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authorJohannes Schönberger <jschoenberger@demuc.de>2013-05-24 19:10:11 +0200
committerJohannes Schönberger <jschoenberger@demuc.de>2013-06-06 21:15:45 +0200
commit7759766618a3d0db557d4483ebcc5b7a2d919c0a (patch)
tree2102b82bef763dcff226b316576cb42b46156f4f /numpy/core/numeric.py
parentb4b20dc8b22e96717ac7c6388256fd1ed72d24b4 (diff)
downloadnumpy-7759766618a3d0db557d4483ebcc5b7a2d919c0a.tar.gz
Update default dtype of filled function in doc string
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r--numpy/core/numeric.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index eb70c2e04..604ff2dd6 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -249,7 +249,7 @@ def filled(shape, fill_value, dtype=None, order='C'):
Fill value.
dtype : data-type, optional
The desired data-type for the array, e.g., `numpy.int8`. Default is
- `numpy.float64`.
+ is chosen as `np.array(fill_value).dtype`.
order : {'C', 'F'}, optional
Whether to store multidimensional data in C- or Fortran-contiguous
(row- or column-wise) order in memory.