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 is
shimoku.plt.radar()It must contain the following input variables:
data: Union[str, DataFrame, List[Dict]
x: str, y: List[str]
menu_path: str
order: int
And accepts the following input variable as optional:
title: Optional[str]
rows_size: Optional[int]
cols_size: Optional[int]
padding: Optional[List[int]]
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},
]
shimoku.plt.radar(
data=data_,
x='name', y=['value1', 'value2', 'value3'],
menu_path='test/radar-1',
order=0, rows_size=2, cols_size=12,
)
The result is:
The radar in the default configuration. Note the use of a tooltip.
The chart has tooltips, when you hover the mouse over the figure, for example in this figure, Cheese Cocoa and three values.
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},
]
shimoku.plt.radar(
data=data_,
x='name', y=['value1', 'value2', 'value3'],
menu_path='test/radar-2',
order=0, rows_size=3, cols_size=8,
padding="0,0,0,1",
title='Index for preferred dessert',
)
The result is:
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.It is possible to use any number of rows.
Last modified 10mo ago