Fixed error message in Qt.py

Made scipy optional in functions and ImageItem

Qt.py

@@ -44,5 +44,5 @@ QtVersion = PySide.QtCore.__version__ if USE_PYSIDE else QtCore.QT_VERSION_STR
 m = re.match(r'(\d+)\.(\d+).*', QtVersion)
 if m is not None and map(int, m.groups()) < versionReq:
     print map(int, m.groups())
-    raise Exception('pyqtgraph requires Qt version >= %d.%d  (your version is %s)' % (versionReq + (QtVersion,)))
+    raise Exception('pyqtgraph requires Qt version >= %d.%d  (your version is %s)' % (versionReq[0], versionReq[1], QtVersion))
 

functions.py

@@ -24,13 +24,18 @@ SI_PREFIXES_ASCII = 'yzafpnum kMGTPEZY'
 
 from .Qt import QtGui, QtCore
 import numpy as np
-import scipy.ndimage
 import decimal, re
+
 try:
+    import scipy.ndimage
+    HAVE_SCIPY = True
+    try:
         import scipy.weave
         USE_WEAVE = True
-except:
+    except:
         USE_WEAVE = False
+except ImportError:
+    HAVE_SCIPY = False
 
 from . import debug
 
@@ -401,6 +406,8 @@ def affineSlice(data, shape, origin, vectors, axes, order=1, returnCoords=False,
         affineSlice(data, shape=(20,20), origin=(40,0,0), vectors=((-1, 1, 0), (-1, 0, 1)), axes=(1,2,3))
     
     """
+    if not HAVE_SCIPY:
+        raise Exception("This function requires the scipy library, but it does not appear to be importable.")
 
     # sanity check
     if len(shape) != len(vectors):
@@ -535,6 +542,8 @@ def solve3DTransform(points1, points2):
     Find a 3D transformation matrix that maps points1 onto points2
     points must be specified as a list of 4 Vectors.
     """
+    if not HAVE_SCIPY:
+        raise Exception("This function depends on the scipy library, but it does not appear to be importable.")
     A = np.array([[points1[i].x(), points1[i].y(), points1[i].z(), 1] for i in range(4)])
     B = np.array([[points2[i].x(), points2[i].y(), points2[i].z(), 1] for i in range(4)])
     
@@ -554,6 +563,8 @@ def solveBilinearTransform(points1, points2):
     
         mapped = np.dot(matrix, [x*y, x, y, 1])
     """
+    if not HAVE_SCIPY:
+        raise Exception("This function depends on the scipy library, but it does not appear to be importable.")
     ## A is 4 rows (points) x 4 columns (xy, x, y, 1)
     ## B is 4 rows (points) x 2 columns (x, y)
     A = np.array([[points1[i].x()*points1[i].y(), points1[i].x(), points1[i].y(), 1] for i in range(4)])
@@ -1365,6 +1376,9 @@ def invertQTransform(tr):
     bugs in that method. (specifically, Qt has floating-point precision issues
     when determining whether a matrix is invertible)
     """
+    if not USE_WEAVE:
+        raise Exception("This function depends on scipy.weave library, but it does not appear to be usable.")
+    
     #return tr.inverted()[0]
     arr = np.array([[tr.m11(), tr.m12(), tr.m13()], [tr.m21(), tr.m22(), tr.m23()], [tr.m31(), tr.m32(), tr.m33()]])
     inv = scipy.linalg.inv(arr)

graphicsItems/ImageItem.py

@@ -1,11 +1,6 @@
 from pyqtgraph.Qt import QtGui, QtCore
 import numpy as np
 import collections
-try:
-    import scipy.weave as weave
-    from scipy.weave import converters
-except:
-    pass
 import pyqtgraph.functions as fn
 import pyqtgraph.debug as debug
 from .GraphicsObject import GraphicsObject