如何将具有包含嵌套列表的数组值的字典转换为 Pandas 数据帧？

Question

I have a dictionary containing an array of nested lists, where each dictionary key references a unique array. It outputs like this:

{'pop.2.q': array([[11.07967784],
   [11.07967784],
   [11.07967785],
   ...,
   [11.16404993],
   [11.16404993],
   [11.16404993]]), 'pop.2.v': array([[0.00011533],
   [0.00011533],
   [0.00011533],
   ...,
   [0.00014513],
   [0.00014513],
   [0.00014513]]), 'propagator.1.phi': array([[0.],
   [0.],
   [0.],
   ...,
   [0.],
   [0.],

I'm trying to convert it into a pandas dataframe, where each dictionary key (ie. 'pop.2.q', 'pop.2.v', etc) is a column. Right now, my dataframe looks like this with the following code:

df = pd.DataFrame(data=[Res.data], index=Res.time)

current df output

Any help with how to unpack this and properly populate the df would be super appreciated - thanks!

Answer 1

Assuming all values in dictionary are lists with same number of (flattened) items, this should do the trick:

import numpy as np
import pandas as pd
df = pd.DataFrame(dict([(x,np.array(list(y)).flatten()) for x,y in d.items()]))

assuming d is your dictionary.