Creating dataframe from a dictionary where entries have different lengths

Question

Say I have a dictionary with 10 key-value pairs. Each entry holds a numpy array. However, the length of the array is not the same for all of them.

How can I create a

Answer 1

You can also use pd.concat along axis=1 with a list of pd.Series objects:

import pandas as pd, numpy as np

d = {'A': np.array([1,2]), 'B': np.array([1,2,3,4])}

res = pd.concat([pd.Series(v, name=k) for k, v in d.items()], axis=1)

print(res)

     A  B
0  1.0  1
1  2.0  2
2  NaN  3
3  NaN  4