pandas@4c78b97 (original) (raw)

`@@ -26,10 +26,8 @@

26

`from pandas.util.testing import assert_series_equal

27

`import pandas.util.testing as tm

28

29

from .common import TestData

30

29

31

-

32

class TestSeriesConstructors(TestData):

30

class TestSeriesConstructors():

33

31

34

32

`def test_invalid_dtype(self):

35

33

`# GH15520

`@@ -50,23 +48,23 @@ def test_scalar_conversion(self):

50

48

`assert int(Series([1.])) == 1

51

49

`assert long(Series([1.])) == 1

52

50

53

def test_constructor(self):

54

assert self.ts.index.is_all_dates

51

def test_constructor(self, datetime_series, empty_series):

52

assert datetime_series.index.is_all_dates

55

53

56

54

`# Pass in Series

57

derived = Series(self.ts)

55

derived = Series(datetime_series)

58

56

`assert derived.index.is_all_dates

59

57

60

assert tm.equalContents(derived.index, self.ts.index)

58

assert tm.equalContents(derived.index, datetime_series.index)

61

59

`# Ensure new index is not created

62

assert id(self.ts.index) == id(derived.index)

60

assert id(datetime_series.index) == id(derived.index)

63

61

64

62

`# Mixed type Series

65

63

`mixed = Series(['hello', np.NaN], index=[0, 1])

66

64

`assert mixed.dtype == np.object_

67

65

`assert mixed[1] is np.NaN

68

66

69

assert not self.empty.index.is_all_dates

67

assert not empty_series.index.is_all_dates

70

68

`assert not Series({}).index.is_all_dates

71

69

`pytest.raises(Exception, Series, np.random.randn(3, 3),

72

70

`index=np.arange(3))

`@@ -977,27 +975,27 @@ def test_fromDict(self):

977

975

`series = Series(data, dtype=float)

978

976

`assert series.dtype == np.float64

979

977

980

def test_fromValue(self):

978

def test_fromValue(self, datetime_series):

981

979

982

nans = Series(np.NaN, index=self.ts.index)

980

nans = Series(np.NaN, index=datetime_series.index)

983

981

`assert nans.dtype == np.float_

984

assert len(nans) == len(self.ts)

982

assert len(nans) == len(datetime_series)

985

983

986

strings = Series('foo', index=self.ts.index)

984

strings = Series('foo', index=datetime_series.index)

987

985

`assert strings.dtype == np.object_

988

assert len(strings) == len(self.ts)

986

assert len(strings) == len(datetime_series)

989

987

990

988

`d = datetime.now()

991

dates = Series(d, index=self.ts.index)

989

dates = Series(d, index=datetime_series.index)

992

990

`assert dates.dtype == 'M8[ns]'

993

assert len(dates) == len(self.ts)

991

assert len(dates) == len(datetime_series)

994

992

995

993

`# GH12336

996

994

`# Test construction of categorical series from value

997

categorical = Series(0, index=self.ts.index, dtype="category")

998

expected = Series(0, index=self.ts.index).astype("category")

995

categorical = Series(0, index=datetime_series.index, dtype="category")

996

expected = Series(0, index=datetime_series.index).astype("category")

999

997

`assert categorical.dtype == 'category'

1000

assert len(categorical) == len(self.ts)

998

assert len(categorical) == len(datetime_series)

1001

999

`tm.assert_series_equal(categorical, expected)

1002

1000

1003

1001

`def test_constructor_dtype_timedelta64(self):