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First Dive into seaborn Visualization

book3-variable Scatterplot

We figured out how to build a scatterplot based on 2 variables. But we can also create a plot based on 3 variables!

The 3rd variable is named hue.

An example of a 3-variable scatterplot:

To initialize a 3-variable scatterplot based on the pandas DataFrame, we need to input at least 4 parameters: x, y (columns-coordinates for the plot), hue (the third variable), and data (he DataFrame containing the data).

Look at the code below!


              
12345678910111213

            
# 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/example5.csv')

# Creating the 3-variable scatterplot
sns.scatterplot(x = 'x', y = 'y', hue = 'gender', data= df)

# Showing the plot
plt.show()
copy

Let's solve a problem from a common example of using 3 variables on plots.

Tips problem

You have the following data:

  • What was the total bill of the visitor (bill);
  • What tips did he/she leave (tips);
  • Gender of the client (gender);
  • Daytime client visited the cafe (daytime).
Task

Swipe to start coding

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Create a scatterplot using 'bill' column for the x-value and 'tips' column for the y-value and 'daytime' for the hue-value using df dataset.
  5. Show the plot.

Solution

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Thanks for your feedback!

SectionΒ 2. ChapterΒ 3
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Completion rate improved to 5.88

book3-variable Scatterplot

We figured out how to build a scatterplot based on 2 variables. But we can also create a plot based on 3 variables!

The 3rd variable is named hue.

An example of a 3-variable scatterplot:

To initialize a 3-variable scatterplot based on the pandas DataFrame, we need to input at least 4 parameters: x, y (columns-coordinates for the plot), hue (the third variable), and data (he DataFrame containing the data).

Look at the code below!


              
12345678910111213

            
# 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/example5.csv')

# Creating the 3-variable scatterplot
sns.scatterplot(x = 'x', y = 'y', hue = 'gender', data= df)

# Showing the plot
plt.show()
copy

Let's solve a problem from a common example of using 3 variables on plots.

Tips problem

You have the following data:

  • What was the total bill of the visitor (bill);
  • What tips did he/she leave (tips);
  • Gender of the client (gender);
  • Daytime client visited the cafe (daytime).
Task

Swipe to start coding

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Create a scatterplot using 'bill' column for the x-value and 'tips' column for the y-value and 'daytime' for the hue-value using df dataset.
  5. 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 3
single

single

close

Awesome!

Completion rate improved to 5.88

book3-variable Scatterplot

Swipe to show menu

We figured out how to build a scatterplot based on 2 variables. But we can also create a plot based on 3 variables!

The 3rd variable is named hue.

An example of a 3-variable scatterplot:

To initialize a 3-variable scatterplot based on the pandas DataFrame, we need to input at least 4 parameters: x, y (columns-coordinates for the plot), hue (the third variable), and data (he DataFrame containing the data).

Look at the code below!


              
12345678910111213

            
# 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/example5.csv')

# Creating the 3-variable scatterplot
sns.scatterplot(x = 'x', y = 'y', hue = 'gender', data= df)

# Showing the plot
plt.show()
copy

Let's solve a problem from a common example of using 3 variables on plots.

Tips problem

You have the following data:

  • What was the total bill of the visitor (bill);
  • What tips did he/she leave (tips);
  • Gender of the client (gender);
  • Daytime client visited the cafe (daytime).
Task

Swipe to start coding

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Create a scatterplot using 'bill' column for the x-value and 'tips' column for the y-value and 'daytime' for the hue-value using df dataset.
  5. 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!

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