Page 450 - AI Ver 3.0 class 10_Flipbook
P. 450
Some Important Functions
Type Function Example
Type of an object type(ARR)
[1]: import numpy as np
i.e. array
ARR = np.array([1,2,3,4])
print(type(ARR))
<class 'numpy.ndarray'>
Check the ARR.ndim
[1]: import numpy as np
dimensions of
ARR = np.array([[1,2,3,4],[3,4,5,6]])
an array
print(ARR.ndim)
2
Shape of an array ARR.shape
[1]: import numpy as np
i.e. length of the
ARR = np.array([[1,2,3,4],[3,4,5,6]])
array dimensions
print(ARR.shape)
(2, 4)
Size of an array ARR.size
[1]: import numpy as np
i.e. counts the
ARR = np.array([[1,2,3,4],[3,4,5,6]])
number of print(ARR.size)
elements
8
Datatype of ARR.dtype
[1]: import numpy as np
elements stored
ARR = np.array([[1,2,3,4],[3,4,5,6]])
in the array
print(ARR.dtype)
int32
Maximum value ARR.max()
[1]: import numpy as np
in the element
ARR = np.array([[10,34,45,23,12]])
of the array
print(ARR.max())
45
Row wise & ARR.
column wise max(axis=1) [1]: import numpy as np
maximum value for row ARR = np.array([[11,2,13,4],[3,4,5,6]])
print("Rowwise max :",ARR.max(axis=1))
print("Column wise max :",ARR.max(axis=0))
ARR. Rowwise max : [13 6]
max(axis=0) Column wise max : [11 4 13 6]
for column
448 Touchpad Artificial Intelligence (Ver. 3.0)-X

