Closed
Description
Regression due to 1fa0635 :
import pandas as pd
print(pd.__version__)
values = [pd.Timestamp('2012-05-01T01:00:00.000000'), pd.Timestamp('2016-05-01T01:00:00.000000')]
arr = pd.arrays.SparseArray(values)
ser = pd.Series(arr)
ser1.2.0.dev0+147.g07983803b
Out[1]: ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
~/opt/miniconda3/envs/pandas-dev/lib/python3.8/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()
~/opt/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/IPython/lib/pretty.py in pretty(self, obj)
392 if cls is not object \
393 and callable(cls.__dict__.get('__repr__')):
--> 394 return _repr_pprint(obj, self, cycle)
395
396 return _default_pprint(obj, self, cycle)
~/opt/miniconda3/envs/pandas-dev/lib/python3.8/site-packages/IPython/lib/pretty.py in _repr_pprint(obj, p, cycle)
698 """A pprint that just redirects to the normal repr function."""
699 # Find newlines and replace them with p.break_()
--> 700 output = repr(obj)
701 lines = output.splitlines()
702 with p.group():
~/pandas/pandas/core/series.py in __repr__(self)
1315 show_dimensions = get_option("display.show_dimensions")
1316
-> 1317 self.to_string(
1318 buf=buf,
1319 name=self.name,
~/pandas/pandas/core/series.py in to_string(self, buf, na_rep, float_format, header, index, length, dtype, name, max_rows, min_rows)
1386 max_rows=max_rows,
1387 )
-> 1388 result = formatter.to_string()
1389
1390 # catch contract violations
~/pandas/pandas/io/formats/format.py in to_string(self)
356
357 fmt_index, have_header = self._get_formatted_index()
--> 358 fmt_values = self._get_formatted_values()
359
360 if self.truncate_v:
~/pandas/pandas/io/formats/format.py in _get_formatted_values(self)
341
342 def _get_formatted_values(self) -> List[str]:
--> 343 return format_array(
344 self.tr_series._values,
345 None,
~/pandas/pandas/io/formats/format.py in format_array(values, formatter, float_format, na_rep, digits, space, justify, decimal, leading_space, quoting)
1179 )
1180
-> 1181 return fmt_obj.get_result()
1182
1183
~/pandas/pandas/io/formats/format.py in get_result(self)
1210
1211 def get_result(self) -> List[str]:
-> 1212 fmt_values = self._format_strings()
1213 return _make_fixed_width(fmt_values, self.justify)
1214
~/pandas/pandas/io/formats/format.py in _format_strings(self)
1467
1468 if not isinstance(values, DatetimeIndex):
-> 1469 values = DatetimeIndex(values)
1470
1471 if self.formatter is not None and callable(self.formatter):
~/pandas/pandas/core/indexes/datetimes.py in __new__(cls, data, freq, tz, normalize, closed, ambiguous, dayfirst, yearfirst, dtype, copy, name)
269 name = maybe_extract_name(name, data, cls)
270
--> 271 dtarr = DatetimeArray._from_sequence(
272 data,
273 dtype=dtype,
~/pandas/pandas/core/arrays/datetimes.py in _from_sequence(cls, data, dtype, copy, tz, freq, dayfirst, yearfirst, ambiguous)
314 freq, freq_infer = dtl.maybe_infer_freq(freq)
315
--> 316 subarr, tz, inferred_freq = sequence_to_dt64ns(
317 data,
318 dtype=dtype,
~/pandas/pandas/core/arrays/datetimes.py in sequence_to_dt64ns(data, dtype, copy, tz, dayfirst, yearfirst, ambiguous)
1957 if is_datetime64tz_dtype(data_dtype):
1958 # DatetimeArray -> ndarray
-> 1959 tz = _maybe_infer_tz(tz, data.tz)
1960 result = data._data
1961
AttributeError: 'SparseArray' object has no attribute 'tz'xref #35762