26

I have a ndarray like this one:

In [75]:
z_r
Out[75]:
array([[ 0.00909254],
       [ 0.02390291],
       [ 0.02998752]])

In here, I want to ask how to convert those things to series, the desired output is like this:

0   0.00909254
1   0.02390291
2   0.02998752
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0

4 Answers 4

Reset to default
32

You can use this one:

my_list = map(lambda x: x[0], z_r)
ser = pd.Series(my_list)
In [86]:
ser
Out[86]:
0      0.009093
1      0.023903
2      0.029988

Actually, your question is how to convert to series ^^

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1 Comment

@ markov zain: I'd rename this to 'Ndarray of Ndarrays to Series' because it describes your data more accurately. If it is just an ndarray of values, it does not work. Ex: array([ 0.00909254, 0.02390291, 0.02998752]), does not work with this code.
13

pd.Series(my_ndarray)

no need to convert it first to a list then to series.

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1 Comment

that doesnt work as that data isn't 1-dimensional
5 
z_r.tolist()

                 

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4 Comments

just a quick note: this doesn't create a pandas series it converts the ndarray to a list: [[0.00909254], [0.02390291], [0.02998752]].
Just wrap it with pd.Series()
I found your method better and more readable. Is the accepted answer converting the array to 1d array and then convert it to series? Is map(lambda x: x[0], z_r) doing the same thing as tolist()? Thanks
@BowenLiu Try it.
0

Using list comprehension instead of map:

my_series = pd.Series([x[0] for x in z_r])
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