Aggregating in 2-D Arrays
All the aggregate functions learned in this section can be used along either columns, or rows. To do it, you need to specify the axis parameter within aggregate function.
For example, we can compute the sum of rows and columns elements separately.
1234567# Import the library import numpy as np # Creating array arr = np.array([[5.2, 3.0, 4.5], [9.1, 0.1, 0.3]]) # Sum of rows and columns elements print(arr.sum(axis = 0)) # columns print(arr.sum(axis = 1)) # rows
War alles klar?
Danke für Ihr Feedback!
Abschnitt 5. Kapitel 6
Fragen Sie AI
Fragen Sie AI
Fragen Sie alles oder probieren Sie eine der vorgeschlagenen Fragen, um unser Gespräch zu beginnen
Awesome!
Completion rate improved to 2.7Aggregating in 2-D Arrays
Swipe um das Menü anzuzeigen
All the aggregate functions learned in this section can be used along either columns, or rows. To do it, you need to specify the axis parameter within aggregate function.
For example, we can compute the sum of rows and columns elements separately.
1234567# Import the library import numpy as np # Creating array arr = np.array([[5.2, 3.0, 4.5], [9.1, 0.1, 0.3]]) # Sum of rows and columns elements print(arr.sum(axis = 0)) # columns print(arr.sum(axis = 1)) # rows
War alles klar?
Danke für Ihr Feedback!
Abschnitt 5. Kapitel 6
