heatmap_chart

This function creates a heatmap chart.

heatmap_chart(**kwargs)

Input Variables

Name	Description	Type
plot_setup	Dictionary for heatmap configuration, including the following keys: name: Path and name of the output figure file width: Width of the figure (in SI units) height: Height of the figure (in SI units) extension: File extension for the saved figure dots_per_inch: Resolution of the figure in dots per inch (DPI) mask: Boolean indicating whether to mask the upper triangle of the heatmap line_widths: Width of the lines between cells in the heatmap color_map: Colormap to use for the heatmap line_color: Color of the grid lines between cells annot: Boolean indicating whether to annotate cells with correlation values annot_font_size: Font size for the annotations	Dictionary
dataset	Array-like dataset containing the values for plotting the heatmap	List or array

Output Variables

Name	Description	Type
None	The function displays the heatmap on the screen and saves it to the local folder of the script or notebook (.ipynb or .py).	None

Example 1

Use the heatmap_chart function to generate a heatmap.

# Data
DF = pd.DataFrame({ 'A1': [random.randint(1, 100) for _ in range(10)],
                    'A2': [random.randint(1, 100) for _ in range(10)],
                    'A3': [random.randint(1, 100) for _ in range(10)],
                    'A4': [random.randint(1, 100) for _ in range(10)],
                    'A5': [random.randint(1, 100) for _ in range(10)]
                  })

# Chart setup
plot_setup = {
    'name': 'figure1-7-1',
    'width': 30,
    'height': 15,
    'mask': False,
    'line widths': 8,
    'color map': 'plasma',
    'line color': 'white',
    'annot': True,
    'annot size font': 12,
    'dots per inch': 600,
    'extension': 'svg'
}


# Data statement 
DATA = {'dataset': DF}

# Call function
heatmap_chart(dataset = DATA, plot_setup = plot_setup)

Figure 1. Heatmap of DataFrame Correlation.