vastorbit.VastFrame.scatter_matrix¶
- VastFrame.scatter_matrix(columns: Annotated[str | list[str], 'STRING representing one column or a list of columns'] | None = None, max_nb_points: int = 1000, **style_kwargs) PlottingBase | TableSample | Axes | mFigure | Figure¶
Draws the scatter matrix of the VastFrame.
- Parameters:
columns (SQLColumns, optional) – List of the VastColumns names. If empty, all numerical VastColumns are used.
max_nb_points (int, optional) – Maximum number of points to display for each scatter plot.
**style_kwargs – Any optional parameter to pass to the plotting functions.
- Returns:
Plotting Object.
- Return type:
obj
Examples
Note
The below example is a very basic one. For other more detailed examples and customization options, please see Chart Gallery
Let’s begin by importing vastorbit.
import vastorbit as vo
Let’s also import numpy to create a dataset.
import numpy as np
We can create a variable
Nto fix the size:N = 30
Let’s generate a dataset using the following data.
data = vo.VastFrame( { "x": np.random.normal(5, 1, N), "y": np.random.normal(8, 1.5, N), } )
Below is an examples of one type of scatter_matrix plots:
Scatter Matrix
@suppress vo.set_option("plotting_lib", "matplotlib") data.scatter_matrix(columns = ["x", "y"])