diff options
Diffstat (limited to 'numpy/lib/shape_base.py')
| -rw-r--r-- | numpy/lib/shape_base.py | 70 |
1 files changed, 33 insertions, 37 deletions
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py index 77f158eb3..afdb879e4 100644 --- a/numpy/lib/shape_base.py +++ b/numpy/lib/shape_base.py @@ -192,13 +192,13 @@ def vstack(tup): tup -- sequence of arrays. All arrays must have the same shape. Examples: - >>> a = array((1,2,3)) - >>> b = array((2,3,4)) + >>> a = np.array((1,2,3)) + >>> b = np.array((2,3,4)) >>> np.vstack((a,b)) array([[1, 2, 3], [2, 3, 4]]) - >>> a = array([[1],[2],[3]]) - >>> b = array([[2],[3],[4]]) + >>> a = np.array([[1],[2],[3]]) + >>> b = np.array([[2],[3],[4]]) >>> np.vstack((a,b)) array([[1], [2], @@ -222,14 +222,13 @@ def hstack(tup): tup -- sequence of arrays. All arrays must have the same shape. Examples: - >>> import numpy - >>> a = array((1,2,3)) - >>> b = array((2,3,4)) - >>> numpy.hstack((a,b)) + >>> a = np.array((1,2,3)) + >>> b = np.array((2,3,4)) + >>> np.hstack((a,b)) array([1, 2, 3, 2, 3, 4]) - >>> a = array([[1],[2],[3]]) - >>> b = array([[2],[3],[4]]) - >>> numpy.hstack((a,b)) + >>> a = np.array([[1],[2],[3]]) + >>> b = np.array([[2],[3],[4]]) + >>> np.hstack((a,b)) array([[1, 2], [2, 3], [3, 4]]) @@ -253,10 +252,9 @@ def column_stack(tup): tup -- sequence of 1D or 2D arrays. All arrays must have the same first dimension. Examples: - >>> import numpy - >>> a = array((1,2,3)) - >>> b = array((2,3,4)) - >>> numpy.column_stack((a,b)) + >>> a = np.array((1,2,3)) + >>> b = np.array((2,3,4)) + >>> np.column_stack((a,b)) array([[1, 2], [2, 3], [3, 4]]) @@ -283,16 +281,15 @@ def dstack(tup): tup -- sequence of arrays. All arrays must have the same shape. Examples: - >>> import numpy - >>> a = array((1,2,3)) - >>> b = array((2,3,4)) - >>> numpy.dstack((a,b)) + >>> a = np.array((1,2,3)) + >>> b = np.array((2,3,4)) + >>> np.dstack((a,b)) array([[[1, 2], [2, 3], [3, 4]]]) - >>> a = array([[1],[2],[3]]) - >>> b = array([[2],[3],[4]]) - >>> numpy.dstack((a,b)) + >>> a = np.array([[1],[2],[3]]) + >>> b = np.array([[2],[3],[4]]) + >>> np.dstack((a,b)) array([[[1, 2]], <BLANKLINE> [[2, 3]], @@ -432,12 +429,11 @@ def hsplit(ary,indices_or_sections): Related: hstack, split, array_split, vsplit, dsplit. Examples: - >>> import numpy - >>> a= array((1,2,3,4)) - >>> numpy.hsplit(a,2) + >>> a= np.array((1,2,3,4)) + >>> np.hsplit(a,2) [array([1, 2]), array([3, 4])] - >>> a = array([[1,2,3,4],[1,2,3,4]]) - >>> hsplit(a,2) + >>> a = np.array([[1,2,3,4],[1,2,3,4]]) + >>> np.hsplit(a,2) [array([[1, 2], [1, 2]]), array([[3, 4], [3, 4]])] @@ -482,9 +478,9 @@ def vsplit(ary,indices_or_sections): vstack, split, array_split, hsplit, dsplit. Examples: import numpy - >>> a = array([[1,2,3,4], - ... [1,2,3,4]]) - >>> numpy.vsplit(a,2) + >>> a = np.array([[1,2,3,4], + ... [1,2,3,4]]) + >>> np.vsplit(a,2) [array([[1, 2, 3, 4]]), array([[1, 2, 3, 4]])] """ @@ -519,8 +515,8 @@ def dsplit(ary,indices_or_sections): Related: dstack, split, array_split, hsplit, vsplit. Examples: - >>> a = array([[[1,2,3,4],[1,2,3,4]]]) - >>> dsplit(a,2) + >>> a = np.array([[[1,2,3,4],[1,2,3,4]]]) + >>> np.dsplit(a,2) [array([[[1, 2], [1, 2]]]), array([[[3, 4], [3, 4]]])] @@ -596,15 +592,15 @@ def tile(A, reps): Examples: - >>> a = array([0,1,2]) - >>> tile(a,2) + >>> a = np.array([0,1,2]) + >>> np.tile(a,2) array([0, 1, 2, 0, 1, 2]) - >>> tile(a,(1,2)) + >>> np.tile(a,(1,2)) array([[0, 1, 2, 0, 1, 2]]) - >>> tile(a,(2,2)) + >>> np.tile(a,(2,2)) array([[0, 1, 2, 0, 1, 2], [0, 1, 2, 0, 1, 2]]) - >>> tile(a,(2,1,2)) + >>> np.tile(a,(2,1,2)) array([[[0, 1, 2, 0, 1, 2]], <BLANKLINE> [[0, 1, 2, 0, 1, 2]]]) |