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Diffstat (limited to 'doc/source/user/quickstart.rst')
| -rw-r--r-- | doc/source/user/quickstart.rst | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/doc/source/user/quickstart.rst b/doc/source/user/quickstart.rst index 8719e6eef..ab5bb5318 100644 --- a/doc/source/user/quickstart.rst +++ b/doc/source/user/quickstart.rst @@ -177,7 +177,7 @@ The function ``zeros`` creates an array full of zeros, the function ``ones`` creates an array full of ones, and the function ``empty`` creates an array whose initial content is random and depends on the state of the memory. By default, the dtype of the created array is -``float64``. +``float64``, but it can be specified via the key word argument ``dtype``. :: @@ -185,7 +185,7 @@ state of the memory. By default, the dtype of the created array is array([[0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.]]) - >>> np.ones((2, 3, 4), dtype=np.int16) # dtype can also be specified + >>> np.ones((2, 3, 4), dtype=np.int16) array([[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]], @@ -193,8 +193,8 @@ state of the memory. By default, the dtype of the created array is [[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]], dtype=int16) - >>> np.empty((2, 3)) # uninitialized, the result may vary - array([[3.73603959e-262, 6.02658058e-154, 6.55490914e-260], + >>> np.empty((2, 3)) + array([[3.73603959e-262, 6.02658058e-154, 6.55490914e-260], # may vary [5.30498948e-313, 3.14673309e-307, 1.00000000e+000]]) To create sequences of numbers, NumPy provides the ``arange`` function |