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

Lineplot

An example of a lineplot:

To initialize a line plot based on the pandas DataFrame, we need to input at least 3 parameters: x and y (columns-coordinates for the plot) and data (the 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/example4.csv')

# Creating the lineplot
sns.lineplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Task

Swipe to show code editor

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas withpd alias.
Read the file.
Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
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 2. Chapter 5

Lineplot

An example of a lineplot:

To initialize a line plot based on the pandas DataFrame, we need to input at least 3 parameters: x and y (columns-coordinates for the plot) and data (the 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/example4.csv')

# Creating the lineplot
sns.lineplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Task

Swipe to show code editor

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas withpd alias.
Read the file.
Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
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 2. Chapter 5

Lineplot

An example of a lineplot:

To initialize a line plot based on the pandas DataFrame, we need to input at least 3 parameters: x and y (columns-coordinates for the plot) and data (the 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/example4.csv')

# Creating the lineplot
sns.lineplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Task

Swipe to show code editor

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas withpd alias.
Read the file.
Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
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!

An example of a lineplot:

To initialize a line plot based on the pandas DataFrame, we need to input at least 3 parameters: x and y (columns-coordinates for the plot) and data (the 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/example4.csv')

# Creating the lineplot
sns.lineplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Task

Swipe to show code editor

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas withpd alias.
Read the file.
Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
Show the plot.

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

Section 2. Chapter 5

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