sum() and count()

Pandas offers the count() method, which counts all non-null cells (neither None nor np.NaN) for each column. Consider the following example:

To find the count of non-null values in a specific column, use:

Pandas also provides the sum() method. This function calculates the sum of values for each column, but it only works with numeric columns. Check out the following example:

To find the sum of values in a particular column:

Task

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Given the dataframe audi_cars:

Determine the count of non-null cells in each column.
Compute the total price (using the price column) for all cars in the DataFrame.

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Section 3. Chapter 15

sum() and count()

Pandas offers the count() method, which counts all non-null cells (neither None nor np.NaN) for each column. Consider the following example:

To find the count of non-null values in a specific column, use:

Pandas also provides the sum() method. This function calculates the sum of values for each column, but it only works with numeric columns. Check out the following example:

To find the sum of values in a particular column:

Task

Swipe to show code editor

Given the dataframe audi_cars:

Determine the count of non-null cells in each column.
Compute the total price (using the price column) for all cars in the DataFrame.

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 15

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