How can I create interactive visualizations using Python?

How can I create interactive visualizations using Python?

You can use libraries like Plotly, Bokeh, or Dash to create interactive visualizations in Python. Do you have a specific library in mind?

I’ve heard of Plotly. Can you give me a simple example?

Sure! Here’s a basic example using Plotly to create a scatter plot:

import plotly.express as px
import pandas as pd

# Sample data
df = pd.DataFrame({
    'x': [1, 2, 3, 4, 5],
    'y': [10, 11, 12, 13, 14],
    'label': ['A', 'B', 'C', 'D', 'E']
})

# Create scatter plot
fig = px.scatter(df, x='x', y='y', text='label')
fig.show()

This will create an interactive scatter plot where you can hover over points to see labels.

That looks great! Can I customize the colors and styles?

Absolutely! You can customize colors, markers, and styles using various parameters in Plotly. For example:

fig = px.scatter(df, x='x', y='y', text='label', color='label', color_discrete_sequence=px.colors.qualitative.Plotly)
fig.update_traces(marker=dict(size=12, line=dict(width=2, color='DarkSlateGrey')))
fig.show()

This will change the marker size and add a border color.

Thanks! What about adding interactivity like dropdowns?

You can add dropdowns using Plotly's dcc.Dropdown in Dash. Would you like a quick example of that?