Conteúdo do Curso
Pandas First Steps
Pandas First Steps
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:
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
pricecolumn) for all cars in the DataFrame.
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoObrigado pelo seu feedback!
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:
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
pricecolumn) for all cars in the DataFrame.
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoObrigado pelo seu feedback!
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:
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
pricecolumn) for all cars in the DataFrame.
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoObrigado pelo seu feedback!
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:
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
pricecolumn) for all cars in the DataFrame.
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