Issue
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.
Solution
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)
Answered By - maciek97x
0 comments:
Post a Comment
Note: Only a member of this blog may post a comment.