000000e-01   1.14000000e+00]
 [  1.54490000e+02   6.40000000e-01   1.15000000e+00]
 [  1.57400000e+02   6.40000000e-01   1.16000000e+00]
 [  1.61290000e+02   6.40000000e-01   1.18000000e+00]
 [  1.65180000e+02   6.40000000e-01   1.19000000e+00]
 [  1.69060000e+02   6.40000000e-01   1.20000000e+00]
 [  1.72950000e+02   6.40000000e-01   1.22000000e+00]
 [  1.76840000e+02   6.40000000e-01   1.23000000e+00]
 [  1.79750000e+02   6.40000000e-01   1.24000000e+00]
 [  1.83640000e+02   6.40000000e-01   1.25000000e+00]
 [  1.87520000e+02   6.40000000e-01   1.27000000e+00]
 [  1.91410000e+02   6.40000000e-01   1.28000000e+00]
 [  1.95300000e+02   6.40000000e-01   1.29000000e+00]
 [  1.99180000e+02   6.50000000e-01   1.31000000e+00]
 [  2.03070000e+02   6.50000000e-01   1.32000000e+00]
 [  2.06960000e+02   6.40000000e-01   1.33000000e+00]
 [  2.09870000e+02   6.50000000e-01   1.35000000e+00]
 [  2.15700000e+02   6.40000000e-01   1.36000000e+00]
 [  2.18620000e+02   6.50000000e-01   1.37000000e+00]
 [  2.22500000e+02   6.50000000e-01   1.38000000e+00]
 [  2.25420000e+02   6.50000000e-01   1.40000000e+00]
 [  2.28330000e+02   6.40000000e-01   1.41000000e+00]
 [  2.33190000e+02   6.50000000e-01   1.42000000e+00]
 [  2.38050000e+02   6.50000000e-01   1.44000000e+00]
 [  2.40960000e+02   6.50000000e-01   1.45000000e+00]
 [  2.44850000e+02   6.50000000e-01   1.46000000e+00]
 [  2.47770000e+02   6.50000000e-01   1.47000000e+00]
 [  2.50680000e+02   6.50000000e-01   1.49000000e+00]
 [  2.55540000e+02   6.50000000e-01   1.50000000e+00]
 [  2.58450000e+02   6.50000000e-01   1.51000000e+00]
 [  2.62340000e+02   6.50000000e-01   1.53000000e+00]
 [  2.66230000e+02   6.50000000e-01   1.54000000e+00]
 [  2.71080000e+02   6.50000000e-01   1.55000000e+00]
 [  2.74970000e+02   6.50000000e-01   1.57000000e+00]
 [  2.78860000e+02   6.50000000e-01   1.58000000e+00]
 [  2.81770000e+02   6.50000000e-01   1.59000000e+00]
 [  2.85660000e+02   6.50000000e-01   1.60000000e+00]
 [  2.89550000e+02   6.50000000e-01   1.62000000e+00]
 [  2.93430000e+02   6.50000000e-01   1.63000000e+00]
 [  2.97320000e+02   6.50000000e-01   1.64000000e+00]
 [  3.01200000e+02   6.50000000e-01   1.66000000e+00]
 [  3.05090000e+02   6.50000000e-01   1.67000000e+00]
 [  3.08010000e+02   6.50000000e-01   1.68000000e+00]
 [  3.12860000e+02   6.60000000e-01   1.69000000e+00]
 [  3.16750000e+02   6.50000000e-01   1.71000000e+00]
 [  3.19670000e+02   6.60000000e-01   1.72000000e+00]
 [  3.23550000e+02   6.60000000e-01   1.73000000e+00]
 [  3.27440000e+02   6.50000000e-01   1.75000000e+00]
 [  3.31330000e+02   6.60000000e-01   1.76000000e+00]
 [  3.35210000e+02   6.60000000e-01   1.77000000e+00]
 [  3.39100000e+02   6.60000000e-01   1.79000000e+00]
 [  3.42980000e+02   6.60000000e-01   1.80000000e+00]
 [  3.46870000e+02   6.50000000e-01   1.81000000e+00]
 [  3.50760000e+02   6.60000000e-01   1.82000000e+00]
 [  3.53670000e+02   6.60000000e-01   1.84000000e+00]
 [  3.57560000e+02   6.60000000e-01   1.85000000e+00]
 [  3.61450000e+02   6.60000000e-01   1.86000000e+00]
 [  3.65330000e+02   6.60000000e-01   1.88000000e+00]
 [  3.69220000e+02   6.60000000e-01   1.89000000e+00]
 [  3.73110000e+02   6.60000000e-01   1.90000000e+00]
 [  3.77960000e+02   6.60000000e-01   1.91000000e+00]
 [  3.80880000e+02   6.60000000e-01   1.93000000e+00]
