How to create dataframe from dictionary having list of dictionaries?

Question

I have a dictionary:

adict = {'dic1': [{'a': True, 'b': False, 'c': True, 'd': True, 'z': False}],
         'dic2': [{'e': True, 'f': False, 'g': False}]}

How can I create dataframe in this format?

	True	False
dic1	a	b
	c	z
	d
dic2	e	f
		g

Asked By: user12252991

||

Source

Answer 1

Try this:

(pd.DataFrame({i:j[0] for i,j in adict.items()})
.stack()
.to_frame().rename_axis(['d',None])
.assign(cc = lambda x: x.groupby([pd.Grouper(level=1),0]).cumcount())
.reset_index(level=0)
.set_index([0,'cc'],append=True)['d']
.unstack(level=1)
.droplevel(1)
.sort_index(axis=1,ascending=False))

or

d2 = {True:[],False:[]}

for k,v in d.items():
    for k2,v2 in v[0].items():
        d2.get(v2).append((k,k2))

(v := pd.DataFrame(d2).stack()).to_frame('s').set_index(v.str[0],append=True)['s'].str[-1].unstack(level=1).reset_index(level=0,drop=True)

Output:

0    True False
dic1    a     b
dic1    c     z
dic1    d   NaN
dic2    e     f
dic2  NaN     g

Answered By: rhug123

How to create dataframe from dictionary having list of dictionaries?

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