ipywidgets

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ipywidgets is a Python library that provides interactive HTML widgets for Jupyter notebooks and the IPython kernel. These widgets enhance the interactivity of Jupyter notebooks by allowing users to create interactive controls, such as sliders, buttons, and text boxes, which can be used to manipulate and visualize data in real-time.

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Usage Example

Here’s a simple example of using ipywidgets to create an interactive slider that updates a plot:

import numpy as np
import matplotlib.pyplot as plt
import ipywidgets as widgets
from IPython.display import display

# Define a function to update the plot
def update_plot(frequency):
    x = np.linspace(0, 2 * np.pi, 1000)
    y = np.sin(frequency * x)
    plt.plot(x, y)
    plt.ylim(-1, 1)
    plt.show()

# Create an interactive slider
frequency_slider = widgets.FloatSlider(
    value=1.0,
    min=0.1,
    max=5.0,
    step=0.1,
    description='Frequency:',
    continuous_update=False
)

# Display the slider and plot
output = widgets.Output()
display(frequency_slider, output)

def on_value_change(change):
    with output:
        output.clear_output(wait=True)
        update_plot(change['new'])

frequency_slider.observe(on_value_change, names='value')

In this example, a slider is created to adjust the frequency of a sine wave, and the plot updates interactively as the slider is moved.