这是两个词典:
monkeydict = {'16:43': 1, '16:44': 1, '16:49': 3}
pigdict = {'16:41': 3, '16:44': 2, '16:51': 3}
这是所需的数据框:
time,monkeydict,pigdict
16:41,,3
16:43,1,
16:44,1,2
16:49,3,
16:51,,3
答案 0 :(得分:4)
pd.DataFrame({'monkeydict':pd.Series(monkeydict),'pigdict':pd.Series(pigdict)})
Out[879]:
monkeydict pigdict
16:41 NaN 3.0
16:43 1.0 NaN
16:44 1.0 2.0
16:49 3.0 NaN
16:51 NaN 3.0
或(请注意,您需要在创建数据框后重命名列)
pd.DataFrame([monkeydict,pigdict]).T
Out[887]:
0 1
16:41 NaN 3.0
16:43 1.0 NaN
16:44 1.0 2.0
16:49 3.0 NaN
16:51 NaN 3.0
答案 1 :(得分:3)
In [9]: (pd.Series(monkeydict).to_frame('monkey')
.join(pd.Series(pigdict).to_frame('pig'), how='outer'))
Out[9]:
monkey pig
16:41 NaN 3.0
16:43 1.0 NaN
16:44 1.0 2.0
16:49 3.0 NaN
16:51 NaN 3.0