I'm working on dataframes with PANDAS in Python. I read a csv file with pandas.read_csv(...). In this csv file the column 'possible_stops' contains lists (each cells in this column looks like : [ ] or [str0,str1]).
I want to iterate over the rows with itertuples() and for each row i want to access the list inside 'possible_stops' column.
However, the dtype of this column is object and when i look for the type of a specific cell (type(row.possible_stops)) it returns str. I think there is something to do with dtype = .. inside the read_csv method but i don't exactly know what to do.
How can i convert cells inside this column into lists ?
Thanks very much!
EDIT : the resulting df looks like :
latitude longitude gps_speed possible_stops
1.05869 1574942547 0.0 [['Bapeaume', 2]]
1.05862 1573910439 0.0 [['Bapeaume', 2]]
1.05862 1573910441 0.0 [['Bapeaume', 2]]
1.05862 1573910443 0.0 [['Bapeaume', 2]]
1.05862 1573910445 0.0 [['Bapeaume', 2]]
1.05862 1573910447 0.0 [['Bapeaume', 2]]
objectis not strictly a dtype (see this answer). Can you supply an example of your data? I think it should be possible to access the lists inside the column