Closed
Description
Code Sample, a copy-pastable example if possible
In [2]: a = pd.SparseArray([0, 10, 1])
In [3]: np.maximum.reduce(a)
Out[3]: ---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
~/Envs/pandas-dev/lib/python3.7/site-packages/IPython/core/formatters.py in __call__(self, obj)
700 type_pprinters=self.type_printers,
701 deferred_pprinters=self.deferred_printers)
--> 702 printer.pretty(obj)
703 printer.flush()
704 return stream.getvalue()
~/Envs/pandas-dev/lib/python3.7/site-packages/IPython/lib/pretty.py in pretty(self, obj)
400 if cls is not object \
401 and callable(cls.__dict__.get('__repr__')):
--> 402 return _repr_pprint(obj, self, cycle)
403
404 return _default_pprint(obj, self, cycle)
~/Envs/pandas-dev/lib/python3.7/site-packages/IPython/lib/pretty.py in _repr_pprint(obj, p, cycle)
695 """A pprint that just redirects to the normal repr function."""
696 # Find newlines and replace them with p.break_()
--> 697 output = repr(obj)
698 for idx,output_line in enumerate(output.splitlines()):
699 if idx:
~/sandbox/pandas/pandas/core/arrays/sparse.py in __repr__(self)
1815 def __repr__(self):
1816 return '{self}\nFill: {fill}\n{index}'.format(
-> 1817 self=printing.pprint_thing(self),
1818 fill=printing.pprint_thing(self.fill_value),
1819 index=printing.pprint_thing(self.sp_index))
~/sandbox/pandas/pandas/io/formats/printing.py in pprint_thing(thing, _nest_lvl, escape_chars, default_escapes, quote_strings, max_seq_items)
215 result = _pprint_seq(thing, _nest_lvl, escape_chars=escape_chars,
216 quote_strings=quote_strings,
--> 217 max_seq_items=max_seq_items)
218 elif isinstance(thing, str) and quote_strings:
219 result = "'{thing}'".format(thing=as_escaped_unicode(thing))
~/sandbox/pandas/pandas/io/formats/printing.py in _pprint_seq(seq, _nest_lvl, max_seq_items, **kwds)
111 r = [pprint_thing(next(s),
112 _nest_lvl + 1, max_seq_items=max_seq_items, **kwds)
--> 113 for i in range(min(nitems, len(seq)))]
114 body = ", ".join(r)
115
~/sandbox/pandas/pandas/io/formats/printing.py in <listcomp>(.0)
111 r = [pprint_thing(next(s),
112 _nest_lvl + 1, max_seq_items=max_seq_items, **kwds)
--> 113 for i in range(min(nitems, len(seq)))]
114 body = ", ".join(r)
115
~/sandbox/pandas/pandas/core/arrays/base.py in __iter__(self)
283 # calls to ``__getitem__``, which may be slower than necessary.
284 for i in range(len(self)):
--> 285 yield self[i]
286
287 # ------------------------------------------------------------------------
~/sandbox/pandas/pandas/core/arrays/sparse.py in __getitem__(self, key)
1092
1093 if is_integer(key):
-> 1094 return self._get_val_at(key)
1095 elif isinstance(key, tuple):
1096 data_slice = self.to_dense()[key]
~/sandbox/pandas/pandas/core/arrays/sparse.py in _get_val_at(self, loc)
1135 return self.fill_value
1136 else:
-> 1137 return libindex.get_value_at(self.sp_values, sp_loc)
1138
1139 def take(self, indices, allow_fill=False, fill_value=None):
TypeError: Argument 'arr' has incorrect type (expected numpy.ndarray, got numpy.int64)
In [4]: result = np.maximum.reduce(a)
In [5]: type(result)
Out[5]: pandas.core.arrays.sparse.SparseArrayshould be a scalar 10.