Page 191 - Robotics and AI class 10
P. 191
Datatype of ARR.dtype import numpy as np int64
elements stored in ARR =
the array np.array([[1,2,3,4],
[3,4,5,6]])
print(ARR.dtype)
Maximum value in ARR.max() import numpy as np 45
the element of the ARR =
array np.array([[10,34,45,
23,12]])
print(ARR.max())
Row wise & ARR.max(axis=1) import numpy as np Rowwise max : [13 6]
column wise for row ARR = Column wise max : [11
maximum value ARR.max(axis=0) np.array([[11,2,13,4], 4 13 6]
for column [3,4,5,6]])
print("Rowwise max :",
ARR.max(axis=1))
print("Column wise max :",
ARR.max(axis=0))
Row wise & ARR.min(axis=1) import numpy as np Rowwise min : [2 3]
column wise for row ARR = Column wise min : [3
minimum value ARR.min(axis=0) np.array([[11,2,13,4], 2 5 4]
for column [3,4,5,6]])
print("Rowwise min :",
ARR.min(axis=1))
print("Column wise min :",
ARR.min(axis=0))
Sum of all values ARR.sum() import numpy as np Rowwise sum : [30 18]
in the given array ARR = Column wise sum : [14
np.array([[11,2,13,4], 6 18 10]
[3,4,5,6]]) sum is : 48
print("Row Wise sum :",
ARR.sum(axis=1))
print("Column wise sum :",
ARR.sum(axis=0))
print("sum is :",
ARR.sum())
Introduction to Data and Programming with Python 189

