diff options
author | Melissa Weber Mendonça <melissawm@gmail.com> | 2021-02-15 11:58:24 -0300 |
---|---|---|
committer | GitHub <noreply@github.com> | 2021-02-15 11:58:24 -0300 |
commit | 46e984e9f93774570b9d15288f3c24f5e0cae63e (patch) | |
tree | 18a796846883304234d2e5053776b682f4c3ac03 | |
parent | 9fd5ca55cc8c76759927831f44a98e2c65ea73d1 (diff) | |
parent | b15bd82a7b50e721125b54f8cc11a0850ce10a21 (diff) | |
download | numpy-46e984e9f93774570b9d15288f3c24f5e0cae63e.tar.gz |
Merge pull request #18405 from mdubravski/correlateFix
DOC: Mention `scipy.signal.correlate` and FFT method in `np.correlate`
-rw-r--r-- | numpy/core/numeric.py | 6 |
1 files changed, 6 insertions, 0 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index 89f56fa09..7675386e7 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -710,6 +710,7 @@ def correlate(a, v, mode='valid'): -------- convolve : Discrete, linear convolution of two one-dimensional sequences. multiarray.correlate : Old, no conjugate, version of correlate. + scipy.signal.correlate : uses FFT which has superior performance on large arrays. Notes ----- @@ -720,6 +721,11 @@ def correlate(a, v, mode='valid'): which is related to ``c_{av}[k]`` by ``c'_{av}[k] = c_{av}[-k]``. + `numpy.correlate` may perform slowly in large arrays (i.e. n = 1e5) because it does + not use the FFT to compute the convolution; in that case, `scipy.signal.correlate` might + be preferable. + + Examples -------- >>> np.correlate([1, 2, 3], [0, 1, 0.5]) |