Python:Plotly figure_factory
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Published May 30, 2024
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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.
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