I am working with Python in Bigquery and have a large dataframe df (circa 7m rows). I also have a list lst that holds some dates (say all days in a given month).
I am trying to create an additional column "random_day" in df with a random value from lst in each row.
I tried running a loop and apply function but being quite a large dataset it is proving challenging.
My attempts passed by the loop solution:
df["rand_day"] = ""
for i in a["row_nr"]:
rand_day = sample(day_list,1)[0]
df.loc[i,"rand_day"] = rand_day
And the apply solution, defining first my function and then calling it:
def random_day():
rand_day = sample(day_list,1)[0]
return day
df["rand_day"] = df.apply(lambda row: random_day())
Any tips on this? Thank you
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