How can I add interactivity to my Plotly graphs in Jupyter Notebook?

How can I add interactivity to my Plotly graphs in Jupyter Notebook?

You can use Plotly's built-in features like sliders, dropdowns, and buttons to add interactivity. Would you like a code example?

Yes, please provide a code example for a simple interactive graph.

Here's a basic example:

import plotly.graph_objects as go
import numpy as np

x = np.linspace(0, 10, 100)
y = np.sin(x)

fig = go.Figure()
fig.add_trace(go.Scatter(x=x, y=y, mode='lines', name='Sine Wave'))

fig.update_layout(title='Interactive Sine Wave',
                  xaxis_title='X-axis',
                  yaxis_title='Y-axis')

fig.show()

You can add sliders or buttons to modify the graph dynamically.

How do I add a slider to change the frequency of the sine wave?

You can use the update method to add a slider. Here's an example:

import plotly.graph_objects as go
import numpy as np
from plotly.subplots import make_subplots

x = np.linspace(0, 10, 100)

fig = make_subplots(rows=1, cols=1)

for freq in [1, 2, 3]:
    y = np.sin(freq * x)
    fig.add_trace(go.Scatter(x=x, y=y, mode='lines', name=f'Sine Wave {freq}x'))

fig.update_layout(title='Interactive Sine Wave with Slider',
                  xaxis_title='X-axis',
                  yaxis_title='Y-axis',
                  sliders=[dict(active=0, steps=[dict(method='update',
                                                      args=[{'y': [np.sin(freq * x) for freq in [1, 2, 3]]}],
                                                      label=str(freq)) for freq in [1, 2, 3]] )])

fig.show()

This will allow you to change the frequency interactively.