10000 DOC: Enable web docs for numpy.trapezoid and add back links by bmwoodruff · Pull Request #26645 · numpy/numpy · GitHub
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DOC: Enable web docs for numpy.trapezoid and add back links #26645

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merged 2 commits into from
Jun 9, 2024
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DOC: Enable web docs for numpy.trapezoid and add back links #26645

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DOC: Enable web docs for numpy.trapezoid and add back links
bmwoodruff Jun 8, 2024
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DOC: Enable web docs for numpy.trapezoid and add back links
bmwoodruff Jun 8, 2024
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1 change: 1 addition & 0 deletions doc/source/reference/routines.math.rst
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Expand Up @@ -71,6 +71,7 @@ Sums, products, differences
ediff1d
gradient
cross
trapezoid

Exponents and logarithms
------------------------
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2 changes: 2 additions & 0 deletions numpy/_core/fromnumeric.py
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Expand Up @@ -2355,6 +2355,7 @@ def sum(a, axis=None, dtype=None, out=None, keepdims=np._NoValue,
ndarray.sum : Equivalent method.
add: ``numpy.add.reduce`` equivalent function.
cumsum : Cumulative sum of array elements.
trapezoid : Integration of array values using composite trapezoidal rule.

mean, average

Expand Down Expand Up @@ -2681,6 +2682,7 @@ def cumsum(a, axis=None, dtype=None, out=None):
See Also
--------
sum : Sum array elements.
trapezoid : Integration of array values using composite trapezoidal rule.
diff : Calculate the n-th discrete difference along given axis.

Notes
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0