29 мар. 2017 г. · The formula of the gemetric mean is: geometrical mean. So you can easily write an algorithm like: import numpy as np def geo_mean(iterable): ...

4 июл. 2024 г. · Rolling arithmetic mean can simply be computed with Numpy's 'convolve' function, but how could I efficiently create an array of running geometric means of some ...

1 февр. 2022 г. · I want to calculate the geomean of some large numbers. Problem is that the result of the product of large numbers is overflow.

14 дек. 2017 г. · Geometric means with negative numbers are not well-defined. There are several workarounds available which depend on your application.

5 июн. 2022 г. · The data comes from Refinitiv print(stats.gmean(df4.loc[:,'Price Close'])) I am trying to calculate the geometric mean from this data. However, I get the ...

10 апр. 2020 г. · I want to calculate the geometric mean of each column but some have zeros in the column as those businesses materialized on the stock market at different times.

24 февр. 2017 г. · I would like to to add a 4th column called 'Gmean' that calculate the geometric mean of the first 3 columns on each row. How can get it done ?

5 июн. 2019 г. · The geometric mean is the nth root of the product of the series. That means it is also exp(mean of logs of values), like so using numpy.

1 мая 2017 г. · Trying to create a function that will solve for the cumulative geometric mean for a vector or for columns of an array.

25 сент. 2023 г. · You can keep track of the logarithmic sum and the number count in order to compute the geometric mean as the arithmetic mean in logscale.