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scientificComputing/resources/python/tutorial/06functions.py

35 lines
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Python

from numpy import *
from matplotlib.pyplot import *
# functions are defined via def (don't forget the :)
# return is defined via the return keyword
def myfunc(x):
tmp = 2*x**3. + 5
return tmp
# when using more parameters one can give them default values
def myfunc2(x, a=1., b=5.):
return (x - a)**2. + b
############# main program below (old stuff) ##############
x = linspace(-2., 2., 100)
fig = figure()
ax = fig.add_subplot(1,1,1)
ax.plot(x, myfunc(x), color='r', linewidth=2, label='myfunc')
ax.plot(x, myfunc2(x, 2., 4.), color='b', linewidth=2, label=r'myfunc2 a=2, b=4')
ax.plot(x, myfunc2(x, 2.), color='g', linewidth=2, label=r'myfunc2 a=2, b=default')
ax.plot(x, myfunc2(x, b=2.), color='y', linewidth=2, label=r'myfunc2 a=default, b=2')
ax.set_xlabel('x values')
ax.set_ylabel(r'$f(x)$')
ax.set_title('functions')
leg = ax.legend()
show() # show plot