Information on the Data

In pandas, there's a handy method named info() that provides basic information about a dataset. Let's explore how to use this method.


              12345
            
import pandas as pd
# It's a dataframe
frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/example.csv')
info = frame.info()
print(info)

This method displays the number of rows and columns in the dataframe, as well as each column's name and data type. For instance, our dataframe contains 20 rows and 5 columns.

To determine the size of our dataframe, we can use the len() function, as demonstrated in the example below.

Tarefa

We have a DataFrame labeled data_frame. You need to get more detailed information about this dataset, such as the types of data it contains, any missing values (and their count), and the memory usage.

Tarefa

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 3. Capítulo 4

Information on the Data

In pandas, there's a handy method named info() that provides basic information about a dataset. Let's explore how to use this method.


              12345
            
import pandas as pd
# It's a dataframe
frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/example.csv')
info = frame.info()
print(info)

This method displays the number of rows and columns in the dataframe, as well as each column's name and data type. For instance, our dataframe contains 20 rows and 5 columns.

To determine the size of our dataframe, we can use the len() function, as demonstrated in the example below.

Tarefa

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 3. Capítulo 4

Information on the Data

In pandas, there's a handy method named info() that provides basic information about a dataset. Let's explore how to use this method.


              12345
            
import pandas as pd
# It's a dataframe
frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/example.csv')
info = frame.info()
print(info)

This method displays the number of rows and columns in the dataframe, as well as each column's name and data type. For instance, our dataframe contains 20 rows and 5 columns.

To determine the size of our dataframe, we can use the len() function, as demonstrated in the example below.

Tarefa

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

In pandas, there's a handy method named info() that provides basic information about a dataset. Let's explore how to use this method.


              12345
            
import pandas as pd
# It's a dataframe
frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/example.csv')
info = frame.info()
print(info)

This method displays the number of rows and columns in the dataframe, as well as each column's name and data type. For instance, our dataframe contains 20 rows and 5 columns.

To determine the size of our dataframe, we can use the len() function, as demonstrated in the example below.

Tarefa

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Seção 3. Capítulo 4

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo