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Learn Colors in a 3-variable Plot | More and More Plots
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Colors in a 3-variable Plot

We also can change colors for the 3rd variable manually. To do that, we need to create a kind of a palette.

To set colors for a 3-variable plot:

It is important to create a new color palette for the hue variable and add this palette as an argument in the plot function.

The short list of the matplotlib colors: blue, green, red, green/blue, yellow, purple, white, black, etc.

Let's change gender colors in the Tips problem!

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# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/bilibili.csv') # Setting colors for the hue variable hue_colors = {'woman':'red', 'man':'black'} # Creating the 3-variable scatterplot sns.scatterplot(x = 'bill', y = 'tips', hue = 'gender', data=df, palette = hue_colors) # Showing the plot plt.show()
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Task

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  1. Set the 'blue' color for breakfast, 'purple' for lunch, 'green' for dinner for the hue value.
  2. Show the plot.

Solution

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SectionΒ 2. ChapterΒ 4
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book
Colors in a 3-variable Plot

We also can change colors for the 3rd variable manually. To do that, we need to create a kind of a palette.

To set colors for a 3-variable plot:

It is important to create a new color palette for the hue variable and add this palette as an argument in the plot function.

The short list of the matplotlib colors: blue, green, red, green/blue, yellow, purple, white, black, etc.

Let's change gender colors in the Tips problem!

12345678910111213141516
# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/bilibili.csv') # Setting colors for the hue variable hue_colors = {'woman':'red', 'man':'black'} # Creating the 3-variable scatterplot sns.scatterplot(x = 'bill', y = 'tips', hue = 'gender', data=df, palette = hue_colors) # Showing the plot plt.show()
copy
Task

Swipe to start coding

  1. Set the 'blue' color for breakfast, 'purple' for lunch, 'green' for dinner for the hue value.
  2. Show the plot.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 2. ChapterΒ 4
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
We're sorry to hear that something went wrong. What happened?
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