Pynaviz Widget Examples

This guide shows how to generate example data using Pynapple and visualize it using the widgets provided by pynaviz.

Prerequisites

To display Qt Widget, make sure PyQt6 is installed along with pynaviz

pip install pynaviz[pyqt6]

TsdWidget

import numpy as np
import pynapple as nap
import pynaviz as viz

# Create a Tsd
tsd = nap.Tsd(t=np.arange(1000), d=np.sin(np.arange(1000) * 0.1))

# Show it in the viewer
v = viz.TsdWidget(tsd)
v.show()

TsdFrameWidget

import numpy as np
import pynapple as nap
import pynaviz as viz

# Create a TsdFrame with two dimensions (cos and sin of a ramp)
tsdframe = nap.TsdFrame(
    t=np.arange(1000),
    d=np.stack((
        np.cos(2 * np.pi * np.arange(0, 100, 0.1)),
        np.sin(2 * np.pi * np.arange(0, 100, 0.1))
    )).T,
    metadata={"label": np.random.randn(2)}
)

# Show it in the viewer
v = viz.TsdFrameWidget(tsdframe)
v.show()

TsdTensorWidget

import numpy as np
import pynapple as nap
import pynaviz as viz

# Create a TsdTensor (e.g. 10x10 channels over 1000 time steps)
tsdtensor = nap.TsdTensor(
    t=np.arange(1000),
    d=np.random.randn(1000, 10, 10)
)

# Show it in the viewer
v = viz.TsdTensorWidget(tsdtensor)
v.show()

TsGroupWidget

import numpy as np
import pynapple as nap
import pynaviz as viz

# Simulate 10 spike trains with varying densities
tsg = nap.TsGroup({
    i: nap.Ts(t=np.sort(np.random.uniform(0, 1000, 100 * (i + 1))))
    for i in range(10)
}, metadata={"label": np.random.randn(10)})

# Display using TsGroupWidget
v = viz.TsGroupWidget(tsg)
v.show()