Small updates

pywafo/src/wafo/demos.py

@@ -18,11 +18,11 @@ def magic(n):
     
     '''
     if np.mod(n,1)==1: # odd order
-        ix = np.arange(n)+1
+        ix = np.arange(n) + 1
-        J, I = np.meshgrid(ix,ix)
+        J, I = np.meshgrid(ix, ix)
-        A = np.mod(I+J-(n+3)/2,n)
+        A = np.mod(I + J - (n + 3) / 2, n)
-        B = np.mod(I+2*J-2,n)
+        B = np.mod(I + 2 * J - 2, n)
-        M = n*A + B + 1
+        M = n * A + B + 1
         
     return M
 
@@ -33,7 +33,7 @@ def peaks(x=None, y=None, n=51):
     
     Example
     -------
-    >>> import pylab as plt
+    >>> import matplotlib.pyplot as plt
     >>> x,y,z = peaks()
     >>> h = plt.contourf(x,y,z)
     
@@ -54,6 +54,13 @@ def peaks(x=None, y=None, n=51):
 def humps(x=None):
     '''
     Computes a function that has three roots, and some humps.
+    
+     Example
+    -------
+    >>> import matplotlib.pyplot as plt
+    >>> x = np.linspace(0,1)
+    >>> y = humps(x)
+    >>> h = plt.plot(x,y)
     '''
     if x is None:
         y = np.linspace(0, 1)
@@ -63,4 +70,4 @@ def humps(x=None):
     return 1.0 / ((y - 0.3) ** 2 + 0.01) + 1.0 / ((y - 0.9) ** 2 + 0.04) + 2 * y - 5.2
 
 if __name__ == '__main__':
-    pass
+    pass

pywafo/src/wafo/integrate.py

@@ -1136,7 +1136,7 @@ def richardson(Q, k):
     R = Q[k] + (Q[k] - Q[k - 1]) / c
     return R
 
-def quadgr(fun, a, b, abseps=1e-5):
+def quadgr(fun, a, b, abseps=1e-5, maxiter=17):
     '''
     Gauss-Legendre quadrature with Richardson extrapolation.
 
@@ -1218,7 +1218,7 @@ def quadgr(fun, a, b, abseps=1e-5):
             Q = -Q
         return Q, err
 
-    #% Gauss-Legendre quadrature (12-point)
+    # Gauss-Legendre quadrature (12-point)
     xq = np.asarray([0.12523340851146894, 0.36783149899818018, 0.58731795428661748,
           0.76990267419430469, 0.9041172563704748, 0.98156063424671924])
     wq = np.asarray([0.24914704581340288, 0.23349253653835478, 0.20316742672306584,
@@ -1232,8 +1232,8 @@ def quadgr(fun, a, b, abseps=1e-5):
 #    else:
     dtype = np.float64
 
-    #% Initiate vectors
+    # Initiate vectors
-    max_iter = 17                 # Max number of iterations
+#    max_iter = 17                 # Max number of iterations
     Q0 = zeros(max_iter, dtype=dtype)       	# Quadrature
     Q1 = zeros(max_iter, dtype=dtype)       	# First Richardson extrapolation
     Q2 = zeros(max_iter, dtype=dtype)       	# Second Richardson extrapolation
@@ -1480,10 +1480,12 @@ def main():
     q0 = np.trapz(humps(x), x)
     [q, err] = romberg(humps, 0, np.pi / 2, 1e-4)
     print q, err
+    
 def test_docstrings():
     np.set_printoptions(precision=7)
     import doctest
     doctest.testmod()
+    
 if __name__ == '__main__':
     test_docstrings()
     #main()