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First Dive into seaborn Visualization
course content

Course Content

First Dive into seaborn Visualization

First Dive into seaborn Visualization

1. Nice to Meet you, seaborn!
Practical ApplicationA Little about seabornCountplotSeaborn + Pandas
2. More and More Plots
Do you Need more Plots?Scatterplot3-variable ScatterplotColors in a 3-variable PlotLineplot3-variable LineplotHistplot
3. Plot Customization
Why do we Need to Customize?Adding the Plot TitleLet's Cope with AxesDecoration and...Decoration!I'm an Artist, that's how I See it!Final Challenge

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
test

Swipe to show code editor

  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.

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!

Section 2. Chapter 3
toggle bottom row

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
test

Swipe to show code editor

  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.

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!

Section 2. Chapter 3
toggle bottom row

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
test

Swipe to show code editor

  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.

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!

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
test

Swipe to show code editor

  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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 3
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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