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The flat dictionary solution in 3rd party category for The Flat Dictionary by chrysikaragiannaki
import pandas as pd
import ast
def flatten(dictionairy):
str1 = str(dictionairy)
str2 = str1.replace('{}', "''")
dd = ast.literal_eval(str2)
df = pd.json_normalize(dd, sep='/')
y = (df.to_dict(orient='records')[0])
return y
if __name__ == '__main__':
test_input = {"key": {"deeper": {"more": {"enough": "value"}}}}
print(' Input: {}'.format(test_input))
print('Output: {}'.format(flatten(test_input)))
#These "asserts" using only for self-checking and not necessary for auto-testing
assert flatten({"key": "value"}) == {"key": "value"}, "Simple"
assert flatten(
{"key": {"deeper": {"more": {"enough": "value"}}}}
) == {"key/deeper/more/enough": "value"}, "Nested"
assert flatten({"empty": {}}) == {"empty": ""}, "Empty value"
assert flatten({"name": {
"first": "One",
"last": "Drone"},
"job": "scout",
"recent": {},
"additional": {
"place": {
"zone": "1",
"cell": "2"}}}
) == {"name/first": "One",
"name/last": "Drone",
"job": "scout",
"recent": "",
"additional/place/zone": "1",
"additional/place/cell": "2"}
print('You all set. Click "Check" now!')
Dec. 13, 2020
