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| author | Importance of Being Ernest <elch.rz@ruetz-online.de> | 2017-04-23 15:01:23 +0200 |
|---|---|---|
| committer | Eric Wieser <wieser.eric@gmail.com> | 2017-04-23 14:01:23 +0100 |
| commit | 704c9cca7cb82cbe7077c7e69ebe21a9c00250ba (patch) | |
| tree | 8805943970319d543813cd7423b35d893010db95 /numpy/lib/twodim_base.py | |
| parent | fdedc3b8357debc9eae11a9ab3f7ff2b71b9cf27 (diff) | |
| download | numpy-704c9cca7cb82cbe7077c7e69ebe21a9c00250ba.tar.gz | |
DOC: Correct shape of edges in np.histogram2d (#8980)
If nx and ny are the bin counts (as stated in the bins argument's text), then the return H has indeed shape (nx, ny). However, the returned xedges and yedges will then have shape (nx+1,) and (ny+1,) respectively.
Fixes #8979
Diffstat (limited to 'numpy/lib/twodim_base.py')
| -rw-r--r-- | numpy/lib/twodim_base.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/lib/twodim_base.py b/numpy/lib/twodim_base.py index 8cf2ec091..28ebb8cbd 100644 --- a/numpy/lib/twodim_base.py +++ b/numpy/lib/twodim_base.py @@ -569,9 +569,9 @@ def histogram2d(x, y, bins=10, range=None, normed=False, weights=None): The bi-dimensional histogram of samples `x` and `y`. Values in `x` are histogrammed along the first dimension and values in `y` are histogrammed along the second dimension. - xedges : ndarray, shape(nx,) + xedges : ndarray, shape(nx+1,) The bin edges along the first dimension. - yedges : ndarray, shape(ny,) + yedges : ndarray, shape(ny+1,) The bin edges along the second dimension. See Also |