Comments (2)
I fixed the bug which happened in case a peak is detected twice that can occur when using random data. A loc statement returns unique events and is now changed into iloc which solves the bug.
Update as below and give it a try!
pip install -U findpeaks
from findpeaks.
Hi @erdogant: thanks for the amazingly quick reply! This does appear to resolve the issue -- I really appreciate it. =)
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Related Issues (20)
- iteration speed printout displayed at low verbosity. HOT 2
- Index error in findpeaks(method='caerus') using pandas 1.4.1 HOT 3
- Logging printing with verbose = 0 HOT 2
- How detect the TOPs? HOT 2
- To limit the distance between adjacent peak and valley points when finding peak & valley points HOT 3
- wrong number of peaks using topology method. HOT 3
- caerus crash error HOT 1
- Limiting z axis in plot_mesh HOT 1
- Feature request - Multiplicative Noise Lee Despeckling Filter HOT 5
- pip installation does not include joblib HOT 2
- Add `delta` parameter for peakdetect HOT 1
- fit method didn't find the peak I expected HOT 2
- method=topology fails in 2.5.5. HOT 1
- Plot Interpolation? HOT 3
- First and last data point always labeled as a valley HOT 1
- findpeaks.fit applied to 2D data returns wrong coordinates HOT 2
- Extra index HOT 13
- Ascending/Descending Manifold HOT 3
- Citation improvement HOT 1
- Resizing info displayed on verbosity < 3. HOT 2
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