logarithmic operation on numpy array-CodePudding

I have a NumPy array as shown below.

array(['0.0189', '0.0200', '0.0212', '0.0225', '0.0239', '0.0253',
       '0.0268', '0.0284', '0.0302', '0.0320', '0.0339', '0.0360',
       '0.0381', '0.0405', '0.0429', '0.0455', '0.0482', '0.0512',
       '0.0542', '0.0575', '0.0610', '0.0647', '0.0686', '0.0728',
       '0.0772', '0.0818', '0.0868', '0.0920', '0.0976', '0.1035',
       '0.1097', '0.1164', '0.1234', '0.1309', '0.1388', '0.1472',
       '0.1560', '0.1655', '0.1755', '0.1861', '0.1973', '0.2093',
       '0.2219', '0.2353', '0.2496', '0.2647', '0.2807', '0.2976',
       '0.3156', '0.3347', '0.3549', '0.3764', '0.3991', '0.4233',
       '0.4489'], dtype=object)

The array name is result.I need to do logrithmic operation on this array.Below is my code.

20*(np.log10(float(result)/1.44))

When running this code, I obtained an error as shown below.

TypeError                                 Traceback (most recent call last)
Input In [7], in <cell line: 1>()
----> 1 20*(np.log10(float(result)/1.44))

TypeError: only size-1 arrays can be converted to Python scalars

can someone help me to solve this issue.

CodePudding user response：

You cannot convert this array to array of floats using float, you need to use astype method. Here is example use:

result.astype(np.float64)