New column in pandas df based on array

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Say I have a df like the one below.

    num value
0   1   229
1   2   203
2   3   244
3   4   243
4   5   230

And an array: array([ 2, 4]).

I would like to create a new column for binary variable, such that it is 1 when num is equal to the value in the array and 0 otherwise.

    num value binary
0   1   229   0
1   2   203   1
2   3   244   0
3   4   243   1
4   5   230   0

Wanted to use: df["binary"] = np.where(df["num"] == dtemp.num.unique(), 1, 0), where dtemp.num.unique() is the aforementioned array. But since the lengths of df and array are different - I get the "Lengths must match to compare" error.



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