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Oppiskele Colors in a 3-variable Plot | More and More Plots
First Dive into seaborn Visualization

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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!

# 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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# 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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Tehtävä

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.

Ratkaisu

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/bilibili.csv')

hue_colors = {'breakfast' : 'blue', 'lunch' : 'purple', 'dinner' : 'green'}

sns.scatterplot(x = 'bill', y = 'tips', hue = 'daytime', data = df, palette = hue_colors)

plt.show()

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Osio 2. Luku 4
# Import 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')

# Set the palette for daytimes
hue_colors = {'breakfast' : '___', '___' : '___', '___ ' : '___'}

# Create the 3-variable scatterplot
sns.scatterplot(x = 'bill', y = 'tips', hue = 'daytime', data = df, palette = hue_colors)

# Show the plot
___

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