Lære Countplot | Nice to Meet you, seaborn!

A countplot is a plot that takes a categorical list and returns columns that represent the number of list entries for each category.

An example of a countplot:

To initialize a countplot, we need to input at least 1 parameter: x (the column in which values will be counted).

Note

We may also use y instead of x to change the orientation of the plot.

As the seaborn is based on the matplotlib, we may use a special matplotlib.pyplot library and its function plt.show() to show the plot:

# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt

# Showing the plot
plt.show()

Look at the code below!


              12345678910111213
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot
import matplotlib.pyplot as plt

# Data list
data_list = ['apple', 'fish', 'milk', 'milk', 'apple', 'apple', 'milk', 'fish', 'fish']

# Creating the countplot
sns.countplot(x = data_list)

# Showing the plot
plt.show()

Let's solve this problem!

Opgave

Swipe to start coding

Import the seaborn library with the sns alias.
Import the matplotlib.pyplot library with the plt alias.
Initialize the x-oriented countplot for guests_list.
Show the plot.

Løsning

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Var alt klart?

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Sektion 1. Kapitel 3

single

Spørg AI

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

A countplot is a plot that takes a categorical list and returns columns that represent the number of list entries for each category.

An example of a countplot:

To initialize a countplot, we need to input at least 1 parameter: x (the column in which values will be counted).

Note

We may also use y instead of x to change the orientation of the plot.

As the seaborn is based on the matplotlib, we may use a special matplotlib.pyplot library and its function plt.show() to show the plot:

# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt

# Showing the plot
plt.show()

Look at the code below!


              12345678910111213
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot
import matplotlib.pyplot as plt

# Data list
data_list = ['apple', 'fish', 'milk', 'milk', 'apple', 'apple', 'milk', 'fish', 'fish']

# Creating the countplot
sns.countplot(x = data_list)

# Showing the plot
plt.show()

Let's solve this problem!

Opgave

Swipe to start coding

Import the seaborn library with the sns alias.
Import the matplotlib.pyplot library with the plt alias.
Initialize the x-oriented countplot for guests_list.
Show the plot.

Løsning

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 1. Kapitel 3

single

Stryg for at vise menuen

A countplot is a plot that takes a categorical list and returns columns that represent the number of list entries for each category.

An example of a countplot:

To initialize a countplot, we need to input at least 1 parameter: x (the column in which values will be counted).

Note

We may also use y instead of x to change the orientation of the plot.

As the seaborn is based on the matplotlib, we may use a special matplotlib.pyplot library and its function plt.show() to show the plot:

# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt

# Showing the plot
plt.show()

Look at the code below!


              12345678910111213
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot
import matplotlib.pyplot as plt

# Data list
data_list = ['apple', 'fish', 'milk', 'milk', 'apple', 'apple', 'milk', 'fish', 'fish']

# Creating the countplot
sns.countplot(x = data_list)

# Showing the plot
plt.show()

Let's solve this problem!

Opgave

Swipe to start coding

Import the seaborn library with the sns alias.
Import the matplotlib.pyplot library with the plt alias.
Initialize the x-oriented countplot for guests_list.
Show the plot.

Løsning

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Countplot

Løsning

Awesome!

Countplot

Løsning

Awesome!

Countplot

Løsning