I have a list like this: ['{"a":0,"b":1,"c":2},{"a":1,"b":2,"c":3},{"a":1,"b":2,"c":3}']
It only has one item on the list. I would like to extract each dictionary and put them into one Dataframe.
use loads from the json module to make this a real list of dictionaries. then just pass it to DataFrame():
from json import loads
from pandas import DataFrame
weird_list = ['{"a":0,"b":1,"c":2},{"a":1,"b":2,"c":3},{"a":1,"b":2,"c":3}']
real_list = loads(f"[{weird_list[0]}]")
then either pass the whole list to DataFrame if you want them in one place
three_dct_df = DataFrame(real_list)
three_dct_df
a b c
0 0 1 2
1 1 2 3
2 1 2 3
or loop over it creating individual DataFrames. But if using scalar values you have to pass an index so..
for lst in real_lst:
print(DataFrame(lst, index= [0]))
a b c
0 0 1 2
a b c
0 1 2 3
a b c
0 1 2 3
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.