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Python | Numpy matrix.astype()

  • Last Updated : 10 Apr, 2019

With the help of Numpy matrix.astype() method, we are able to convert the type of matrix but the problem is data loss if we want to convert float to int then some of the data will loss. This method helps in type conversion of a matrix.

Syntax : matrix.astype()

Return : Return the matrix after type conversion.

Example #1 :
In this example we can see that how we convert the floating type matrix to int type matrix using matrix.astype() method.




# import the important module in python
import numpy as np
            
# make a matrix with numpy
gfg = np.matrix('[1.2, 2.8, 3.1, 4.5]')
            
# applying matrix.astype() method
geeks = gfg.astype(int)
      
print(geeks)
Output:
[[1 2 3 4]]

Example #2 :




# import the important module in python
import numpy as np
            
# make a matrix with numpy
gfg = np.matrix('[1.1, 2, 3.5; 4.2, 5.5, 6; 7, 8, 9.3]')
            
# applying matrix.astype() method
geeks = gfg.astype(int)
      
print(geeks)
Output:
[[1 2 3]
 [4 5 6]
 [7 8 9]]
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