In [5]:
import numpy as np
import boundary_layer_func1 as p1
import matplotlib.pyplot as plt
# Needed only in Jupyter to render properly in-notebook
%matplotlib inline
In [6]:
x = np.linspace(0,1,10000)
y1 = p1.v(x, 1, np.exp)[2]
y2 = p1.v(x, 0.1, np.exp)[2]
y3 = p1.v(x, 0.01, np.exp)[2]
fig = plt.figure(1)
plt.plot(x, y1, 'b')
plt.plot(x, y2, 'r')
plt.plot(x, y3, 'g')
plt.xlabel('x')
plt.ylabel('v(x)')
plt.legend(['(1 - exp(x / mu)) / (1 - exp(1 / mu))'])
plt.axis([x[0], x[-1], min(y3), max(y3)])
plt.title('Math Function')
plt.show(fig)
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