diff options
Diffstat (limited to 'numpy')
| -rw-r--r-- | numpy/core/fromnumeric.py | 2 | ||||
| -rw-r--r-- | numpy/lib/function_base.py | 9 |
2 files changed, 6 insertions, 5 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index 10626fe9f..d60f9adb2 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -2069,7 +2069,7 @@ def cumsum(a, axis=None, dtype=None, out=None): trapz : Integration of array values using the composite trapezoidal rule. - diff : Calculate the n-th order discrete difference along given axis. + diff : Calculate the n-th discrete difference along given axis. Notes ----- diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 007ff42a4..3c941ca5b 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -1316,10 +1316,10 @@ def gradient(f, *varargs, **kwargs): def diff(a, n=1, axis=-1): """ - Calculate the n-th order discrete difference along given axis. + Calculate the n-th discrete difference along given axis. - The first order difference is given by ``out[n] = a[n+1] - a[n]`` along - the given axis, higher order differences are calculated by using `diff` + The first difference is given by ``out[n] = a[n+1] - a[n]`` along + the given axis, higher differences are calculated by using `diff` recursively. Parameters @@ -1334,8 +1334,9 @@ def diff(a, n=1, axis=-1): Returns ------- diff : ndarray - The `n` order differences. The shape of the output is the same as `a` + The n-th differences. The shape of the output is the same as `a` except along `axis` where the dimension is smaller by `n`. +. See Also -------- |