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I have a list of four strings. Then in a Pandas dataframe I want to create a variable randomly selecting a value from this list and assign into each row. I am using numpy's random choice, but reading their documentation, there is no seed option. How can I specify the random seed to the random assignment so every time the random assignment will be the same?
service_code_options = ['899.59O', '12.42R', '13.59P', '204.68L']
df['SERVICE_CODE'] = [np.random.choice(service_code_options ) for i in df.index]
690
The random module uses the seed value as a base to generate a random number. Use a random. seed() function with other random module functions to reproduce their output again and again.
Definition and UsageThe seed() method is used to initialize the random number generator. The random number generator needs a number to start with (a seed value), to be able to generate a random number. By default the random number generator uses the current system time.
NumPy random seed is simply a function that sets the random seed of the NumPy pseudo-random number generator. It provides an essential input that enables NumPy to generate pseudo-random numbers for random processes.
You need define it before by numpy.random.seed, also list comprehension is not necessary, because is possible use numpy.random.choice with parameter size:
np.random.seed(123)
df = pd.DataFrame({'a':range(10)})
service_code_options = ['899.59O', '12.42R', '13.59P', '204.68L']
df['SERVICE_CODE'] = np.random.choice(service_code_options, size=len(df))
print (df)
a SERVICE_CODE
0 0 13.59P
1 1 12.42R
2 2 13.59P
3 3 13.59P
4 4 899.59O
5 5 13.59P
6 6 13.59P
7 7 12.42R
8 8 204.68L
9 9 13.59P
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