numpy.max() in Python | np.max() in Python
Numpy max() function is used to get a maximum value along a specified axis.
Syntax of Numpy.max()
np.max(a, axis=None)
a parameter refers to the array on which you want to apply np.max() function.
axis parameter is optional and helps us to specify the axis on which we want to find the maximum values.
Python program to find maximum value on 1-Dimensional Numpy Array
import numpy as np
a = np.array([50, 15, 23, 89, 64])
print('Maximum value in arr: ', np.max(a))
Output of the above program
Maximum value in arr: 89
In 1-Dimensional, it is optional to pass axis parameter to np.max() function.
Python program to find maximum value on 2-Dimensional Numpy Array
import numpy as np
a = np.array([[50, 15, 89, 23, 64],
[45, 98, 25, 17, 55],
[35, 37, 9, 100, 61]])
print('Maximum value in arr: ', np.max(a))
print('Maximum value in arr along axis 0: ', np.max(a, axis=0))
print('Maximum value in arr along axis 1: ', np.max(a, axis=1))
Output of the above program
Maximum value in arr: 100 Maximum value in arr along axis 0: [ 50 98 89 100 64] Maximum value in arr along axis 1: [ 89 98 100]
When axis value is not passed to max() function, then it returns the maximum element present in the array-
When axis=0 is passed to max() function, then it works like this-
When axis=1 is passed to max() function, then it works like this-
Recommended Posts
- How to use NumPy sum() in Python?
- How to use NumPy min() in Python?
- How to use NumPy mean() in Python?
- How to use NumPy average() in Python?
- How to use NumPy sort() in Python?
- How to use NumPy matrix() in Python?
- How to use NumPy transpose() in Python?
- How to use NumPy dot() in Python?
