Course Content

First Dive into seaborn Visualization

1. Nice to Meet you, seaborn!

Practical Application A Little about seaborn Countplot Seaborn + Pandas

2. More and More Plots

Do you Need more Plots?Scatterplot 3-variable Scatterplot Colors in a 3-variable Plot Lineplot 3-variable Lineplot Histplot

3. Plot Customization

Why do we Need to Customize?Adding the Plot Title Let's Cope with Axes Decoration and...Decoration!I'm an Artist, that's how I See it!Final Challenge

Adding the Plot Title

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

Declare a plot variable;
Add the title.


              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/example3.csv')

# Creating the countplot and declaring the variable
g = sns.countplot(x = 'food', data = df)

# Setting the title 
g.set_title('Food')

# Showing the plot
plt.show()

Task

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Read the file using df variable.
Create a histplot variable g.
Set the title 'Fish'.
Show the plot.

Task

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Read the file using df variable.
Create a histplot variable g.
Set the title 'Fish'.
Show the plot.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 3. Chapter 2

Adding the Plot Title

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

Declare a plot variable;
Add the title.


              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/example3.csv')

# Creating the countplot and declaring the variable
g = sns.countplot(x = 'food', data = df)

# Setting the title 
g.set_title('Food')

# Showing the plot
plt.show()

Task

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Read the file using df variable.
Create a histplot variable g.
Set the title 'Fish'.
Show the plot.

Task

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Read the file using df variable.
Create a histplot variable g.
Set the title 'Fish'.
Show the plot.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 3. Chapter 2

Adding the Plot Title

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

Declare a plot variable;
Add the title.


              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/example3.csv')

# Creating the countplot and declaring the variable
g = sns.countplot(x = 'food', data = df)

# Setting the title 
g.set_title('Food')

# Showing the plot
plt.show()

Task

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Read the file using df variable.
Create a histplot variable g.
Set the title 'Fish'.
Show the plot.

Task

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Read the file using df variable.
Create a histplot variable g.
Set the title 'Fish'.
Show the plot.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

Declare a plot variable;
Add the title.


              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/example3.csv')

# Creating the countplot and declaring the variable
g = sns.countplot(x = 'food', data = df)

# Setting the title 
g.set_title('Food')

# Showing the plot
plt.show()

Task

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Read the file using df variable.
Create a histplot variable g.
Set the title 'Fish'.
Show the plot.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 3. Chapter 2

Switch to desktop for real-world practiceContinue from where you are using one of the options below