Скачать или смотреть Python Data Analysis Bootcamp class 6 - 05 Seaborn Heatmap

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The heatmap is a highly effective tool for discerning the strength and direction of correlations within a dataset, facilitating the identification of relationships that warrant closer examination. It simplifies the visualization of a correlation matrix, making it an invaluable asset for data exploration. To enhance its interpretability, the choice of color palette is critical, with the diverging palette suitable for representing both positive and negative correlations, and the light palette generator useful when dealing with unidirectional correlations.



Arguments of Interest:

annot: If set to True, it adds numerical annotations in the cells, providing the exact values for each cell.

fmt: This argument specifies the format for the numerical annotations (e.g., '.2f' for two decimal places).

lw (line width) argument in the heatmap function in Seaborn. Used to set the width of the lines that divide each cell in the heatmap.

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