Home/ Questions/Why do I get the trouble with “cannot cast array data from dtype('float64') to dtype('<u32') according to the rule 'safe'”?
Next
Answered
Aaliyah Tremblay
  • 13
Asked: 2022-05-18T21:06:39+00:00 In:

Why do I get the trouble with “cannot cast array data from dtype(‘float64’) to dtype(‘<u32’) according to the rule ‘safe’”?

  • 13

. Advertisement .

..3..

. Advertisement .

..4..

The error

TypeError: Cannot cast array data from dtype('float64') 
  to dtype('S32') according to the rule 'safe'

occurred when I use np.dot(a,b.T) in NumPy version 1.11.0. I’ve tried to fix it for some days but have not resolved it yet. Can someone suggest a relevant solution to fix the cannot cast array data from dtype(‘float64’) to dtype(‘<u32’) according to the rule ‘safe’ issue? Much appreciate your support.

cannot cast array data from dtype('float64') to dtype('<u32')
Share

2 Answers

  1. Best Answer
    Expert

    The cause:

    You get trouble with ”cannot cast array data from dtype(‘float64’) to dtype(‘<u32’) according to the rule ‘safe’” error because the data of dtype(‘float64’) is strings but dtype(‘<u32’) requires float.

    Solution:

    You can solve this problem by changing your strings to floats, the following code snippet works well based on the input from BrenBarn and Warren Weckesser:

    a = map(lambda x: float(x),a)
b = map(lambda x: float(x),b)
np.dot(a,b.T)

    Or you can do simply as below:

    a = map(float,a)
b = map(float,b)
np.dot(a,b.T)

    However, you should check  all the sorts of the array, probably one  of them includes floats as Warren Weckesser has already indicated.

    • 0

  2. You can convert whole numpy array to float example: 

    train = train.astype(float)
train_target = train_target.astype(float)
    • 8

Leave an answer

You must login to add an answer.

Need An Account,