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
¿Todo estuvo claro?
¡Gracias por tus comentarios!
Sección 5. Capítulo 6
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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
¿Todo estuvo claro?
¡Gracias por tus comentarios!
Sección 5. Capítulo 6
