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On this page
  • The Method To Use
  • Examples
  • 1. Default Configuration
  • 2. Customization And Context

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  1. Elements
  2. Charts

Radar

Radar charts (also known as spider charts, polar charts, web charts, or star plots) are a way to visualize multivariate data. They are used to plot one or more groups of values over multiple common variables.

The Method To Use

The method is s.plt.radar()

It must contain the following input variables:

order: int 
names: str
data: Union[str, DataFrame, List[Dict]]

And accepts the following input variable as optional:

values: Optional[List[str]]
max_field: Optional[str] 
fill_area: bool
title: Optional[str] 
rows_size: Optional[int]
cols_size: Optional[int] 
padding: Optional[List[int]]
option_modifications: Optional[Dict]

Examples

1. Default Configuration

data = [
    {'name': 'Matcha Latte', 'value1': 78, 'value2': 6, 'value3': 85},
    {'name': 'Milk Tea', 'value1': 17, 'value2': 20, 'value3': 63},
    {'name': 'Cheese Cocoa', 'value1': 57, 'value2': 10, 'value3': 95},
    {'name': 'Walnut Brownie', 'value1': 35, 'value2': 71, 'value3': 16},
]

s.plt.radar(
    data=data, names='name',
    order=0, rows_size=2, cols_size=12,
)

2. Customization And Context

data = [
    {'name': 'Matcha Latte', 'value1': 78, 'value2': 6, 'value3': 85, 'value 4': 25},
    {'name': 'Milk Tea', 'value1': 17, 'value2': 10, 'value3': 63, 'value 4': 35},
    {'name': 'Cheese Cocoa', 'value1': 38, 'value2': 15, 'value3': 65, 'value 4': 45},
    {'name': 'Walnut Brownie', 'value1': 9, 'value2': 71, 'value3': 16, 'value 4': 40},
]

s.plt.radar(
    data=data, names='name',
    order=0, rows_size=3, cols_size=8, fill_area=True,
    padding="0,0,0,1", title='Index for preferred dessert',
)

Featured Content

Changing the Menu Path The menu_path can be modified.

Using the Grid

It is possible to use any number of rows.

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Last updated 1 year ago

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💡
The radar in the default configuration.
The radar chart is fully customized. It received a title, note the space before the component using padding='0,0,0,1', and size with rows_size=3, cols_size=8.