panda dataframe to ordered dictionary

Question

There is a post in which a panda dataframe is converted in to a dictionary for further processing.

The code to do this is:

df = pd.read_excel(open(         


        

Answer 1

You can get the dictionary in the desired order by using an OrderedDict with keys from the Unique_id column. The following should serve as an illustration:

from collections import OrderedDict

# Get the unordered dictionary
unordered_dict = df.set_index('Unique_id').T.to_dict('list')

 # Then order it
ordered_dict = OrderedDict((k,unordered_dict.get(k)) for k in df.Unique_id)
# OrderedDict([(1, [3, 4, 43, 90]), (2, [54, 6, 43, 54])])

Thanks!