perception-pnrf
Python parser for the PNRF binary measurement format (HBK Perception).
PNRF files (.pnrf) are produced by HBK Perception data acquisition software and contain high-speed analog waveforms, digital events, CAN/fieldbus data, and SPT harmonic analysis results.
Installation
pip install perception-pnrf
Requires Python 3.10+ and NumPy.
Usage
from perception_pnrf import PnrfFile
# Open a PNRF file
with PnrfFile.open("measurement.pnrf") as pnrf:
# Iterate recorders and channels
for rec in pnrf.recorders:
print(f"Recorder: {rec.logical_name}")
for ch in rec.channels:
print(f" {ch.logical_name}: {ch.sample_count} samples, unit={ch.units}")
# Read sample data into a NumPy buffer
data = np.empty(min(ch.sample_count, 1000), dtype=np.float64)
count = ch.read_f64(data)
print(f" Read {count} samples")
Key Classes
| Class | Description |
|---|---|
PnrfFile |
Top-level file handle; provides .recorders, .groups, .metadata |
PnrfRecorder |
A data acquisition module with channels |
PnrfChannel |
A measurement channel with metadata and data access |
PnrfGroup |
Logical grouping of recorders |
Reading Data
import numpy as np
# Read a slice of samples into a preallocated buffer
values = np.empty(5000, dtype=np.float64)
count = ch.read_f64(values, start=0)
# Read all samples at once
all_values = np.empty(ch.sample_count, dtype=np.float64)
count = ch.read_f64(all_values)
# Read from a specific segment with a starting offset
segment_values = np.empty(100, dtype=np.float64)
count = ch.read_f64(segment_values, segment_index=0, start=0)
Channel Types
- Analog waveform — continuous or sweep-triggered time-series data
- Digital event — binary state channels
- SPT blob — Signal Processing Toolkit results (harmonics, order tracking)
- MATD — asynchronous sparse-pair data (CAN bus, fieldbus)
File Metadata
meta = pnrf.metadata
print(meta.title, meta.comment)
if meta.recording_start_utc is not None:
print(meta.recording_start_utc.isoformat())
Dump Tool
A CLI tool is included for inspecting PNRF files:
pnrf-dump recording.pnrf
Or via module invocation:
python -m perception_pnrf.dump recording.pnrf
Produces a structured text dump showing file metadata, recorder/channel hierarchy, segment boundaries, and sample previews.
Specification
The full reverse-engineered format specification is available in the spec/ directory of the source repository.
License
MIT
Metadata
Release files for perception-pnrf 1.2.1
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| File | Interpreter | ABI | Platform | Actions Reset |
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Release files / perception_pnrf-1.2.1-py3-none-any.whl
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| Tags | Python 3 |
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