Matching random seed in R for code coming from Python

Asked Mar 11 '22 at 07:43

Active Mar 11 '22 at 07:43

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I am given some python codes which depends on random numbers. This python code use a random_seed = 300.

Now I am trying to replicate this Python code in R. To make sure that the replication is perfect, I need to compare the end results between R and Python. Given that, the code depends on the random numbers, is there any way to know the equivalent random seed to be used in R?

I had a look into Creating same random number sequence in Python, NumPy and R, but it appears to be opposite way implementation i.e. from R to Python.

There is also a R library called reticulate where I could run python code in R, but could not figure out if I could fetch the R-equivalent random seed using this library

Any pointer will be very helpful.

Many thanks,

asked Mar 11 '22 at 07:43

Brian Smith

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Can you post the Python code? – norie Mar 11 '22 at 07:47
Unfortunately I cant as the code is proprietary – Brian Smith Mar 11 '22 at 07:53
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It's not only about having the same seed in python and R but also using the exact same random number generator algorithm. It's very likely that random numbers are generated differently in Python and R. – danlooo Mar 11 '22 at 08:16

Matching random seed in R for code coming from Python

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