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

Seaborn + Pandas

What is the pandas?

Python library for data analysis;
Easily reads DataSets from csv, txt, and other types of files;
DataSets take the form of DataFrame objects.

When you read a dataset with the help of the pandas you create a DataFrame:

To initialize a countplot based on the pandas DataFrame, we need to input at least 2 parameters: x (the column whose values will be counted) and data (the DataFrame containing the data).

Look at the code below!


              123456789101112131415
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt
# Importing the pandas 
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
sns.countplot(x = 'food', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Task

Import the seaborn with the sns alias.
Import the matplotlib.pyplot with the plt alias.
Import the pandas with the pd alias.
Read the file using df variable.
Create the x-oriented countplot using the 'Bamboo' column in the plot function.
Show the plot.

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

Everything was clear?

Thanks for your feedback!

Section 1. Chapter 4

Seaborn + Pandas

What is the pandas?

Python library for data analysis;
Easily reads DataSets from csv, txt, and other types of files;
DataSets take the form of DataFrame objects.

When you read a dataset with the help of the pandas you create a DataFrame:

To initialize a countplot based on the pandas DataFrame, we need to input at least 2 parameters: x (the column whose values will be counted) and data (the DataFrame containing the data).

Look at the code below!


              123456789101112131415
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt
# Importing the pandas 
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
sns.countplot(x = 'food', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Task

Import the seaborn with the sns alias.
Import the matplotlib.pyplot with the plt alias.
Import the pandas with the pd alias.
Read the file using df variable.
Create the x-oriented countplot using the 'Bamboo' column in the plot function.
Show the plot.

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

Everything was clear?

Thanks for your feedback!

Section 1. Chapter 4

Seaborn + Pandas

What is the pandas?

Python library for data analysis;
Easily reads DataSets from csv, txt, and other types of files;
DataSets take the form of DataFrame objects.

When you read a dataset with the help of the pandas you create a DataFrame:

To initialize a countplot based on the pandas DataFrame, we need to input at least 2 parameters: x (the column whose values will be counted) and data (the DataFrame containing the data).

Look at the code below!


              123456789101112131415
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt
# Importing the pandas 
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
sns.countplot(x = 'food', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Task

Import the seaborn with the sns alias.
Import the matplotlib.pyplot with the plt alias.
Import the pandas with the pd alias.
Read the file using df variable.
Create the x-oriented countplot using the 'Bamboo' column in the plot function.
Show the plot.

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

Everything was clear?

Thanks for your feedback!

What is the pandas?

Python library for data analysis;
Easily reads DataSets from csv, txt, and other types of files;
DataSets take the form of DataFrame objects.

When you read a dataset with the help of the pandas you create a DataFrame:

To initialize a countplot based on the pandas DataFrame, we need to input at least 2 parameters: x (the column whose values will be counted) and data (the DataFrame containing the data).

Look at the code below!


              123456789101112131415
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt
# Importing the pandas 
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
sns.countplot(x = 'food', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Task

Import the seaborn with the sns alias.
Import the matplotlib.pyplot with the plt alias.
Import the pandas with the pd alias.
Read the file using df variable.
Create the x-oriented countplot using the 'Bamboo' column in the plot function.
Show the plot.

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

Section 1. Chapter 4

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