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| author | nglinh <nglinh2312@gmail.com> | 2020-04-04 00:26:09 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-04-03 11:26:09 -0500 |
| commit | caa9b6045cedfaf0a4735bd2be55164549a4ddcf (patch) | |
| tree | a627249e6a08e36dba906c3fdfd59a33b38b34af /numpy/lib/histograms.py | |
| parent | 8626a559680d9d6e681c02e703bcaf3de389fc6d (diff) | |
| download | numpy-caa9b6045cedfaf0a4735bd2be55164549a4ddcf.tar.gz | |
DOC: Minor fix to _hist_bin_fd documentation (#15839)
Co-Authored-By: Ross Barnowski <rossbar@berkeley.edu>>
Diffstat (limited to 'numpy/lib/histograms.py')
| -rw-r--r-- | numpy/lib/histograms.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py index 32d7df117..ede8a26e4 100644 --- a/numpy/lib/histograms.py +++ b/numpy/lib/histograms.py @@ -207,7 +207,7 @@ def _hist_bin_fd(x, range): than the standard deviation, so it is less accurate, especially for long tailed distributions. - If the IQR is 0, this function returns 1 for the number of bins. + If the IQR is 0, this function returns 0 for the bin width. Binwidth is inversely proportional to the cube root of data size (asymptotically optimal). |