50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
|
import matplotlib.pyplot as plt
|
||
|
|
import numpy as np
|
||
|
|
import csv
|
||
|
|
|
||
|
|
|
||
|
|
def main():
|
||
|
|
plot2(open_CSV('R=0.csv'), open_CSV('R=100.csv'))
|
||
|
|
|
||
|
|
|
||
|
|
def open_CSV(filename):
|
||
|
|
with open('/home/dmitrii/Physics Labs/3.2.5/' + filename, newline="") as csvfile:
|
||
|
|
datareader = csv.reader(csvfile, delimiter=",", quotechar="|")
|
||
|
|
data = []
|
||
|
|
for row in datareader:
|
||
|
|
res = [float(i) for i in row]
|
||
|
|
data.append(res)
|
||
|
|
data = np.array(data)
|
||
|
|
return data
|
||
|
|
|
||
|
|
|
||
|
|
def plot2(data1, data2):
|
||
|
|
U_1 = max(data1[:, 0])
|
||
|
|
U_2 = max(data2[:, 0])
|
||
|
|
print(U_1, U_2)
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
y1 = data1[:, 0]/U_1
|
||
|
|
x1 = data1[:, 1]/1550
|
||
|
|
y2 = data2[:, 0]/U_2
|
||
|
|
x2 = data2[:, 1]/1558
|
||
|
|
ax.scatter(x1, y1, color='green', label='0 Ом', marker='+', s=150)
|
||
|
|
ax.scatter(x2, y2, color='orange', label='100 Oм', marker='+', s=150)
|
||
|
|
ax.legend(fontsize=16)
|
||
|
|
ax.grid()
|
||
|
|
plt.ylabel(r'$U/U_{m}$', fontsize=18)
|
||
|
|
plt.xlabel(r'$\nu/\nu_{m}$', fontsize=18)
|
||
|
|
ar1 = sorted(data1[:, 1])
|
||
|
|
ar2 = sorted(data2[:, 1])
|
||
|
|
plt.show()
|
||
|
|
delta1 = ar1[len(data1)-1] - ar1[0]
|
||
|
|
delta2 = ar2[len(data2)-1]-ar2[0]
|
||
|
|
Q1 = 1550/63
|
||
|
|
Q2 = 1550/220
|
||
|
|
print(Q1, Q2)
|
||
|
|
|
||
|
|
|
||
|
|
# def plot(data):
|
||
|
|
# x1=
|
||
|
|
if __name__ == '__main__':
|
||
|
|
main()
|