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Diffstat (limited to 'numpy/doc/structured_arrays.py')
| -rw-r--r-- | numpy/doc/structured_arrays.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/doc/structured_arrays.py b/numpy/doc/structured_arrays.py index 1135c1395..5289e6d0b 100644 --- a/numpy/doc/structured_arrays.py +++ b/numpy/doc/structured_arrays.py @@ -6,7 +6,7 @@ Structured Arrays Introduction ============ -Numpy provides powerful capabilities to create arrays of structured datatype. +NumPy provides powerful capabilities to create arrays of structured datatype. These arrays permit one to manipulate the data by named fields. A simple example will show what is meant.: :: @@ -79,7 +79,7 @@ The type specifiers can take 4 different forms: :: Don't use these in new code! d) Single character type specifiers (e.g H for unsigned short ints). Avoid using these unless you must. Details can be found in the - Numpy book + NumPy book These different styles can be mixed within the same string (but why would you want to do that?). Furthermore, each type specifier can be prefixed |