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I have a list that I want to calculate the average(mean?) of the values for her. When I do this:
import numpy as np #in the beginning of the code
goodPix = ['96.7958', '97.4333', '96.7938', '96.2792', '97.2292']
PixAvg = np.mean(goodPix)
I'm getting this error code:
ret = um.add.reduce(arr, axis=axis, dtype=dtype, out=out, keepdims=keepdims)
TypeError: cannot perform reduce with flexible type
I tried to find some help but didn't find something that was helpful
Thank you all.
523
Using Python's mean() mean() function takes a sample of numeric data (any iterable) and returns its mean. We just need to import the statistics module and then call mean() with our sample as an argument. That will return the mean of the sample. This is a quick way of finding the mean using Python.
We define a list of numbers and calculate the length of the list. We then use sum() function to get sum of all the elements in a list. We finally divide the total sum by the number of elements in the list and we print the result to get the mean/average of a list.
Using Python sum() function Python statistics. sum() function can also be used to find the average of data values in Python list. The statistics. len() function is used to calculate the length of the list i.e. the count of data items present in the list.
Convert you list from strings to np.float:
>>> gp = np.array(goodPix, np.float)
>>> np.mean(gp)
96.906260000000003
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