diff options
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/neps/missing-data.rst | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/doc/neps/missing-data.rst b/doc/neps/missing-data.rst index de08c3d3e..6a4781f10 100644 --- a/doc/neps/missing-data.rst +++ b/doc/neps/missing-data.rst @@ -140,13 +140,14 @@ Without doing this, NA printouts would look like:: array(NA, dtype='NA[<f8]') but with this, they could be printed as:: + >>> np.sum(np.array([1.0, 2.0, np.NA, 7.0], masked=True)) NA('float64') >>> np.sum(np.array([1.0, 2.0, np.NA, 7.0], dtype='NA[f8]')) NA('NA[<f8]') Assigning a value to an array always causes that element to not be NA, -transparently unmasking it if necessary.. Assigning numpy.NA to the array +transparently unmasking it if necessary. Assigning numpy.NA to the array masks that element or assigns the NA bit pattern for the particular dtype. In the mask-based implementation, the storage behind a missing value may never be accessed in any way, other than to unmask it by assigning its value. @@ -311,7 +312,7 @@ to temporarily treat an object with a mask without ever creating a masked array object. If the 'out' parameter isn't specified, use of the 'mask=' parameter -will produce a array with a mask as the result. +will produce an array with a mask as the result. For boolean operations, the R project special cases logical_and and logical_or so that logical_and(NA, False) is False, and @@ -479,7 +480,7 @@ form, are then:: np.dtype('NA[f8,InfNaN]') (for any NaN or Inf) When no parameter is specified a flexible NA dtype is created, which itself -cannot hold values, but will conform to the input types in funcions like +cannot hold values, but will conform to the input types in functions like 'np.astype'. The dtype 'f8' maps to 'NA[f8]', and [('a', 'f4'), ('b', 'i4')] maps to [('a', 'NA[f4]'), ('b', 'NA[i4]')]. Thus, to view the memory of an 'f8' array 'arr' with 'NA[f8]', you can say arr.view(dtype='NA'). |