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| author | Henke Adolfsson <catears@catears.se> | 2017-10-16 08:42:50 +0200 |
|---|---|---|
| committer | Henke Adolfsson <catears@catears.se> | 2017-10-16 08:42:50 +0200 |
| commit | ce1a3b7898484d244806fccc7c52840c11ac98f2 (patch) | |
| tree | 85999d330d02fb530e203996ba0e03fcce759268 /numpy/lib/arraypad.py | |
| parent | 56a29d2ca6f9543240a755bf9e4312b1467fe59b (diff) | |
| download | numpy-ce1a3b7898484d244806fccc7c52840c11ac98f2.tar.gz | |
DOC: Update arraypad to use np.pad in examples
Diffstat (limited to 'numpy/lib/arraypad.py')
| -rw-r--r-- | numpy/lib/arraypad.py | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/numpy/lib/arraypad.py b/numpy/lib/arraypad.py index b8966e543..153b4af65 100644 --- a/numpy/lib/arraypad.py +++ b/numpy/lib/arraypad.py @@ -1228,26 +1228,26 @@ def pad(array, pad_width, mode, **kwargs): Examples -------- >>> a = [1, 2, 3, 4, 5] - >>> np.lib.pad(a, (2,3), 'constant', constant_values=(4, 6)) + >>> np.pad(a, (2,3), 'constant', constant_values=(4, 6)) array([4, 4, 1, 2, 3, 4, 5, 6, 6, 6]) - >>> np.lib.pad(a, (2, 3), 'edge') + >>> np.pad(a, (2, 3), 'edge') array([1, 1, 1, 2, 3, 4, 5, 5, 5, 5]) - >>> np.lib.pad(a, (2, 3), 'linear_ramp', end_values=(5, -4)) + >>> np.pad(a, (2, 3), 'linear_ramp', end_values=(5, -4)) array([ 5, 3, 1, 2, 3, 4, 5, 2, -1, -4]) - >>> np.lib.pad(a, (2,), 'maximum') + >>> np.pad(a, (2,), 'maximum') array([5, 5, 1, 2, 3, 4, 5, 5, 5]) - >>> np.lib.pad(a, (2,), 'mean') + >>> np.pad(a, (2,), 'mean') array([3, 3, 1, 2, 3, 4, 5, 3, 3]) - >>> np.lib.pad(a, (2,), 'median') + >>> np.pad(a, (2,), 'median') array([3, 3, 1, 2, 3, 4, 5, 3, 3]) >>> a = [[1, 2], [3, 4]] - >>> np.lib.pad(a, ((3, 2), (2, 3)), 'minimum') + >>> np.pad(a, ((3, 2), (2, 3)), 'minimum') array([[1, 1, 1, 2, 1, 1, 1], [1, 1, 1, 2, 1, 1, 1], [1, 1, 1, 2, 1, 1, 1], @@ -1257,19 +1257,19 @@ def pad(array, pad_width, mode, **kwargs): [1, 1, 1, 2, 1, 1, 1]]) >>> a = [1, 2, 3, 4, 5] - >>> np.lib.pad(a, (2, 3), 'reflect') + >>> np.pad(a, (2, 3), 'reflect') array([3, 2, 1, 2, 3, 4, 5, 4, 3, 2]) - >>> np.lib.pad(a, (2, 3), 'reflect', reflect_type='odd') + >>> np.pad(a, (2, 3), 'reflect', reflect_type='odd') array([-1, 0, 1, 2, 3, 4, 5, 6, 7, 8]) - >>> np.lib.pad(a, (2, 3), 'symmetric') + >>> np.pad(a, (2, 3), 'symmetric') array([2, 1, 1, 2, 3, 4, 5, 5, 4, 3]) - >>> np.lib.pad(a, (2, 3), 'symmetric', reflect_type='odd') + >>> np.pad(a, (2, 3), 'symmetric', reflect_type='odd') array([0, 1, 1, 2, 3, 4, 5, 5, 6, 7]) - >>> np.lib.pad(a, (2, 3), 'wrap') + >>> np.pad(a, (2, 3), 'wrap') array([4, 5, 1, 2, 3, 4, 5, 1, 2, 3]) >>> def pad_with(vector, pad_width, iaxis, kwargs): @@ -1279,14 +1279,14 @@ def pad(array, pad_width, mode, **kwargs): ... return vector >>> a = np.arange(6) >>> a = a.reshape((2, 3)) - >>> np.lib.pad(a, 2, pad_with) + >>> np.pad(a, 2, pad_with) array([[10, 10, 10, 10, 10, 10, 10], [10, 10, 10, 10, 10, 10, 10], [10, 10, 0, 1, 2, 10, 10], [10, 10, 3, 4, 5, 10, 10], [10, 10, 10, 10, 10, 10, 10], [10, 10, 10, 10, 10, 10, 10]]) - >>> np.lib.pad(a, 2, pad_with, padder=100) + >>> np.pad(a, 2, pad_with, padder=100) array([[100, 100, 100, 100, 100, 100, 100], [100, 100, 100, 100, 100, 100, 100], [100, 100, 0, 1, 2, 100, 100], |