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| author | Travis Oliphant <oliphant@enthought.com> | 2006-09-16 02:08:59 +0000 |
|---|---|---|
| committer | Travis Oliphant <oliphant@enthought.com> | 2006-09-16 02:08:59 +0000 |
| commit | 8b6db6e885dec95dda7bbe2001d95bdee63e6cf1 (patch) | |
| tree | 66e012c2479c69c935529d6f56488829f2433995 /numpy/lib/twodim_base.py | |
| parent | f74f1d14f0768650a7dd5327944ddcc82f0d892d (diff) | |
| download | numpy-8b6db6e885dec95dda7bbe2001d95bdee63e6cf1.tar.gz | |
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
Diffstat (limited to 'numpy/lib/twodim_base.py')
| -rw-r--r-- | numpy/lib/twodim_base.py | 3 |
1 files changed, 1 insertions, 2 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: |