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authorPauli Virtanen <pav@iki.fi>2009-06-19 15:03:39 +0000
committerPauli Virtanen <pav@iki.fi>2009-06-19 15:03:39 +0000
commit87fa5aecfd318157fed0cac274619b7d863381b7 (patch)
tree0b06cdef28680cb51d29bad2ee24f1816b51c3ab /numpy/core/memmap.py
parentcace0d7a0053a87e8d65c1a8db996965277cfd5c (diff)
downloadnumpy-87fa5aecfd318157fed0cac274619b7d863381b7.tar.gz
Merge from doc wiki
Diffstat (limited to 'numpy/core/memmap.py')
-rw-r--r--numpy/core/memmap.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/core/memmap.py b/numpy/core/memmap.py
index 65f4938fe..2392c3aa7 100644
--- a/numpy/core/memmap.py
+++ b/numpy/core/memmap.py
@@ -17,7 +17,7 @@ mode_equivalents = {
class memmap(ndarray):
"""
- Create a memory-map to an array stored in a file on disk.
+ Create a memory-map to an array stored in a *binary* file on disk.
Memory-mapped files are used for accessing small segments of large files
on disk, without reading the entire file into memory. Numpy's
@@ -58,7 +58,7 @@ class memmap(ndarray):
order : {'C', 'F'}, optional
Specify the order of the ndarray memory layout: C (row-major) or
Fortran (column-major). This only has an effect if the shape is
- greater than 1-D. The defaullt order is 'C'.
+ greater than 1-D. The default order is 'C'.
Methods
-------