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author | Travis Oliphant <oliphant@enthought.com> | 2008-04-08 04:56:12 +0000 |
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committer | Travis Oliphant <oliphant@enthought.com> | 2008-04-08 04:56:12 +0000 |
commit | 7d51a22a398230cf095eee397aea1a8ffd73c10a (patch) | |
tree | a34604272bccedb89e8f1df8e30c3836156b2f4f /numpy/ma/README.txt | |
parent | 04fdbe54df00293b259458e31fa8d66a6c42c188 (diff) | |
download | numpy-7d51a22a398230cf095eee397aea1a8ffd73c10a.tar.gz |
Add docs and examples for financial functions.
Diffstat (limited to 'numpy/ma/README.txt')
-rw-r--r-- | numpy/ma/README.txt | 1 |
1 files changed, 0 insertions, 1 deletions
diff --git a/numpy/ma/README.txt b/numpy/ma/README.txt index bc8614575..e25c26485 100644 --- a/numpy/ma/README.txt +++ b/numpy/ma/README.txt @@ -74,7 +74,6 @@ This list is non-exhaustive... * the *mr_* function mimics *r_* for masked arrays. * the *anom* method returns the anomalies (deviations from the average) - * the *stdu* and *varu* return unbiased estimates of the standard deviation and variance, respectively. Using the new package with numpy.core.ma ---------------------------------------- |