How can I use Plotly with different data sources in Jupyter Notebook?

How can I use Plotly with different data sources in Jupyter Notebook?

You can use Plotly in Jupyter Notebook by importing it and connecting it to various data sources like CSV files, databases, or APIs.

Can you show me an example of plotting data from a CSV file?

Sure! First, you need to import pandas to read the CSV file. Then, you can use Plotly to create a plot. Here's a simple example:

import pandas as pd
import plotly.express as px

df = pd.read_csv('data.csv')
fig = px.line(df, x='x_column', y='y_column')
fig.show()

What if I want to plot data from a SQL database?

You can use libraries like SQLAlchemy to connect to your database. After fetching the data into a DataFrame, you can plot it using Plotly in the same way.

Are there any limitations when using Plotly with large datasets?

Yes, large datasets can slow down rendering. It's often better to sample your data or use Plotly's Dash for more complex visualizations.