Python 3.x 如何将字典中的键和值提取为数据帧中的单独列？

我有两个数据框，就像

df:
   building  level      site          mac_location  gw_mac_rssi
0  2b        2nd-floor  crystal-lawn  lab           {'ac233fc01403': -32.0, 'ac233fc015f6': -45.5, 'ac233fc02eaa': -82}
1  2b        2nd-floor  crystal-lawn  conference    {'ac233fc01403': -82, 'ac233fc015f6': -45.5, 'ac233fc02eaa': -82}  

我需要将“gw_mac_rssi”的键提取为“gw_mac”，将“gw_mac_rssi”的值提取为“rssi”，这应该是

required_df:
   building  level      site          mac_location  gw_mac                                            rssi   
0  2b        2nd-floor  crystal-lawn  lab           ['ac233fc01403','ac233fc015f6','ac233fc02eaa']    [-32.0,-45.5,-82]
1  2b        2nd-floor  crystal-lawn  conference    ['ac233fc01403','ac233fc015f6','ac233fc02eaa']    [-82, -45.5, -82]

我试过了

df['gw_mac'] = list(df['gw_mac_rssi'].keys())

而无法获取所需的数据框。

分别用于处理每个值：

df['gw_mac'] = df['gw_mac_rssi'].apply(lambda x: list(x.keys()))
df['rssi'] = df['gw_mac_rssi'].apply(lambda x: list(x.values()))

备选方案：

f = lambda x: pd.Series([list(x.keys()), list(x.values())])
df[['gw_mac','rssi']] = df['gw_mac_rssi'].apply(f)