resolve merge_conflict pt1

Author: thoo

pandas/tests/series/test_api.py

@@ -11,10 +11,11 @@
 import pandas.io.formats.printing as printing
 import pandas.util.testing as tm
 from pandas import (
-    Categorical, DataFrame, DatetimeIndex, Index, PeriodIndex, Series,
-    TimedeltaIndex, compat, date_range, period_range, timedelta_range
+    Categorical, DataFrame, DatetimeIndex, Index, Series, TimedeltaIndex,
+    compat, date_range, period_range, timedelta_range
 )
 from pandas.compat import isidentifier, lzip, range, string_types
+from pandas.core.arrays import PeriodArray
 from pandas.core.indexes.datetimes import Timestamp
 from pandas.util.testing import assert_series_equal, ensure_clean
 
@@ -696,7 +697,7 @@ def test_dt_accessor_api_for_categorical(self):
 
         test_data = [
             ("Datetime", get_ops(DatetimeIndex), s_dr, c_dr),
-            ("Period", get_ops(PeriodIndex), s_pr, c_pr),
+            ("Period", get_ops(PeriodArray), s_pr, c_pr),
             ("Timedelta", get_ops(TimedeltaIndex), s_tdr, c_tdr)]
 
         assert isinstance(c_dr.dt, Properties)

pandas/tests/series/test_constructors.py

@@ -1,28 +1,30 @@
 # coding=utf-8
 # pylint: disable-msg=E1101,W0612
 
-from collections import OrderedDict
+import pytest
+
 from datetime import datetime, timedelta
+from collections import OrderedDict
 
+from numpy import nan
 import numpy as np
 import numpy.ma as ma
-import pytest
-from numpy import nan
-
 import pandas as pd
-import pandas.util.testing as tm
-from pandas import (
-    Categorical, DataFrame, Index, IntervalIndex, MultiIndex, NaT, Series,
-    Timestamp, date_range, isna, period_range, timedelta_range
-)
-from pandas._libs import lib
-from pandas._libs.tslib import iNaT
+
 from pandas.api.types import CategoricalDtype
-from pandas.compat import PY36, long, lrange, range, zip
 from pandas.core.dtypes.common import (
-    is_categorical_dtype, is_datetime64tz_dtype
-)
+    is_categorical_dtype,
+    is_datetime64tz_dtype)
+from pandas import (Index, Series, isna, date_range, Timestamp,
+                    NaT, period_range, timedelta_range, MultiIndex,
+                    IntervalIndex, Categorical, DataFrame)
+from pandas.core.arrays import period_array
+from pandas._libs import lib
+from pandas._libs.tslib import iNaT
+
+from pandas.compat import lrange, range, zip, long, PY36
 from pandas.util.testing import assert_series_equal
+import pandas.util.testing as tm
 
 
 class TestSeriesConstructors():
@@ -854,17 +856,33 @@ def test_construction_consistency(self):
         result = Series(s.values, dtype=s.dtype)
         tm.assert_series_equal(result, s)
 
+    def test_constructor_infer_period(self):
+        data = [pd.Period('2000', 'D'), pd.Period('2001', 'D'), None]
+        result = pd.Series(data)
+        expected = pd.Series(period_array(data))
+        tm.assert_series_equal(result, expected)
+        assert result.dtype == 'Period[D]'
+
+        data = np.asarray(data, dtype=object)
+        tm.assert_series_equal(result, expected)
+        assert result.dtype == 'Period[D]'
+
+    def test_constructor_period_incompatible_frequency(self):
+        data = [pd.Period('2000', 'D'), pd.Period('2001', 'A')]
+        result = pd.Series(data)
+        assert result.dtype == object
+        assert result.tolist() == data
+
     def test_constructor_periodindex(self):
         # GH7932
         # converting a PeriodIndex when put in a Series
 
         pi = period_range('20130101', periods=5, freq='D')
         s = Series(pi)
+        assert s.dtype == 'Period[D]'
         expected = Series(pi.astype(object))
         assert_series_equal(s, expected)
 
-        assert s.dtype == 'object'
-
     def test_constructor_dict(self):
         d = {'a': 0., 'b': 1., 'c': 2.}
         result = Series(d, index=['b', 'c', 'd', 'a'])
@@ -1139,7 +1157,12 @@ def test_convert_non_ns(self):
     def test_constructor_cant_cast_datetimelike(self, index):
 
         # floats are not ok
-        msg = "Cannot cast {} to ".format(type(index).__name__)
+        msg = "Cannot cast {}.*? to ".format(
+            # strip Index to convert PeriodIndex -> Period
+            # We don't care whether the error message says
+            # PeriodIndex or PeriodArray
+            type(index).__name__.rstrip("Index")
+        )
         with tm.assert_raises_regex(TypeError, msg):
             Series(index, dtype=float)