Python:Plotly .Figure()

The .Figure() class in Plotly is used to create and manipulate figures. It provides a high-level interface for creating complex visualizations.

Syntax

plotly.graph_objects.Figure(data=None, layout=None, frames=None, skip_invalid=False, **kwargs)

• data: List of trace objects defining the visual data (e.g., go.Scatter).
• layout: Layout object or dictionary for customizing figure appearance (e.g., titles, axes).
• frames: List of frame objects used for creating animations within the figure.
• skip_invalid: Boolean to skip invalid properties without raising errors.
• **kwargs: Additional keyword arguments for further customization of the figure.

Example

The following example showcases the use of .Figure():

import plotly.graph_objects as go

years = [2019, 2020, 2021, 2022, 2023]
inflation_rates = [2.21, 1.94, 3.47, 7.97, 5.41]

data = [go.Scatter(x=years, y=inflation_rates, mode='lines+markers', name='Inflation Rate')]

layout = go.Layout(
    title='Global Inflation Over the Last 5 Years',
    xaxis_title='Year',
    yaxis_title='Inflation Rate (%)',
    template='plotly_dark'
)

frames = [go.Frame(data=[go.Scatter(x=years[:k+1], y=inflation_rates[:k+1])]) for k in range(len(years))]

fig = go.Figure(data=data, layout=layout, frames=frames)

fig.show()

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This example creates a line graph representing global inflation rates over the past five years. It defines data for the plot, layout for appearance settings, and frames for animation steps before passing them to the Figure() class to generate the visualization.

The above code generates the following code