scatter_mesh_grid

This function creates a scatter mesh grid chart with filled contours and overlayed scatter points.

scatter_mesh_grid(**kwargs)

Input variables

Name	Description	Type
plot_setup	Setup chart Dictionary with the following keys: name: Path + name of the figure width: Figure width in SI units height: Figure height in SI units marker_size: Size of the scatter markers color_map: Color map for the mesh grid y_axis_label: Label for the y axis y_axis_size: Font size for the y axis label x_axis_label: Label for the x axis x_axis_size: Font size for the x axis label labels_size: Font size for labels labels_color: Color of the labels axises_color: Color of the axes on_grid: Whether to display grid lines y_log: Whether to use a logarithmic scale for the y axis x_log: Whether to use a logarithmic scale for the x axis dots_per_inch: Resolution in dots per inch extension: File extension for saving the figure	Dictionary
dataset	Dataset to plot	List or array

Output variables

Name	Description	Type
None	The function displays the scatter mesh grid plot on the screen and saves it to the local folder of the .ipynb or .py	None

Example 1

Use the scatter_mesh_grid function to create a scatter mesh grid plot with filled contours and scatter points overlayed.

import numpy as np

x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
z = np.sin(np.sqrt(np.add.outer(x**2, y**2))) # Exemplo de função para o mesh grid

# Data
df = {
    'x': y,
    'y': x,
    'z': z,  
    'x_points': np.random.uniform(-5, 5, 100),
    'y_points': np.random.uniform(-5, 5, 100),
}

# Chart setup
chart_config = {
                'name': 'scatter_mesh_grid_plot',
                'width': 8,
                'height': 6,
                'extension': 'jpg',
                'dots_per_inch': 100,
                'marker_size': 10,
                'color_map': 'viridis',
                'y_axis_label': 'Axis Y',
                'y_axis_size': 12,
                'x_axis_label': 'Axis X',
                'x_axis_size': 12,
                'labels_size': 10,
                'labels_color': 'black',
                'axises_color': 'gray',
                'on_grid': True,
                'y_log': False,
                'x_log': False,
            }

# Call function
scatter_mesh_grid(dataset=df, plot_setup=chart_config)

Figure 1. Scatter Mesh Grid Plot with Filled Contours and Scatter Points.

Notebook example