How to get a 2d DataFrame from 1d Series data

Question

How to get a 2d DataFrame from 1d Series data.

I have data x,

x=[1,2,3,....,99]

How can I get a 2d matrix DataFrame:

{[1,2,3,...,99],[1,2,3,...,99],[1,2,3,...,99]....[1,2,3,....,99]}

(the DataFrame is a 100 raws 50 columns matrix).

from pandas import DataFrame,Series
import numpy as np
x=Series(np.arange(1,100))

Answer 1

You can convert a list of lists directly into a dataframe.

from pandas import DataFrame

li =[list(range(10))]*5
df = DataFrame(li)
print (df)