Learn DataFrame | The Very First Steps

To recap, a Series is a one-dimensional data structure, similar to a list or a column in a spreadsheet. It holds data of the same type, with each element labeled by an index.

In contrast, a DataFrame is a versatile two-dimensional structure in Pandas, similar to a table or spreadsheet, with rows and columns. It can hold data of different types, with each column functioning as a Series. Like a spreadsheet, a DataFrame includes both an index and column labels, making it ideal for handling large, structured datasets.

To create a DataFrame object, you'll need to use a dictionary in conjunction with the .DataFrame() constructor.


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

people_df = pd.DataFrame(people_data)
print(people_df)

Note

If you want to explicitly indicate that the variable represents a DataFrame, you can include df in the variable name, as shown in this example (people_df).

Task

Swipe to start coding

You are given a dictionary named animals_data.

Create a DataFrame named animals using this dictionary.

Solution

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

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Section 1. Chapter 4

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To recap, a Series is a one-dimensional data structure, similar to a list or a column in a spreadsheet. It holds data of the same type, with each element labeled by an index.

To create a DataFrame object, you'll need to use a dictionary in conjunction with the .DataFrame() constructor.


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

people_df = pd.DataFrame(people_data)
print(people_df)

Note

If you want to explicitly indicate that the variable represents a DataFrame, you can include df in the variable name, as shown in this example (people_df).

Task

Swipe to start coding

You are given a dictionary named animals_data.

Create a DataFrame named animals using this dictionary.

Solution

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

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To recap, a Series is a one-dimensional data structure, similar to a list or a column in a spreadsheet. It holds data of the same type, with each element labeled by an index.

To create a DataFrame object, you'll need to use a dictionary in conjunction with the .DataFrame() constructor.


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

people_df = pd.DataFrame(people_data)
print(people_df)

Note

If you want to explicitly indicate that the variable represents a DataFrame, you can include df in the variable name, as shown in this example (people_df).

Task

Swipe to start coding

You are given a dictionary named animals_data.

Create a DataFrame named animals using this dictionary.

Solution

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

Everything was clear?

Thanks for your feedback!

DataFrame

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DataFrame

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DataFrame

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