Pandas dataframe from nested dictionary

Question

My dictionary looks like this:

{\'x\': {\'b\': 10, \'c\': 20}, \'y\': {\'b\': \'33\', \'c\': 44}}

I want to get a dataframe that looks like

Answer 1

first create the df using from_dict, then call stack and reset_index to get the shape you desire, you then need to rename the cols, sort and reset the index:

In [83]:
d={'x': {'b': 10, 'c': 20}, 'y': {'b': '33', 'c': 44}}
df = pd.DataFrame.from_dict(d, orient='index').stack().reset_index()
df.columns = ['col1', 'col2', 'val']
df.sort_values(['col1', 'col2'], inplace=True)
df.reset_index(drop=True, inplace=True)
df

Out[83]:
  col1 col2 val
0    x    b  10
1    x    c  20
2    y    b  33
3    y    c  44