Reputation: 113
I have a dataframe that looks like
Total_Time_words Words
0 1.50 your
1 2.15 intention
2 2.75 is
3 3.40 dangerous
4 3.85 for
when I use this code:
new.set_index('Words').T.to_dict('records')
I get this output below:
[{'your': 1.5,
'intention': 2.15,
'is': 2.75,
'dangerous': 3.4,
'for': 3.85,
'my': 4.0,
'world': 4.3}]
But this is my expected output below:
[
{
1.50:"your"
},
{
2.15:"intention"
}
]
Upvotes: 1
Views: 51
Reputation: 13401
You can use list comprehension
with zip
as below:
new_dict = [{k:v} for k,v in zip(df["Total_Time_words"], df["words"])]
print(new_dict)
Upvotes: 1