How to get the first column of an 1D array that has many sets/dictionaries in each row

Question

I have from pymoo:

variables=all_pop.get("X")

and it gets an output an nd.array that looks like that:

{'x0': 21, 'x1': 52, 'x2': 7}
{'x0': 85, 'x1': 18, 'x2': 4}
{'x0': 15, 'x1': 30, 'x2': 6}
{'x0': 22, 'x1': 58, 'x2': 7}

When I tried to take the first element of each column using

variables = pd.DataFrame(np.array(list(all_pop.get("X")[:,0])))

I had an error that said "IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed".

How to create a pandas data frame that will print to excel like that?

x0	x1	x2
21	52	7
85	18	4
15	30	6
22	58	7