How to run the optimizer with decimal point values

[camcoding]

I need to run the optimizer with decimal point values. If I use the numpy.arrange function, this library throws an error.

stats = bt.optimize( stop_loss_offset = np.arange(0.01, 0.10, 0.01), maximize='Return [%]')

Error thrown: TypeError: unhashable type: 'numpy.ndarray'
File "pandas/_libs/hashtable_class_helper.pxi", line 5943, in pandas._libs.hashtable.PyObjectHashTable.factorize
File "pandas/_libs/hashtable_class_helper.pxi", line 5857, in pandas._libs.hashtable.PyObjectHashTable._unique

[kernc]

I think this might be a bug, and 1d arrays should be supported.

In your case, the workaround consists of calling .tolist() method:

stats = bt.optimize(stop_loss_offset=np.arange(0.01, 0.10, 0.01).tolist())