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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

bookLineplot

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()
copy

Let's solve this problem!

Task

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas withpd alias.
  4. Read the file.
  5. Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
  6. 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 5
toggle bottom row

bookLineplot

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()
copy

Let's solve this problem!

Task

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas withpd alias.
  4. Read the file.
  5. Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
  6. 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 5
toggle bottom row

bookLineplot

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()
copy

Let's solve this problem!

Task

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas withpd alias.
  4. Read the file.
  5. Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
  6. 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!

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()
copy

Let's solve this problem!

Task

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas withpd alias.
  4. Read the file.
  5. Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
  6. 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 5
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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