From d3da32a2743482927f38e2e040dad113f3cca0c1 Mon Sep 17 00:00:00 2001 From: David Rotermund <54365609+davrot@users.noreply.github.com> Date: Wed, 13 Dec 2023 18:23:32 +0100 Subject: [PATCH] Update README.md Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com> --- numpy/math_functions/README.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/numpy/math_functions/README.md b/numpy/math_functions/README.md index b4e519b..4058448 100644 --- a/numpy/math_functions/README.md +++ b/numpy/math_functions/README.md @@ -47,3 +47,16 @@ ## [Sums, products, differences](https://numpy.org/doc/stable/reference/routines.math.html#sums-products-differences) +||| +|---|---| +|[prod](https://numpy.org/doc/stable/reference/generated/numpy.prod.html#numpy.prod)(a[, axis, dtype, out, keepdims, ...]) |Return the product of array elements over a given axis.| +|[sum](https://numpy.org/doc/stable/reference/generated/numpy.sum.html#numpy.sum)(a[, axis, dtype, out, keepdims, ...])|Sum of array elements over a given axis.| +|[nanprod](https://numpy.org/doc/stable/reference/generated/numpy.nanprod.html#numpy.nanprod)(a[, axis, dtype, out, keepdims, ...])|Return the product of array elements over a given axis treating Not a Numbers (NaNs) as ones.| +|[nansum](https://numpy.org/doc/stable/reference/generated/numpy.nansum.html#numpy.nansum)(a[, axis, dtype, out, keepdims, ...])|Return the sum of array elements over a given axis treating Not a Numbers (NaNs) as zero.| +|[cumprod](https://numpy.org/doc/stable/reference/generated/numpy.cumprod.html#numpy.cumprod)(a[, axis, dtype, out])|Return the cumulative product of elements along a given axis.| +|[cumsum](https://numpy.org/doc/stable/reference/generated/numpy.cumsum.html#numpy.cumsum)(a[, axis, dtype, out])|Return the cumulative sum of the elements along a given axis.| +|[nancumprod](https://numpy.org/doc/stable/reference/generated/numpy.nancumprod.html#numpy.nancumprod)(a[, axis, dtype, out])|Return the cumulative product of array elements over a given axis treating Not a Numbers (NaNs) as one.| +|[nancumsum](https://numpy.org/doc/stable/reference/generated/numpy.nancumsum.html#numpy.nancumsum)(a[, axis, dtype, out])|Return the cumulative sum of array elements over a given axis treating Not a Numbers (NaNs) as zero.| +|[diff](https://numpy.org/doc/stable/reference/generated/numpy.diff.html#numpy.diff)(a[, n, axis, prepend, append])|Calculate the n-th discrete difference along the given axis.| +|[cross](https://numpy.org/doc/stable/reference/generated/numpy.cross.html#numpy.cross)(a, b[, axisa, axisb, axisc, axis])|Return the cross product of two (arrays of) vectors.| +