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Here is the state of affairs: You want visualizations, however you’re tired of Matplotlib. You need one thing high-level, fast and straightforward, but additionally one thing that generates engaging outcomes. You need the choice for interactivity as nicely.
Given the above, there’s a good case to be made for Plotly Categorical. You certainly already know Plotly, the low-level interactive visualisation library fashionable amongst information scientists. However are you aware of its sibling?
Plotly Categorical offers more than 30 functions for creating different types of figures. The API for these capabilities was rigorously designed to be as constant and straightforward to be taught as attainable, making it simple to modify from a scatter plot to a bar chart to a histogram to a sunburst chart all through a knowledge exploration session.
If you wish to get began with utilizing Plotly Categorical to create high-quality visualizations, look no further than our latest cheat sheet.
Plotly Categorical is a high-level information visualization library in Python constructed on high of Plotly, a low-level library for creating interactive visualizations. It offers a easy and expressive API for creating a variety of interactive charts.
The cheat sheet first addresses getting began, comparable to putting in the library and its fundamental syntax. Subsequent, the sources covers creating widespread chart sorts with Plotly Categorical, together with:
- Scatter plot
- Histogram
- Density heatmap
- Pie chart
- Field plot
Lastly, you’ll achieve some publicity to plot customization, together with adjusting markers and layouts.
Do not get caught utilizing the identical boring visualizations to share your discoveries with. Begin utilizing Plotly Categorical and preserve out cheat sheet useful for referencing as you be taught.
Check it out now, and verify again quickly for extra.
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