Interactive Visualizations with Plotly
Plotly Express, interactive charts, dashboards, animations, geographic maps, export
1What is the main difference between Plotly Express and Plotly Graph Objects?
What is the main difference between Plotly Express and Plotly Graph Objects?
Answer
Plotly Express is a high-level API that allows creating charts in a single line of code with simple parameters. Plotly Graph Objects is the low-level API offering complete control over every chart element. Plotly Express uses Graph Objects internally, which allows switching between them to further customize charts.
2How to create a scatter plot with Plotly Express from a Pandas DataFrame?
How to create a scatter plot with Plotly Express from a Pandas DataFrame?
Answer
The px.scatter() function takes a DataFrame and uses x and y parameters to specify which columns to display on each axis. This concise syntax allows quickly creating interactive visualizations without complex configuration. Optional parameters like color, size and hover_data allow enriching the chart.
3Which Plotly Express parameter allows coloring points according to a categorical variable?
Which Plotly Express parameter allows coloring points according to a categorical variable?
Answer
The color parameter in Plotly Express automatically assigns distinct colors to each unique value of a categorical variable. Plotly generates an interactive legend and uses a default color palette optimized for visual distinction. This parameter also works with numerical variables to create a color gradient.
How to display a Plotly chart in a Jupyter notebook?
How to export a Plotly chart to HTML format for sharing?
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