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First Dive into seaborn Visualization

bookSeaborn + Pandas

What isΒ 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:

# Importing the pandas 
import pandas as pd 

# Reading the file
df = pd.read_csv('file.csv')

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()
copy

Let's solve this problem!

Task

Swipe to start coding

  1. Import the seaborn with the sns alias.

  2. Import the matplotlib.pyplot with the plt alias.

  3. Import the pandas with the pd alias.

  4. Read the file using df variable.

  5. Create the x-oriented countplot using the 'Bamboo' column in the plot function.

  6. Show the plot.

Solution

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SectionΒ 1. ChapterΒ 4
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bookSeaborn + Pandas

What isΒ 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:

# Importing the pandas 
import pandas as pd 

# Reading the file
df = pd.read_csv('file.csv')

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()
copy

Let's solve this problem!

Task

Swipe to start coding

  1. Import the seaborn with the sns alias.

  2. Import the matplotlib.pyplot with the plt alias.

  3. Import the pandas with the pd alias.

  4. Read the file using df variable.

  5. Create the x-oriented countplot using the 'Bamboo' column in the plot function.

  6. Show the plot.

Solution

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!

SectionΒ 1. ChapterΒ 4
single

single

close

Awesome!

Completion rate improved to 5.88

bookSeaborn + Pandas

Swipe to show menu

What isΒ 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:

# Importing the pandas 
import pandas as pd 

# Reading the file
df = pd.read_csv('file.csv')

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()
copy

Let's solve this problem!

Task

Swipe to start coding

  1. Import the seaborn with the sns alias.

  2. Import the matplotlib.pyplot with the plt alias.

  3. Import the pandas with the pd alias.

  4. Read the file using df variable.

  5. Create the x-oriented countplot using the 'Bamboo' column in the plot function.

  6. Show the plot.

Solution

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!

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