Column Order in Pandas Dataframe from dict of dict

Question

I am creating a pandas dataframe from a dictionary of dict in the following way :

df = pd.DataFrame.from_dict(stats).transpose()

I want the columns in a particular order but cant seem to figure out how to do so. I have tried this:

df = pd.DataFrame(columns=['c1','c2','c3']).from_dict(stats).transpose() 

but the final output is always c3, c2, c1 . Any ideas ?

Answer 1

You could do:

df = pd.DataFrame.from_dict(stats).transpose().loc[:, ['c1','c2','c3']]

or just

df = pd.DataFrame.from_dict(stats).transpose()[['c1','c2','c3']]

Answer 2

If you know the order, you can manually adjust as follows:

df = df[['c1','c3','c2']]

You can also do it by just creating a list of column names

disiredOrder = ['c1','c3','c2']
df = df[disiredOrder]