How do I convert a pandas series which is multidimensional to pandas dataframe

Greeshma Agasthya

I am fairly new to python. Presently, I have a pandas series pds

pds.shape
#(1159,)

pds has an index which is not sequential and at each index there is a (18,100) array

pds[pds.index[1]].shape
#(18, 100)

How can I convert this to a pandas dataframe and/or a numpy array with dimensions (1159,18,100)?

pdf = pd.DataFrame(pds)

gives me a pandas with shape

pdf.shape
(1159, 1)
Pavel Komarov

Does this work: numpy.stack([pds[pds.index[i]] for i in range(1159)], axis=0)?

stack should put all your arrays together along the axis given.

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