TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe'

[sdsunjay]

Using OS X 10.12 and using Version: 1.15.0rc2 of numpy. I'm seeing this error:

  File "temp.py", line 103, in computeMACD
    emaslow = ExpMovingAverage(x, slow)
  File "temp.py", line 93, in ExpMovingAverage
    a =  np.convolve(values, weights, mode='full')[:len(values)]
  File "/Users/x/xx/graph/lib/python3.6/site-packages/numpy/core/numeric.py", line 1045, in convolve
    return multiarray.correlate(a, v[::-1], mode)
TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe'

I'm seeing this error when using this widely available code:

 def ExpMovingAverage(values, window):
     weights = np.exp(np.linspace(-1., 0., window))
     weights /= weights.sum()
     a =  np.convolve(values, weights, mode='full')[:len(values)]
     a[:window] = a[window]
     return a

My values are real stock prices, ['93.89', '89.89', '87.17', '90.57', '88.92', '90.46'...]. Window is 26. I'm not sure why so many people reference the above code that is not working for me. Any ideas what is wrong here?

[bashtage]

Your data are strings. They should be numbers.

 ['93.89', '89.89', '87.17', '90.57', '88.92', '90.46'...]

should be

 [93.89, 89.89, 87.17, 90.57, 88.92, 90.46]

This is verified using

v = ['93.89', '89.89', '87.17', '90.57', '88.92', '90.46']*30
ExpMovingAverage(v,10)

TypeError: Cannot cast array data from dtype('float64') to 
dtype('<U32') according to the rule 'safe'

and

ExpMovingAverage(list(map(float,v)),10)

array([89.6938941 , 89.6938941 , 89.6938941 , 89.6938941 ...

[sdsunjay]

Thank you. This fixed my issue