我有三个要连接的数据框，但是它们都有不同的索引。所有三个索引具有相同的长度。我的第一个df如下所示：
Index Time_start Time_end duration value
0 5 10 5 1.0
1 10 16 6 NaN
...
39 50 53 3 NaN
第二个df如下所示：
Index Time_start Time_end duration value
40 5 10 5 2.0
42 10 16 6 NaN
...
79 50 53 3 NaN
第三个看起来完全相同，但是Index = [80..119]，但是time_start，Time_end和duration完全相同。价值各不相同。
我想连接值列，使它看起来像这样
Index Time_start Time_end duration value1 value2 value3
1 5 10 5 1.0 2 3
2 10 16 6 NaN NaN NaN
...
39 50 53 3 NaN NaN NaN
到目前为止，我已经尝试过
pd.concat([df1, df2.value, …I have a dictionary I want to update:
my_dict = {"a":"A", "b":"B"}
and a list with the exact same length:
my_list = ["D", "E"]
I would like to find the most efficient way to update my_dict with the values from my_list to:
{"a":"D", "b":"E"}
without having to run multiple for loops or similar. I tried to do this with list comprehensions, but it does not allow multiple statements:
{my_dict_key:list_item for my_dict_key in my_dict.keys(), list_item in my_list}