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author | Allan Haldane <allan.haldane@gmail.com> | 2015-01-16 23:53:41 -0500 |
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committer | Allan Haldane <allan.haldane@gmail.com> | 2015-01-22 17:36:43 -0500 |
commit | 1bd0b4e8f176cd80e81b5f50832db5f8ba1ee1e9 (patch) | |
tree | fce876400e049c7927cfe4b62ee4d1ca00a8ed7b /numpy/doc/creation.py | |
parent | b69035e8ea28bd759b929822aaba544d3c5f8c30 (diff) | |
download | numpy-1bd0b4e8f176cd80e81b5f50832db5f8ba1ee1e9.tar.gz |
DOC: improve record/structured array nomenclature & guide
This update adds a section better describing record arrays in the user
guide (numpy/doc/structured_arrays.py).
It also corrects nomenclature, such that "structured array" refers to
ndarrays with structured dtype, "record array" refers to modified
ndarrays as created by np.rec.array, and "recarray" refers to ndarrays
viewed as np.recarray. See the note at the end of the structured
array user guide.
Diffstat (limited to 'numpy/doc/creation.py')
-rw-r--r-- | numpy/doc/creation.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/doc/creation.py b/numpy/doc/creation.py index 7979b51aa..b10d45d48 100644 --- a/numpy/doc/creation.py +++ b/numpy/doc/creation.py @@ -17,7 +17,7 @@ There are 5 general mechanisms for creating arrays: This section will not cover means of replicating, joining, or otherwise expanding or mutating existing arrays. Nor will it cover creating object -arrays or record arrays. Both of those are covered in their own sections. +arrays or structured arrays. Both of those are covered in their own sections. Converting Python array_like Objects to Numpy Arrays ==================================================== |