I have
dict = {0 : 'red', 1 : 'blue', 2 : 'green'}
label = np.ndarray([0,0,0,1,1,1,2,2,2])
As I want to get value corresponding to key by using label, I called
dict[label]
But I got
TypeError: unhashable type: 'numpy.ndarray'
How can I solve it?
Unfortunately it's not quite as easy as that, but there are simple alternatives.
you can either have your "dict" (you shouldn't use reserved names) as an array as well:
my_dict = np.array(['red', 'blue', 'green'])
label = np.array([0,0,0,1,1,1,2,2,2])
my_dict[[label]]
or you can use a comprehension:
[dict[item] for item in label]
Did you mean this?
dict = {0 : 'red', 1 : 'blue', 2 : 'green'}
label = np.array([0,0,0,1,1,1,2,2,2])
for l in label:
print(dict[l])
The output from this is: red red red blue blue blue green green green
You can use map. You need to iterate over label and take the corresponding value from the dictionary.
Note:
dict as a variable name in pythonnp.array() not np.ndarrayd = {0 : 'red', 1 : 'blue', 2 : 'green'}
label = np.array([0,0,0,1,1,1,2,2,2])
output = list(map(lambda x: d[x], label))
output
['red', 'red', 'red', 'blue', 'blue', 'blue', 'green', 'green', 'green']
dictas variable name in python