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| author | rgommers <ralf.gommers@googlemail.com> | 2010-06-02 13:07:10 +0000 |
|---|---|---|
| committer | rgommers <ralf.gommers@googlemail.com> | 2010-06-02 13:07:10 +0000 |
| commit | 76e25d22ca216d8f30c74b8df79edd1d8ffdd242 (patch) | |
| tree | 11e01eaa2f3a0962532d6b7728b7cbedb7fbc9da /numpy/core/records.py | |
| parent | e7c87d78cb3a6a3cb24276a5cf3fdb3f4d0bc43c (diff) | |
| download | numpy-76e25d22ca216d8f30c74b8df79edd1d8ffdd242.tar.gz | |
DOC: merge wiki edits for module core.
Diffstat (limited to 'numpy/core/records.py')
| -rw-r--r-- | numpy/core/records.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/core/records.py b/numpy/core/records.py index 2afb89f81..dc1dfad68 100644 --- a/numpy/core/records.py +++ b/numpy/core/records.py @@ -285,7 +285,7 @@ class recarray(ndarray): """ Construct an ndarray that allows field access using attributes. - Arrays may have a data-types containing fields, analagous + Arrays may have a data-types containing fields, analogous to columns in a spread sheet. An example is ``[(x, int), (y, float)]``, where each entry in the array is a pair of ``(int, float)``. Normally, these attributes are accessed using dictionary lookups such as ``arr['x']`` @@ -346,7 +346,7 @@ class recarray(ndarray): Notes ----- This constructor can be compared to ``empty``: it creates a new record - array but does not fill it with data. To create a reccord array from data, + array but does not fill it with data. To create a record array from data, use one of the following methods: 1. Create a standard ndarray and convert it to a record array, |