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Pandas First Steps
Pandas First Steps
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.
import pandas as pd dataset = {'name' : ['Ann', 'Alex', 'Kevin', 'Kate'], 'age' : [35, 12, 24, 45]} data_frame = pd.DataFrame(dataset) print(data_frame)
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Let's craft an animal DataFrame using the dataset data and the pd.DataFrame() function. Give it a try!
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoObrigado pelo seu feedback!
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.
import pandas as pd dataset = {'name' : ['Ann', 'Alex', 'Kevin', 'Kate'], 'age' : [35, 12, 24, 45]} data_frame = pd.DataFrame(dataset) print(data_frame)
Swipe to show code editor
Let's craft an animal DataFrame using the dataset data and the pd.DataFrame() function. Give it a try!
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoObrigado pelo seu feedback!
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.
import pandas as pd dataset = {'name' : ['Ann', 'Alex', 'Kevin', 'Kate'], 'age' : [35, 12, 24, 45]} data_frame = pd.DataFrame(dataset) print(data_frame)
Swipe to show code editor
Let's craft an animal DataFrame using the dataset data and the pd.DataFrame() function. Give it a try!
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoObrigado pelo seu feedback!
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.
import pandas as pd dataset = {'name' : ['Ann', 'Alex', 'Kevin', 'Kate'], 'age' : [35, 12, 24, 45]} data_frame = pd.DataFrame(dataset) print(data_frame)
Swipe to show code editor
Let's craft an animal DataFrame using the dataset data and the pd.DataFrame() function. Give it a try!
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo