Closed
Description
With latest master:
In [1]: from pandas import *
In [7]: p = period_range('2013',periods=10)
In [8]: p
Out[8]:
PeriodIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',
'2013-01-05', '2013-01-06', '2013-01-07', '2013-01-08',
'2013-01-09', '2013-01-10'],
dtype='int64', freq='D')
In [10]: Series(p)
Out[10]: -----------------------------------------------------------------------
----
AttributeError Traceback (most recent call last)
C:\Anaconda\envs\devel\lib\site-packages\IPython\core\formatters.pyc in __call__
(self, obj)
693 type_pprinters=self.type_printers,
694 deferred_pprinters=self.deferred_printers)
--> 695 printer.pretty(obj)
696 printer.flush()
697 return stream.getvalue()
...
c:\users\vdbosscj\scipy\pandas-joris\pandas\core\format.pyc in _format_strings(s
elf)
2107
2108 def _format_strings(self):
-> 2109 values = np.array(self.values.to_native_types(), dtype=object)
2110 formatter = self.formatter or (lambda x: '%s' % x)
2111 fmt_values = [formatter(x) for x in values]
AttributeError: 'numpy.ndarray' object has no attribute 'to_native_types'
cc @sinhrks (I was trying to fix the stacklevel for the FutureWarnings, but saw this error, possibly related to your recent Period work?)