I have a Dataframe column which is a collection of lists
a
['a', 'b']
['b', 'a']
['a', 'c']
['c', 'a']
I would like to use this list to group by its unique values (['a', 'b'] & ['a', 'c']). However, this generates an error
TypeError: unhashable type: 'list'
Is there any way around this. Ideally I would like to sort the values in place and create an additional column of a concatenated string.
You can also sort values by column.
Example:
x = [['a', 'b'], ['b', 'a'], ['a', 'c'], ['c', 'a']]
df = pandas.DataFrame({'a': Series(x)})
df.a.sort_values()
a
0 [a, b]
2 [a, c]
1 [b, a]
3 [c, a]
However, for what I understand, you want to sort [b, a] to [a, b], and [c, a] to [a, c] and then set values in order to get only [a, b][a, c].
i'd recommend use lambda
Try:
result = df.a.sort_values().apply(lambda x: sorted(x))
result = DataFrame(result).reset_index(drop=True)
It returns:
0 [a, b]
1 [a, c]
2 [a, b]
3 [a, c]
Then get unique values:
newdf = pandas.DataFrame({'a': Series(list(set(result['a'].apply(tuple))))})
newdf.sort_values(by='a')
a
0 (a, b)
1 (a, c)
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