Generate a pandas dataframe from ordereddict?

Following this answer, you need to explicitly specify your column order:

df = pd.DataFrame(orderedDictList, columns=orderedDictList.keys())

Of course, first you need to ensure that you have an ordered dictionary.

You can do something like this using Counter from collections module:

from collections import OrderedDict, Counter
import pandas as pd

a = {'key_a': 'value_a', 'key_b':'value_b'}
b = {'key_a': 'value_c', 'key_b':'value_d'}

ord_list = [OrderedDict(a), OrderedDict(b)]

col = Counter()
for k in ord_list:
    col.update(k)


df = pd.DataFrame([k.values() for k in ord_list], columns = col.keys())

print(df)

Output:

     key_b    key_a
0  value_b  value_a
1  value_d  value_c