diff options
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/release/1.8.0-notes.rst | 13 | ||||
| -rw-r--r-- | doc/source/reference/routines.statistics.rst | 5 |
2 files changed, 16 insertions, 2 deletions
diff --git a/doc/release/1.8.0-notes.rst b/doc/release/1.8.0-notes.rst index c92cf6ebd..5923c7ea3 100644 --- a/doc/release/1.8.0-notes.rst +++ b/doc/release/1.8.0-notes.rst @@ -42,6 +42,10 @@ case, now indicates a 0-D iteration and ``op_axes`` being NULL and the old usage is deprecated. This does not effect the ``NpyIter_New`` or ``NpyIter_MultiNew`` functions. +The functions nanargmin and nanargmax now return np.iinfo['intp'].min for +the index in all-NaN slices. Previously the functions would raise a ValueError +for array returns and NaN for scalar returns. + NPY_RELAXED_STRIDES_CHECKING ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ There is a new compile time environment variable @@ -145,7 +149,7 @@ arrays instead of only in simple indices. This means that ``array[np.newaxis, [0, 1]]`` will now work as expected. New functions `full` and `full_like` -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ New convenience functions to create arrays filled with a specific value; complementary to the existing `zeros` and `zeros_like` functions. @@ -160,6 +164,13 @@ elements smaller than the sorted elements will placed before the it and all equal or larger behind it. This has a time complexity of O(n) compared to O(n log(n)) of a full sort. +New functions `nanmean`, `nanvar` and `nanstd` +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +New nan aware statistical functions are added. In these functions the +results are what would be obtained if nan values were ommited from all +computations. + C-API ~~~~~ diff --git a/doc/source/reference/routines.statistics.rst b/doc/source/reference/routines.statistics.rst index c420705af..64745ff0c 100644 --- a/doc/source/reference/routines.statistics.rst +++ b/doc/source/reference/routines.statistics.rst @@ -23,11 +23,14 @@ Averages and variances .. autosummary:: :toctree: generated/ + median average mean - median std var + nanmean + nanstd + nanvar Correlating ----------- |