 [  3.83790000e+02   6.60000000e-01   1.94000000e+00]
 [  3.88650000e+02   6.60000000e-01   1.95000000e+00]
 [  3.91570000e+02   6.60000000e-01   1.97000000e+00]
 [  3.96420000e+02   6.60000000e-01   1.98000000e+00]
 [  3.99340000e+02   6.60000000e-01   1.99000000e+00]
 [  4.03230000e+02   6.60000000e-01   2.01000000e+00]
 [  4.07110000e+02   6.60000000e-01   2.02000000e+00]
 [  4.11000000e+02   6.60000000e-01   2.03000000e+00]
 [  4.15860000e+02   6.70000000e-01   2.04000000e+00]
 [  4.18770000e+02   6.60000000e-01   2.06000000e+00]
 [  4.22660000e+02   6.60000000e-01   2.07000000e+00]
 [  4.26540000e+02   6.60000000e-01   2.08000000e+00]
 [  4.31400000e+02   6.70000000e-01   2.10000000e+00]
 [  4.33350000e+02   6.60000000e-01   2.11000000e+00]
 [  4.38200000e+02   6.60000000e-01   2.12000000e+00]
 [  4.42090000e+02   6.60000000e-01   2.13000000e+00]
 [  4.45010000e+02   6.60000000e-01   2.15000000e+00]
 [  4.48890000e+02   6.60000000e-01   2.16000000e+00]
 [  4.52780000e+02   6.70000000e-01   2.17000000e+00]
 [  4.56670000e+02   6.60000000e-01   2.19000000e+00]
 [  4.61520000e+02   6.70000000e-01   2.20000000e+00]
 [  4.65410000e+02   6.70000000e-01   2.21000000e+00]
 [  4.68320000e+02   6.70000000e-01   2.23000000e+00]
 [  4.71240000e+02   6.60000000e-01   2.24000000e+00]
 [  4.75130000e+02   6.60000000e-01   2.25000000e+00]
 [  4.79980000e+02   6.70000000e-01   2.26000000e+00]
 [  4.82900000e+02   6.70000000e-01   2.28000000e+00]
 [  4.87760000e+02   6.70000000e-01   2.29000000e+00]
 [  4.91640000e+02   6.70000000e-01   2.30000000e+00]
 [  4.95530000e+02   6.70000000e-01   2.32000000e+00]
 [  4.99420000e+02   6.70000000e-01   2.33000000e+00]
 [  5.02330000e+02   6.70000000e-01   2.34000000e+00]
 [  5.06220000e+02   6.70000000e-01   2.35000000e+00]
 [  5.11080000e+02   6.70000000e-01   2.37000000e+00]
 [  5.13990000e+02   6.70000000e-01   2.38000000e+00]
 [  5.17880000e+02   6.70000000e-01   2.39000000e+00]
 [  5.21760000e+02   6.70000000e-01   2.41000000e+00]
 [  5.25650000e+02   6.70000000e-01   2.42000000e+00]
 [  5.29540000e+02   6.70000000e-01   2.43000000e+00]
 [  5.33420000e+02   6.70000000e-01   2.45000000e+00]
 [  5.37310000e+02   6.70000000e-01   2.46000000e+00]
 [  5.40230000e+02   6.70000000e-01   2.47000000e+00]
 [  5.45080000e+02   6.70000000e-01   2.48000000e+00]
 [  5.48970000e+02   6.70000000e-01   2.50000000e+00]
 [  5.51880000e+02   6.70000000e-01   2.51000000e+00]
 [  5.55770000e+02   6.70000000e-01   2.52000000e+00]
 [  5.59660000e+02   6.70000000e-01   2.54000000e+00]
 [  5.63540000e+02   6.70000000e-01   2.55000000e+00]
 [  5.68400000e+02   6.70000000e-01   2.56000000e+00]
 [  5.71320000e+02   6.70000000e-01   2.57000000e+00]
 [  5.75200000e+02   6.70000000e-01   2.59000000e+00]
 [  5.79090000e+02   6.70000000e-01   2.60000000e+00]
 [  5.83950000e+02   6.70000000e-01   2.61000000e+00]
 [  5.86860000e+02   6.70000000e-01   2.63000000e+00]
 [  5.90750000e+02   6.70000000e-01   2.64000000e+00]
 [  5.93660000e+02   6.70000000e-01   2.65000000e+00]
 [  5.98520000e+02   6.70000000e-01   2.67000000e+00]
 [  6.02410000e+02   6.70000000e-01   2.68000000e+00]
 [  6.06300000e+02   6.70000000e-01   2.69000000e+00]
 [  6.09210000e+02   6.70000000e-01   2.70000000e+00]
 [  6.14070000e+02   6.70000000e-01   2.72000000e+00]
 [  6.14070000e+02   6.70000000e-01   2.73000000e+00]
