diff options
| author | Charles Harris <charlesr.harris@gmail.com> | 2020-12-16 05:42:20 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-12-16 05:42:20 -0700 |
| commit | b6391657bcbaebf9b917ae2f4472ba9c8e872cba (patch) | |
| tree | 3b2ace26de590b238dc574e3727a40d62b2f17da | |
| parent | 8e038f4a930c0c899e599ee58a56391e026a608f (diff) | |
| parent | 768e9e0a3cbe5febf5d7e031d5164b257add6237 (diff) | |
| download | numpy-b6391657bcbaebf9b917ae2f4472ba9c8e872cba.tar.gz | |
Merge pull request #18008 from mattip/fix1
DOC: fix for doctests
| -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 |