DataFrame

Series is the simplest data structure in pandas. Now let's delve into a more complex data structure: DataFrame. This is a two-dimensional object that is more commonly used.

Think of a DataFrame as akin to a spreadsheet, capable of containing large volumes of data. Like a spreadsheet, a DataFrame comes with an index and columns.

To create a DataFrame object, you'll need to use a dictionary in conjunction with the .DataFrame() function. Let's examine how the coding is executed.


              123456
            
import pandas as pd
dataset = {'name' : ['Ann', 'Alex', 'Kevin', 'Kate'], 
          'age' : [35, 12, 24, 45]}

data_frame = pd.DataFrame(dataset)
print(data_frame)

Task

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Let's craft an animal DataFrame using the dataset data and the pd.DataFrame() function. Give it a try!

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Everything was clear?

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Section 1. Chapter 4

DataFrame

Series is the simplest data structure in pandas. Now let's delve into a more complex data structure: DataFrame. This is a two-dimensional object that is more commonly used.

Think of a DataFrame as akin to a spreadsheet, capable of containing large volumes of data. Like a spreadsheet, a DataFrame comes with an index and columns.

To create a DataFrame object, you'll need to use a dictionary in conjunction with the .DataFrame() function. Let's examine how the coding is executed.


              123456
            
import pandas as pd
dataset = {'name' : ['Ann', 'Alex', 'Kevin', 'Kate'], 
          'age' : [35, 12, 24, 45]}

data_frame = pd.DataFrame(dataset)
print(data_frame)

Task

Swipe to show code editor

Let's craft an animal DataFrame using the dataset data and the pd.DataFrame() function. Give it a try!

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

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