Convert pandas series of dictionary to numbers

Question

The following series contains a string of dictionaries of key values. Split the list into columns a and column b in such a way that column a and column b will be 0 if the list is empty else, 1.

Input:

list = ["{'a': [], 'b': []}",
        "{'a': [{'c':3,'d':56}], 'b': []}",
        "{'a': [], 'b': [{'c':45,'d':67}]}",
        "{'a': [{'c':48,'d':676}], 'b': [{'c':29,'d':90}]}" ]
df = pd.DataFrame(data=list,columns=['A'])

Output:

a	b
0	0
1	0
0	1
1	1

Asked By: Swetha

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Source

Answer 1

Similar solution like @Andrej Kesely answer – only removed converting to lists and double DataFrame.astype:

df = pd.DataFrame(df.A.tolist()).astype(bool).astype(int)
print (df)
   a  b
0  0  0
1  1  0
2  0  1
3  1  1

Answered By: jezrael

Answer 2

Another version:

from ast import literal_eval

lst = [
    "{'a': [], 'b': []}",
    "{'a': [{'c':3,'d':56}], 'b': []}",
    "{'a': [], 'b': [{'c':45,'d':67}]}",
    "{'a': [{'c':48,'d':676}], 'b': [{'c':29,'d':90}]}",
]


df = pd.DataFrame(literal_eval(v) for v in lst)
df = df.applymap(bool).astype(int)

print(df)

Prints:

Answered By: Andrej Kesely

Convert pandas series of dictionary to numbers

Question:

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