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authorEric Wieser <wieser.eric@gmail.com>2019-04-23 01:55:21 -0700
committerEric Wieser <wieser.eric@gmail.com>2019-04-23 22:48:02 -0700
commit9a23f16b67958205468f7f5c4e0966f393558d9a (patch)
tree9f42fe0fec010d33a0708a16f9d7af13c71b1c73 /numpy/lib/function_base.py
parentf91b033aa35b929610c0db12f16b1b0c1ddc08e6 (diff)
downloadnumpy-9a23f16b67958205468f7f5c4e0966f393558d9a.tar.gz
ENH: Add support for Fraction to percentile and quantile
With true division available, using `.0` to convert integers to floats offers no value, and harms compatibility with precise rational types.
Diffstat (limited to 'numpy/lib/function_base.py')
-rw-r--r--numpy/lib/function_base.py5
1 files changed, 3 insertions, 2 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 2e82fa075..cab680751 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -3706,7 +3706,8 @@ def percentile(a, q, axis=None, out=None,
plt.show()
"""
- q = np.true_divide(q, 100.0) # handles the asarray for us too
+ q = np.true_divide(q, 100)
+ q = asanyarray(q) # undo any decay that the ufunc performed (see gh-13105)
if not _quantile_is_valid(q):
raise ValueError("Percentiles must be in the range [0, 100]")
return _quantile_unchecked(
@@ -3924,7 +3925,7 @@ def _quantile_ureduce_func(a, q, axis=None, out=None, overwrite_input=False,
indices_above = concatenate((indices_above, [-1]))
weights_above = indices - indices_below
- weights_below = 1.0 - weights_above
+ weights_below = 1 - weights_above
weights_shape = [1, ] * ap.ndim
weights_shape[axis] = len(indices)