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| author | luzpaz <luzpaz@users.noreply.github.com> | 2019-05-31 03:13:33 -0400 |
|---|---|---|
| committer | Matti Picus <matti.picus@gmail.com> | 2019-05-31 10:13:33 +0300 |
| commit | 0c70787c04d7b0febacb14edfe214cb68d87b6c3 (patch) | |
| tree | a518387f3e9134d753ac4d09009ab4764a8dd4b2 /doc/source/reference/random | |
| parent | 43465f725bc47a36f08c5e69a61c2702a97491b8 (diff) | |
| download | numpy-0c70787c04d7b0febacb14edfe214cb68d87b6c3.tar.gz | |
MAINT: Misc. typo fixes (#13664)
* DOC, MAINT: Misc. typo fixes
Found via `codespell`
Diffstat (limited to 'doc/source/reference/random')
| -rw-r--r-- | doc/source/reference/random/index.rst | 6 | ||||
| -rw-r--r-- | doc/source/reference/random/new-or-different.rst | 2 |
2 files changed, 4 insertions, 4 deletions
diff --git a/doc/source/reference/random/index.rst b/doc/source/reference/random/index.rst index 0b8145735..3159f0e1c 100644 --- a/doc/source/reference/random/index.rst +++ b/doc/source/reference/random/index.rst @@ -5,7 +5,7 @@ numpy.random ============ -Numpy's random number routines produce psuedo random numbers using +Numpy's random number routines produce pseudo random numbers using combinations of a `BitGenerator` to create sequences and a `Generator` to use those sequences to sample from different statistical distributions: @@ -41,7 +41,7 @@ which will be faster than the legacy methods in `RandomState` `Generator` can be used as a direct replacement for `~RandomState`, although the random values are generated by `~xoshiro256.Xoshiro256`. The -`Generator` holds an instance of a BitGenerator. It is accessable as +`Generator` holds an instance of a BitGenerator. It is accessible as ``gen.bit_generator``. .. code-block:: python @@ -127,7 +127,7 @@ What's New or Different :ref:`Cython <randomgen_cython>`. * `~.Generator.integers` is now the canonical way to generate integer random numbers from a discrete uniform distribution. The ``rand`` and - ``randn`` methods are only availabe through the legacy `~.RandomState`. + ``randn`` methods are only available through the legacy `~.RandomState`. The ``endpoint`` keyword can be used to specify open or closed intervals. This replaces both ``randint`` and the deprecated ``random_integers``. * `~.Generator.random` is now the canonical way to generate floating-point diff --git a/doc/source/reference/random/new-or-different.rst b/doc/source/reference/random/new-or-different.rst index 969a9372d..a6de9c8dc 100644 --- a/doc/source/reference/random/new-or-different.rst +++ b/doc/source/reference/random/new-or-different.rst @@ -54,7 +54,7 @@ And in more detail: `~.Generator.standard_gamma`. * `~.Generator.integers` is now the canonical way to generate integer random numbers from a discrete uniform distribution. The ``rand`` and - ``randn`` methods are only availabe through the legacy `~.RandomState`. + ``randn`` methods are only available through the legacy `~.RandomState`. This replaces both ``randint`` and the deprecated ``random_integers``. * The Box-Muller used to produce NumPy's normals is no longer available. * All bit generators can produce doubles, uint64s and |