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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?)
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Thanks, will check.
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With latest master:
cc @sinhrks (I was trying to fix the stacklevel for the FutureWarnings, but saw this error, possibly related to your recent Period work?)
The text was updated successfully, but these errors were encountered: