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Home/ Questions/Why do I get the trouble with “cannot cast array data from dtype('float64') to dtype('<u32') according to the rule 'safe'”?
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Aaliyah Tremblay
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Aaliyah Tremblay
Asked: May 18, 20222022-05-18T21:06:39+00:00 2022-05-18T21:06:39+00:00In: python

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

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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')
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    lyytutoria Expert
    2022-06-26T14:19:19+00:00Added an answer on June 26, 2022 at 2:19 pm

    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.

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  2. Gabriel Castel
    2022-05-25T21:14:02+00:00Added an answer on May 25, 2022 at 9:14 pm

    You can convert whole numpy array to float example:

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