Python spectogram plotted using pyqtgraph.
Project description
pyqtspecgram
Python spectogram plotted using pyqtgraph
Pyqtplot allows significantly faster navigation and zooming for larger scale waterfalls compared to pyplots specgram method.
See more on https://github.com/epeters13/pyqtspecgram
Author: Edwin G.W. Peters
Requirements
- scipy
- pyqtgraph
Installation
pip install pyqtspecgram
or
python setup.py install
Usage
Check "test_pyqtspecgram" for an example
Plot a waterfall
from pyqtspecgram import pyqtspecgram
import numpy as np
Fs = 1e6
t = 5 # sec
N = int(t * Fs)
sigma_noise_2 = 0.1
NFFT = 4096
a = np.exp(1j * 2 * np.pi * 150e3 / Fs * np.arange(N))
a += np.exp(-1j * 2 * np.pi * 298e3 / Fs * np.arange(N))
a += np.sqrt(sigma_noise_2) / 2 * (np.random.randn(N) + 1j * np.random.randn(N))
Sxx, f_a, t_a, fig = pyqtspecgram(a, NFFT, Fs, Fc=0)
Todo
- Prevent garbage collection when returning from main thread to allow figure to remain open in the background in an interactive ipython console
- Export coordinates in graph to console with double or right click
- Allow dynamic time-averaged spectrogramming for very large data sets
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