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Python Data Analysis Tips when how to use the diverging palette versus light palette in Seaborn


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Use the Diverging Palette in Python with Seaborn to highlight positive and negative correlation

Learn how to and when to use the diverging palette in Seaborn. The light and dark palettes are monochromatic in that they only have one color, when highlighting both positive and negative correlations it is better to use the diverging palette that will highlight how positive and how negative values are.









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Use the diverging palette with Seaborn's Heatmap

Use Seaborn's heatmap with Pandas's .corr function to plot the linear correlations in your data while using Seaborn's diverging palette to contrast positive and negative relationships.


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Use Loop in Python to find right color palette

Put the diverging palette through a loop in Python to find out which integer gives you the color palette you desire.


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Best Color palette in Seaborn

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