I have a dictionary like that:
{12: {'Soccer': {'value': 31, 'year': 2013}},
23: {'Volley': {'value': 24, 'year': 2012},'Yoga': {'value': 3, 'year': 2014}},
39: {'Baseball': {'value': 2, 'year': 2014},'basket': {'value': 4, 'year': 2012}}}
and i would like to have a dataframe like this:
index column
12 {'Soccer': {'value': 31, 'year': 2013}}
23 {'Volley': {'value': 24, 'year': 2012},'Yoga': {'value': 3, 'year': 2014}}
39 {'Baseball': {'value': 2, 'year': 2014},'basket': {'value': 4, 'year': 2012}}
with each nested dictionary set in a unique column, with the row given by the key of the external dictionary. When I use 'from_dict' with orient parameter equal to index, it considers that keys from the nested dictionaries are the labels of the columns and it makes a square dataframe instead of a single column... Thanks a lot
Use:
df = pd.DataFrame({'column':d})
Or:
df = pd.Series(d).to_frame('column')
print (df)
column
12 {'Soccer': {'year': 2013, 'value': 31}}
23 {'Volley': {'year': 2012, 'value': 24}, 'Yoga'...
39 {'Baseball': {'year': 2014, 'value': 2}, 'bask...
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