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-rw-r--r--numpy/lib/function_base.py6
1 files changed, 4 insertions, 2 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 2721b04dd..47b5133be 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -3870,7 +3870,7 @@ def _quantile_ureduce_func(a, q, axis=None, out=None, overwrite_input=False,
"'midpoint', or 'nearest'")
n = np.array(False, dtype=bool) # check for nan's flag
- if indices.dtype == intp: # take the points along axis
+ if np.issubdtype(indices.dtype, np.integer): # take the points along axis
# Check if the array contains any nan's
if np.issubdtype(a.dtype, np.inexact):
indices = concatenate((indices, [-1]))
@@ -4654,7 +4654,9 @@ def append(arr, values, axis=None):
>>> np.append([[1, 2, 3], [4, 5, 6]], [7, 8, 9], axis=0)
Traceback (most recent call last):
...
- ValueError: all the input arrays must have same number of dimensions
+ ValueError: all the input arrays must have same number of dimensions, but
+ the array at index 0 has 2 dimension(s) and the array at index 1 has 1
+ dimension(s)
"""
arr = asanyarray(arr)