 [  6.14070000e+02   6.70000000e-01   2.74000000e+00]
 [  6.14070000e+02   6.70000000e-01   2.76000000e+00]
 [  6.14070000e+02   6.70000000e-01   2.77000000e+00]
 [  6.14070000e+02   6.70000000e-01   2.78000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.79000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.81000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.82000000e+00]
 [  6.16010000e+02   6.70000000e-01   2.83000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.85000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.86000000e+00]
 [  6.14070000e+02   6.70000000e-01   2.87000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.89000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.90000000e+00]
 [  6.16010000e+02   6.70000000e-01   2.91000000e+00]
 [  6.16010000e+02   6.70000000e-01   2.92000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.94000000e+00]
 [  6.14070000e+02   6.70000000e-01   2.95000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.96000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.98000000e+00]
 [  6.15040000e+02   6.70000000e-01   2.99000000e+00]
 [  6.16010000e+02   6.70000000e-01   3.00000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.01000000e+00]
 [  6.14070000e+02   6.80000000e-01   3.03000000e+00]
 [  6.15040000e+02   6.80000000e-01   3.04000000e+00]
 [  6.15040000e+02   6.80000000e-01   3.05000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.07000000e+00]
 [  6.16010000e+02   6.80000000e-01   3.08000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.09000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.11000000e+00]
 [  6.16010000e+02   6.70000000e-01   3.12000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.13000000e+00]
 [  6.16010000e+02   6.70000000e-01   3.14000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.16000000e+00]
 [  6.14070000e+02   6.70000000e-01   3.17000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.18000000e+00]
 [  6.14070000e+02   6.70000000e-01   3.20000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.21000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.22000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.23000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.25000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.26000000e+00]
 [  6.14070000e+02   6.70000000e-01   3.27000000e+00]
 [  6.15040000e+02   6.70000000e-01   3.29000000e+00]
 [  6.15040000e+02   6.80000000e-01   3.30000000e+00]]

In [3]:

figFile = re.sub(r'csv$', "png", fileName)
print ("figFile = ", figFile)
fig = plt.figure()
ax = fig.add_subplot(111)
pl1 = ax.plot( volt, current, 'ob', label = "Data")
ax.set_ylabel("Current(mA)")
ax.set_xlabel("VOLTAGE (V)")
ax.set_title("VOLT VS. FREQUENCY")
ax.grid()
VfModel = intercept + slope * freq
ax.plot(freq, VfModel, 'r-', label = "Model")
ax.text(freq[10],2.8,"Slope = %e"%(slope))
jnk = ax.legend()
fig.savefig(figFile)

figFile =  test.png

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-3-d9539e32a6e1> in <module>()
      8 ax.set_title("VOLT VS. FREQUENCY")
      9 ax.grid()
---> 10 VfModel = intercept + slope * freq
     11 ax.plot(freq, VfModel, 'r-', label = "Model")
     12 ax.text(freq[10],2.8,"Slope = %e"%(slope))
NameError: name 'intercept' is not defined

In [0]:

In [0]:

Product

Resources

Company