LF Data
This project provides a set of useful tools for interacting with data taken from the LF AWESOME receivers maintained by the LF Radio Lab at Georgia Tech. This data is available publicly at Waldo World.
Installation
Run the following to install:
pip install lf
Example Usage
import lf
# Load an entire .mat file
data = lf.data.rx.load_rx_data("path_to_mat_file")
# Load a specific variable or set of variables
variables = ["station_name", "call_sign", "data"]
data = lf.data.rx.load_rx_data("path_to_mat_file", variables)
# Create an LFData object from two mat files or dictionaries
mat_files = ["amplitudeNS.mat", "phaseNS.mat", "amplitudeEW.mat", "phaseEW.mat"]
data = lf.data.rx.LFData(mat_files)
# Evaluate the quality of your data with the EvalLF object
data_eval = lf.data.rxquality.EvalLF(data)
1 maintainer
Release files for lf 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lf-0.1.9.tar.gz | 30.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lf-0.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 64.5 kB
Release files / lf-0.1.9.tar.gz
| Download URL | lf-0.1.9.tar.gz |
|---|---|
| Size | 30.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8a3558a74ab021650a264c45bc35ebfb6d9cb1460742e3574a2a171e9d75e6a1
|
|
BLAKE2b-256 checksum How to use checksums |
57b73f2af6e107a74d58e43d7919369084bbbd3b62de7d5c7da44ef27b5a7966
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.2
|
Release files / lf-0.1.9-py3-none-any.whl
| Download URL | lf-0.1.9-py3-none-any.whl |
|---|---|
| Size | 33.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0ff6712a6164fc8156917c0cf639d0d2914096919d407b002d118721a3cbae37
|
|
BLAKE2b-256 checksum How to use checksums |
df1652ade9df22786d15b23d53ab636de2d41297db6ff4ce2b3509c4b5843784
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.2
|
