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| author | Mark Wiebe <mwiebe@enthought.com> | 2011-06-25 15:45:48 -0500 |
|---|---|---|
| committer | Mark Wiebe <mwiebe@enthought.com> | 2011-06-27 10:32:42 -0500 |
| commit | 8d74430d2d98bf760a0db6d1044565623c406a69 (patch) | |
| tree | 644e7c7d8724bce7b740a5f225f5c4bb4f860830 | |
| parent | 95bb76a6dc8b538fd844d3bcb9b94f12d47d78c7 (diff) | |
| download | numpy-8d74430d2d98bf760a0db6d1044565623c406a69.tar.gz | |
NEP: c-masked-array: Typo feedback from WeatherGod
| -rw-r--r-- | doc/neps/c-masked-array.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/neps/c-masked-array.rst b/doc/neps/c-masked-array.rst index 36c5445ad..7215b503f 100644 --- a/doc/neps/c-masked-array.rst +++ b/doc/neps/c-masked-array.rst @@ -16,7 +16,7 @@ The existing masked array functionality in NumPy is useful for many people, however it has a number of issues that prevent it from being the preferred solution in some important cases. By implementing mask functionality into the core ndarray object, all the current issues -with the system can be resolved in a high performance and flexible manner. +with the system can be resolved in a high-performance and flexible manner. The integration with ufuncs and other numpy core functions like sum is weak. This could be dealt with either through a better function overloading @@ -79,7 +79,7 @@ the data as if the NA values are not part of the data set. Data That Is Being Temporarily Ignored ====================================== -Iterpreting the meaning of temporarily ignored data requires +Interpreting the meaning of temporarily ignored data requires choosing between one of the missing data interpretations above. This is a common use case for masks, which are an elegant mechanism to implement this. |