.create_table()

.create_table() is a function in Plotly’s figure_factory module. It accepts data in the form of a list of lists or a Pandas DataFrame and returns a Plotly Figure object representing the table.

Syntax

plotly.figure_factory.create_table(table_text, index=False, font_colors=None, index_title='', **kwargs)

• table_text (list of lists or Pandas DataFrame): The table data to be displayed. If using a Pandas DataFrame, the table will automatically extract its values.
• index (bool): Whether to include an index column when using a Pandas DataFrame or use the first element of each inner list as an index when passing a list of lists. Default value is False.
• font_colors (list, optional): Specifies the font colors for the table text. It can be a single color for all text or a list defining colors for rows. Default is [#000000] (black text).
• index_title (str, optional): Sets the title for the index column if index=True. Default is an empty string.
• **kwargs: Additional keyword arguments passed to plotly.graph_objects.Heatmap for further customization.

Example

The following example showcases the use of the .create_table() function:

import plotly.figure_factory as ff
import pandas as pd

# Sample data
data = pd.DataFrame({
  "Name": ["Luke", "Anakin", "Padme", "Yoda"],
  "Age": [25, 50, 45, 353],
  "Planet": ["Tatooine", "Tatooine", "Naboo", "Dagobah"]
})

# Create a table
fig = ff.create_table(data)

# Show the figure
fig.show()

The code above produces the following output: