Contenuti del Corso
Pandas First Steps
Pandas First Steps
sum() and count()
pandas offers the count() method, which counts all non-null cells (neither None nor NaN) for each column.
python
To find the count of non-null values in a specific column, use the following syntax:
python
pandas also provides the sum() method. This method calculates the sum of values for each column, but it only works with numeric or boolean columns.
python
Since the isna() method returns a boolean DataFrame, you can use the following syntax to calculate the number of missing values for each of the columns:
python
To find the sum of values in a particular column, use the following syntax:
python
Swipe to start coding
You are given a DataFrame named audi_cars.
- Get the count of non-null cells in each column and store the result in the
number_of_cellsvariable. - Compute the total price (using the
'price'column) for all cars in theDataFrameand store the result in thetotal_pricevariable. - Identify the number of missing values in each column and store the result in the
null_countvariable.
Soluzione
Cambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguentiGrazie per i tuoi commenti!
sum() and count()
pandas offers the count() method, which counts all non-null cells (neither None nor NaN) for each column.
python
To find the count of non-null values in a specific column, use the following syntax:
python
pandas also provides the sum() method. This method calculates the sum of values for each column, but it only works with numeric or boolean columns.
python
Since the isna() method returns a boolean DataFrame, you can use the following syntax to calculate the number of missing values for each of the columns:
python
To find the sum of values in a particular column, use the following syntax:
python
Swipe to start coding
You are given a DataFrame named audi_cars.
- Get the count of non-null cells in each column and store the result in the
number_of_cellsvariable. - Compute the total price (using the
'price'column) for all cars in theDataFrameand store the result in thetotal_pricevariable. - Identify the number of missing values in each column and store the result in the
null_countvariable.
Soluzione
Cambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguentiGrazie per i tuoi commenti!
Cambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti