figure_factory
Anonymous contributor
Published May 30, 2024
Contribute to Docs
In Plotly, the figure_factory
module simplifies creating advanced charts such as heatmaps, candlestick charts, and dendrograms by providing simple, high-level functions that manage the intricate details of these visualizations.
Syntax
import plotly.figure_factory as ff
figure_factory
- .create_bullet()
- Generates bullet charts to visualize performance metrics against a target using Plotly.
- .create_dendrogram()
- Generates a hierarchical cluster tree to visualize relationships between data points.
- .create_distplot()
- Generates a distribution plot to visualize the distribution of data, combining a histogram and a kernel density estimate.
- .create_gantt()
- Creates a Gantt chart, a type of bar chart that delineates a project schedule by illustrating task durations, dependencies, and timelines.
- .create_quiver()
- Generates quiver plots to visualize vector fields using arrows to indicate direction and magnitude.
- .create_streamline()
- Creates streamline visualizations of 2D vector fields.
- .create_table()
- Creates a table visualization from a list of lists or a Pandas DataFrame.
All contributors
- Anonymous contributor
Contribute to Docs
- Learn more about how to get involved.
- Edit this page on GitHub to fix an error or make an improvement.
- Submit feedback to let us know how we can improve Docs.
Learn Python:Plotly on Codecademy
- Career path
Computer Science
Looking for an introduction to the theory behind programming? Master Python while learning data structures, algorithms, and more!Includes 6 CoursesWith Professional CertificationBeginner Friendly75 hours - Course
Learn Python 3
Learn the basics of Python 3.12, one of the most powerful, versatile, and in-demand programming languages today.With CertificateBeginner Friendly23 hours