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| author | Auke Wiggers <wiggers.auke@gmail.com> | 2016-02-16 19:08:25 +0100 |
|---|---|---|
| committer | Auke Wiggers <wiggers.auke@gmail.com> | 2016-02-16 19:08:25 +0100 |
| commit | 596460b7b9062fbab4c67da9a0f90736153b78b4 (patch) | |
| tree | 49ea425489cddb68c067d8f9222fa7fb443cc804 | |
| parent | c56b7d0b9fdc27da232be990eb1135de72bfe7a5 (diff) | |
| download | numpy-596460b7b9062fbab4c67da9a0f90736153b78b4.tar.gz | |
DOC: rewrite stack/concatenate reference in h/v/dstack
| -rw-r--r-- | numpy/core/shape_base.py | 8 | ||||
| -rw-r--r-- | numpy/lib/shape_base.py | 4 |
2 files changed, 6 insertions, 6 deletions
diff --git a/numpy/core/shape_base.py b/numpy/core/shape_base.py index 074be4b64..31d7d1c03 100644 --- a/numpy/core/shape_base.py +++ b/numpy/core/shape_base.py @@ -185,8 +185,8 @@ def vstack(tup): array. Rebuild arrays divided by `vsplit`. This function continues to be supported for backward compatibility, but - you should prefer ``np.concatenate`` or ``np.stack`` (keep in mind that - ``np.stack`` was added in numpy version 1.10). + you should prefer ``np.concatenate`` or ``np.stack``. The ``np.stack`` + function was added in NumPy 1.10. Parameters ---------- @@ -241,8 +241,8 @@ def hstack(tup): a single array. Rebuild arrays divided by `hsplit`. This function continues to be supported for backward compatibility, but - you should prefer ``np.concatenate`` or ``np.stack`` (keep in mind that - ``np.stack`` was added in numpy version 1.10). + you should prefer ``np.concatenate`` or ``np.stack``. The ``np.stack`` + function was added in NumPy 1.10. Parameters ---------- diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py index 88ed065e1..63f4db68e 100644 --- a/numpy/lib/shape_base.py +++ b/numpy/lib/shape_base.py @@ -326,8 +326,8 @@ def dstack(tup): 3D array for processing. This function continues to be supported for backward compatibility, but - you should prefer ``np.concatenate`` or ``np.stack`` (keep in mind that - ``np.stack`` was added in numpy version 1.10). + you should prefer ``np.concatenate`` or ``np.stack``. The ``np.stack`` + function was added in NumPy 1.10. Parameters ---------- |