DATA MUNGING
PYTHON MATRIX

In [1]:

```
## How to MULTIPLY numerical value to each electment of a matrix
def Kickstarter_Example_17():
print()
print(format('How to multiply something to each electment of a matrix',
'*^72'))
# Load library
import numpy as np
# Create two vectors
matrixA = np.array([[2, 3, 23],
[5, 6, 25],
[8, 9, 28]])
# Create a function that multipies 100 to something
multiply_100 = lambda i: i * 100
# Create a vectorized function
vectorized_multiply_100 = np.vectorize(multiply_100)
# Apply function to all elements in matrix
print(); print(vectorized_multiply_100(matrixA))
Kickstarter_Example_17()
```

Stuck at work?

Can't find the recipe you are looking for. Let us know and we will find an expert to create the recipe for you.
Click here

Companies using this Recipe

1
developer from
KPMG

1
developer from
YASH Technologies

1
developer from
Altimetrik

1
developer from
LTI

1
developer from
ANAC

1
developer from
MudraCircle

1
developer from
HvH

1
developer from
Vodafone