Usage
>>> import numpy as np
>>> from event_tools import get_events
>>>
>>> raw_data = np.load("tests/dRNA.npy").astype(np.float64)
>>> et = get_events(raw_data)
>>> et.start, et.end, et.n
(0, 12351, 12351)
>>> for event in et.event[:5]:
>>> print(event.start, event.length, event.mean, event.stdv)
0 5.0 578.0 9.230384607372091
5 7.0 552.5714285714286 5.576920370275112
12 3.0 564.6666666666666 9.463379711055676
15 3.0 548.6666666666666 3.2998316455440815
18 4.0 553.75 4.205650960315181
Metadata
Release files for event-tools 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| event_tools-0.0.2.tar.gz | 4.1 MB | Without provenance | Details for event_tools-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| event_tools-0.0.2-cp39-cp39-manylinux_2_28_x86_64.whl | CPython 3.9 | CPython 3.9 | Linux glibc 2.28+ x86-64 | Details for event_tools-0.0.2-cp39-cp39-manylinux_2_28_x86_64.whl |
Total release size: 4.4 MB
Release files / event_tools-0.0.2.tar.gz
| Download URL | event_tools-0.0.2.tar.gz |
|---|---|
| Size | 4.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.13.2
|
Release files / event_tools-0.0.2-cp39-cp39-manylinux_2_28_x86_64.whl
| Download URL | event_tools-0.0.2-cp39-cp39-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 258.6 kB |
| Tags | CPython 3.9 Linux glibc 2.28+ x86-64 |
|
SHA-256 checksum How to use checksums |
d7371726d790dd9e04b3e51a5c3a69d9cc0bea3835d8ed0738721ea1f11b9709
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.13.2
|
Security for event-tools 0.0.2
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