Widgets

analyze

notebooks

Learn how to use Jupyter widgets within TileDB notebooks and dashboards.

TileDB notebooks fully support usage of Jupyter/IPython widgets, to provide user-manipulated graphical components. Widgets enable direct user feedback, which can influence the display of plots or other output.

Python

import ipywidgets as widgets
import matplotlib.pyplot as plt
import numpy as np


# Create a function to plot the data
def plot(x, a, b):
    y = a * np.sin(b + x)
    plt.plot(x, y)
    plt.show()


# Create the widgets
x = np.linspace(0, 2 * np.pi, 100)
widget_a = widgets.FloatSlider(value=0, min=0, max=np.pi, step=0.01, description="a:")
widget_b = widgets.FloatSlider(value=2.5, min=0.1, max=5.0, step=0.1, description="b:")

# Use the interact function to create the interactive plot
widgets.interact(plot, x=widgets.fixed(x), a=widget_a, b=widget_b)

Please see the Juptyer widget documentation for a list of widgets and interaction examples.