Edit Question - KnowledgeHub

Title Body

This gives me an error: import numpy as np x = np.array([[1, 'O', 1]], dtype=np.dtype([('step', 'int32'), ('symbol', '|S1'), ('index', 'int32')])) TypeError: expected a readable buffer object I don't know why this should fail? Alternatlively, how can I force something like this statement to work? x = np.array([[1, 'O', 1]]) then x.dtype = np.dtype([('step', 'int32'),('symbol', '|S1'),('index', 'int32')]) or x.view(dtype=np.dtype([('step', 'int32'),('symbol', '|S1'),('index', 'int32')])) both give me ValueError: new type not compatible with array. Edit If I try to enter each record as a tuple, it will think that the triple is a single value, rather than three separate fields? For instance: import numpy as np x = np.array([(1, 'O', 1)], dtype=np.dtype([('step', 'int32'), ('symbol', '|S1'), ('index', 'int32')])) seems fine until I do this: import numpy.lib.recfunctions as rec rec.append_fields(x,'x',x['index']+1) gives me TypeError: object of type 'numpy.int32' has no len() presumably because x.shape is (1,) rather than (1,3).

Tags (comma-separated) Cancel