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1 | 1 | """ self-contained to write legacy storage (pickle/msgpack) files """
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2 | 2 | from __future__ import print_function
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3 | 3 | from distutils.version import LooseVersion
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4 |
| -from pandas import (Series, TimeSeries, DataFrame, Panel, |
5 |
| - SparseSeries, SparseTimeSeries, SparseDataFrame, SparsePanel, |
| 4 | +from pandas import (Series, DataFrame, Panel, |
| 5 | + SparseSeries, SparseDataFrame, SparsePanel, |
6 | 6 | Index, MultiIndex, PeriodIndex, bdate_range, to_msgpack,
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7 | 7 | date_range, period_range, bdate_range, Timestamp, Categorical,
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8 | 8 | Period)
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@@ -36,7 +36,7 @@ def _create_sp_tsseries():
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36 | 36 | arr[-1:] = nan
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37 | 37 |
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38 | 38 | date_index = bdate_range('1/1/2011', periods=len(arr))
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39 |
| - bseries = SparseTimeSeries(arr, index=date_index, kind='block') |
| 39 | + bseries = SparseSeries(arr, index=date_index, kind='block') |
40 | 40 | bseries.name = 'btsseries'
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41 | 41 | return bseries
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42 | 42 |
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@@ -78,7 +78,7 @@ def create_data():
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78 | 78 | series = dict(float=Series(data['A']),
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79 | 79 | int=Series(data['B']),
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80 | 80 | mixed=Series(data['E']),
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81 |
| - ts=TimeSeries(np.arange(10).astype(np.int64), index=date_range('20130101',periods=10)), |
| 81 | + ts=Series(np.arange(10).astype(np.int64), index=date_range('20130101',periods=10)), |
82 | 82 | mi=Series(np.arange(5).astype(np.float64),
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83 | 83 | index=MultiIndex.from_tuples(tuple(zip(*[[1, 1, 2, 2, 2], [3, 4, 3, 4, 5]])),
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84 | 84 | names=['one', 'two'])),
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