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.


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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.

Task

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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.

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Section 3. Chapter 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.

Task

Swipe to show code editor

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 3. Chapter 4

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