$ pip install numpy-rms
import numpy_rms
import numpy as np
arr = np.arange(40, dtype=np.float32)
rms_series = numpy_rms.rms(arr, window_size=10)
print(rms_series.shape) # (4,)
For the complete changelog, go to CHANGELOG.md
CC=clang pip install -e .pytestThis library is maintained/backed by Nomono, a Norwegian audio AI startup.
FAQs
A fast python library for calculating the RMS of a NumPy array
We found that numpy-rms demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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