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| author | Travis Oliphant <oliphant@enthought.com> | 2008-04-08 04:56:12 +0000 |
|---|---|---|
| committer | Travis Oliphant <oliphant@enthought.com> | 2008-04-08 04:56:12 +0000 |
| commit | 7d51a22a398230cf095eee397aea1a8ffd73c10a (patch) | |
| tree | a34604272bccedb89e8f1df8e30c3836156b2f4f /numpy/ma | |
| parent | 04fdbe54df00293b259458e31fa8d66a6c42c188 (diff) | |
| download | numpy-7d51a22a398230cf095eee397aea1a8ffd73c10a.tar.gz | |
Add docs and examples for financial functions.
Diffstat (limited to 'numpy/ma')
| -rw-r--r-- | numpy/ma/API_CHANGES.txt | 8 | ||||
| -rw-r--r-- | numpy/ma/README.txt | 1 |
2 files changed, 0 insertions, 9 deletions
diff --git a/numpy/ma/API_CHANGES.txt b/numpy/ma/API_CHANGES.txt index 8f1766fcb..487dc43aa 100644 --- a/numpy/ma/API_CHANGES.txt +++ b/numpy/ma/API_CHANGES.txt @@ -127,12 +127,4 @@ New features (non exhaustive list) The ``anom`` method returns the deviations from the average (anomalies). -``varu`` and ``stdu`` ---------------------- - -These methods return unbiased estimates of the variance and standard deviation -respectively. An unbiased estimate is obtained by dividing the sum of the -squared anomalies by ``n-1`` instead of ``n`` for the biased estimates, where -``n`` is the number of unmasked elements along the given axis. - 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 ---------------------------------------- |