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| author | François Le Lay <mfworx@gmail.com> | 2021-02-17 07:24:39 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-02-17 07:24:39 -0500 |
| commit | dd20b6241590622e847eb4538a224e87eff483f9 (patch) | |
| tree | ce19093db8a459c59819d64e887bb893f5ed11c6 /numpy/core/numeric.py | |
| parent | 98bf466b42aea9bb804275af6f11d1c7cfdebbad (diff) | |
| parent | 6f65e1fc25f265ff36bdbfb3aa482f65fd84a684 (diff) | |
| download | numpy-dd20b6241590622e847eb4538a224e87eff483f9.tar.gz | |
Merge branch 'master' into random-standard_t-doc
Diffstat (limited to 'numpy/core/numeric.py')
| -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]) |