diff options
Diffstat (limited to 'numpy/lib/histograms.py')
| -rw-r--r-- | numpy/lib/histograms.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py index aa067a431..c17683c7c 100644 --- a/numpy/lib/histograms.py +++ b/numpy/lib/histograms.py @@ -884,18 +884,18 @@ def histogramdd(sample, bins=10, range=None, normed=False, weights=None): if np.isscalar(bins[i]): if bins[i] < 1: raise ValueError( - "Element at index %s in `bins` should be a positive " - "integer." % i) + '`bins[{}]` must be positive, when an integer'.format(i)) nbin[i] = bins[i] + 2 # +2 for outlier bins edges[i] = np.linspace(smin[i], smax[i], nbin[i]-1, dtype=edge_dt) else: edges[i] = np.asarray(bins[i], edge_dt) nbin[i] = len(edges[i]) + 1 # +1 for outlier bins dedges[i] = np.diff(edges[i]) + # not just monotonic, due to the use of mindiff below if np.any(np.asarray(dedges[i]) <= 0): raise ValueError( - "Found bin edge of size <= 0. Did you specify `bins` with" - "non-monotonic sequence?") + '`bins[{}]` must be strictly increasing, when an array' + .format(i)) nbin = np.asarray(nbin) |