Seaborn offers multiple colour palettes which can be used in collaboration with your data plots in matplotlib to make eye catching data visuals Following are the varied range of colour palettes that can be displayed The following codes output them in a horizontal array (pyplot) But, the same can be applied to any data representation form
#1 Dark Default Colour palette
#2: Pastel (faded) Default Colour palette
#3: Deep Default Colour palette
#4: Muted Default Colour palette
#5: Colorblind Default Colour palette
#6: Bright Default Colour palette
- The various shades of Blue colour will be displayed in a light to dark order
- A similar palette can be made for other colours (Orange, Purple, Green, Red)
- Be sure to add a 's' after the colour name and capitalize the first letter
- Using any of 6 specified color-maps,light to dark or dark to light heatmaps are displayed
- All these heatmaps can be reversed by trailing thier name with a "_r"
#1: rocket
#2: mako
#3: flare
#4: crest
#5: magma
#6: viridis
- Dark from either side, but converge into the center towards a lighter/white spectra or vice versa
#1: vlag: dark to light
#2: icefire: light to dark
#3: coolwarm : Blue & Red
