I am trying to create a pandas dataframe from an ordereddict to preserve the order of the values. But for some reason after creating the dataframe the fields are messed up again.
Here's the list of ordereddicts:
[OrderedDict([ ('key_a', 'value_a'), ('key_b', 'value_b'), ]), OrderedDict([ ('key_a', 'value_c'), ('key_b', 'value_d'), ]) ]
Now how should I create a pandas DataFrame from these? What I am looking for is something like that (the important thing is the key_a and key_b etc column name order):
key_a key_b 0 value_a value_b 1 value_c value_d
I have tried:
pd.DataFrame.from_records(orderedDictList) pd.DataFrame.from_dict(orderedDictList)
Feel free to ask any additional questions.
To create a dataframe, we need to import pandas. Dataframe can be created using dataframe() function. The dataframe() takes one or two parameters. The first one is the data which is to be filled in the dataframe table.
You can convert a dictionary to Pandas Dataframe using df = pd. DataFrame. from_dict(my_dict) statement.
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.
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