How can I convert this dictionary into a Pandas dataframe?

Question

I have a dictionary that looks like this:

{'NorthernRegion': {'date': '2021-12-31',
'state': PA,
'candySales': 500,
'grocerySales': 1500,
'electronicSales': 800,
...
   },
{'date': '2021-12-30',
 ...
   },
{'date': '2021-12-29',
 ...
   },
...
}

It is a nested dictionary. I want the nested dictionary to make up a Pandas data frame. For example, each row would be a date, and the other categories would make up the columns. What is the best way to go about this? I don't seem to be making any quality progress.

The data frame would look like

Date       State     Candy Sales   Grocery Sales  ...
-------------------------------------------------------
2021-12-31  PA       500           1500           ...
2021-12-30  PA       600           1600           ...
...

Answer 1

Each dictionary item needs a key and value, so assuming the complete structure of your dictionary looks something like the following:

sample_dict = {'NorthernRegion': {'date': '2021-12-31',
'state': 'PA',
'candySales': 500,
'grocerySales': 1500,
'electronicSales': 800},
'SouthernRegion':{'date': '2021-12-31',
'state': 'PA',
'candySales': 500,
'grocerySales': 1500,
'electronicSales': 800}}

To get the inner dictionaries as columns as the outer keys as index values, you can try pd.DataFrame(sample_dict).T which will result in the following DataFrame:

                      date state candySales grocerySales electronicSales
NorthernRegion  2021-12-31    PA        500         1500             800
SouthernRegion  2021-12-31    PA        500         1500             800