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-rw-r--r--numpy/lib/histograms.py26
1 files changed, 26 insertions, 0 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py
index f03f30fb0..1ff25b81f 100644
--- a/numpy/lib/histograms.py
+++ b/numpy/lib/histograms.py
@@ -8,6 +8,7 @@ import warnings
import numpy as np
from numpy.compat.py3k import basestring
+from numpy.core.overrides import array_function_dispatch
__all__ = ['histogram', 'histogramdd', 'histogram_bin_edges']
@@ -220,6 +221,14 @@ _hist_bin_selectors = {'auto': _hist_bin_auto,
def _ravel_and_check_weights(a, weights):
""" Check a and weights have matching shapes, and ravel both """
a = np.asarray(a)
+
+ # Ensure that the array is a "subtractable" dtype
+ if a.dtype == np.bool_:
+ warnings.warn("Converting input from {} to {} for compatibility."
+ .format(a.dtype, np.uint8),
+ RuntimeWarning, stacklevel=2)
+ a = a.astype(np.uint8)
+
if weights is not None:
weights = np.asarray(weights)
if weights.shape != a.shape:
@@ -392,6 +401,11 @@ def _search_sorted_inclusive(a, v):
))
+def _histogram_bin_edges_dispatcher(a, bins=None, range=None, weights=None):
+ return (a, bins, weights)
+
+
+@array_function_dispatch(_histogram_bin_edges_dispatcher)
def histogram_bin_edges(a, bins=10, range=None, weights=None):
r"""
Function to calculate only the edges of the bins used by the `histogram` function.
@@ -586,6 +600,12 @@ def histogram_bin_edges(a, bins=10, range=None, weights=None):
return bin_edges
+def _histogram_dispatcher(
+ a, bins=None, range=None, normed=None, weights=None, density=None):
+ return (a, bins, weights)
+
+
+@array_function_dispatch(_histogram_dispatcher)
def histogram(a, bins=10, range=None, normed=None, weights=None,
density=None):
r"""
@@ -838,6 +858,12 @@ def histogram(a, bins=10, range=None, normed=None, weights=None,
return n, bin_edges
+def _histogramdd_dispatcher(sample, bins=None, range=None, normed=None,
+ weights=None, density=None):
+ return (sample, bins, weights)
+
+
+@array_function_dispatch(_histogramdd_dispatcher)
def histogramdd(sample, bins=10, range=None, normed=None, weights=None,
density=None):
"""