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authorJamie <dodgerbarker@gmail.com>2021-02-10 18:16:02 +0000
committerJamie <dodgerbarker@gmail.com>2021-02-10 18:16:02 +0000
commit570710aafab435024ee17440fb3207740a0d39c2 (patch)
tree8091f3c22e0f3a16f84bb2789ee6c5a57c82e65e
parent7828422c59947132e173cc0802059a8fe0858201 (diff)
downloadnumpy-570710aafab435024ee17440fb3207740a0d39c2.tar.gz
Adjusted formulas to estimator and removed repeat
-rw-r--r--numpy/lib/histograms.py3
1 files changed, 1 insertions, 2 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py
index bd8c6cb8e..b6909bc1d 100644
--- a/numpy/lib/histograms.py
+++ b/numpy/lib/histograms.py
@@ -563,8 +563,7 @@ def histogram_bin_edges(a, bins=10, range=None, weights=None):
bins. All estimators that compute bin counts are recast to bin width
using the `ptp` of the data. The final bin count is obtained from
``np.round(np.ceil(range / h))``. The final bin width is often less
- than what is returned by the formulas below, in order to allow the
- bins to fit the entire range of the data.
+ than what is returned by the estimators below.
'auto' (maximum of the 'sturges' and 'fd' estimators)
A compromise to get a good value. For small datasets the Sturges