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| author | warren <warren.weckesser@gmail.com> | 2022-01-21 07:58:24 -0500 |
|---|---|---|
| committer | warren <warren.weckesser@gmail.com> | 2022-01-21 07:58:24 -0500 |
| commit | fd7ea712d77328dcebd9701d7728a844afe7394e (patch) | |
| tree | 6aed8962e8727287d288936cf189736a974b97ef /doc/source/reference/random | |
| parent | 6c16f23c30fe490422959d30c2e22345211a2fe3 (diff) | |
| download | numpy-fd7ea712d77328dcebd9701d7728a844afe7394e.tar.gz | |
DOC: random: Fix spelling of 'precision'.
Diffstat (limited to 'doc/source/reference/random')
| -rw-r--r-- | doc/source/reference/random/index.rst | 2 | ||||
| -rw-r--r-- | doc/source/reference/random/new-or-different.rst | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/doc/source/reference/random/index.rst b/doc/source/reference/random/index.rst index aaabc9b39..674799d47 100644 --- a/doc/source/reference/random/index.rst +++ b/doc/source/reference/random/index.rst @@ -185,7 +185,7 @@ What's New or Different methods which are 2-10 times faster than NumPy's Box-Muller or inverse CDF implementations. * Optional ``dtype`` argument that accepts ``np.float32`` or ``np.float64`` - to produce either single or double prevision uniform random variables for + to produce either single or double precision uniform random variables for select distributions * Optional ``out`` argument that allows existing arrays to be filled for select distributions diff --git a/doc/source/reference/random/new-or-different.rst b/doc/source/reference/random/new-or-different.rst index a81543926..7a206a2ce 100644 --- a/doc/source/reference/random/new-or-different.rst +++ b/doc/source/reference/random/new-or-different.rst @@ -84,7 +84,7 @@ And in more detail: * The bit generators can be used in downstream projects via Cython. * Optional ``dtype`` argument that accepts ``np.float32`` or ``np.float64`` - to produce either single or double prevision uniform random variables for + to produce either single or double precision uniform random variables for select distributions * Uniforms (`~.Generator.random` and `~.Generator.integers`) |