Fix ticket #188 by returning the name of the dtype objects for data-type objects without fields or sub-arrays that are in correct byte-order

2 files changed, 5 insertions, 3 deletions

diff --git a/numpy/lib/twodim_base.py b/numpy/lib/twodim_base.py
index 512b6bf53..d79fd03c6 100644
--- a/numpy/lib/twodim_base.py
+++ b/numpy/lib/twodim_base.py
@@ -143,7 +143,7 @@ def vander(x, N=None):
         X[:,i] = x**(N-i-1)
     return X
 
-def  histogram2d(x,y, bins=10, range=None, normed=False):
+def histogram2d(x,y, bins=10, range=None, normed=False):
     """histogram2d(x,y, bins=10, range=None, normed=False) -> H, xedges, yedges
     
     Compute the 2D histogram from samples x,y. 
@@ -159,7 +159,6 @@ def  histogram2d(x,y, bins=10, range=None, normed=False):
     The histogram array is a count of the number of samples in each 
     two dimensional bin. 
     Setting normed to True returns a density rather than a bin count. 
-    Data falling outside of the edges are not counted.
     """
     import numpy as np
     try:
diff --git a/numpy/lib/utils.py b/numpy/lib/utils.py
index b6ee51b91..981ec6de5 100644
--- a/numpy/lib/utils.py
+++ b/numpy/lib/utils.py
@@ -238,7 +238,10 @@ def info(object=None,maxwidth=76,output=sys.stdout,toplevel='numpy'):
 
     if object is None:
         info(info)
-    elif isinstance(object, types.StringType):
+    elif isinstance(object, ndarray):
+        import numpy.numarray as nn
+        nn.info(object, output=output, numpy=1)
+    elif isinstance(object, str):
         if _namedict is None:
             _namedict, _dictlist = _makenamedict(toplevel)
         numfound = 0