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test_common.py
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test_common.py
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# -*- coding: utf-8 -*-
import pytest
import numpy as np
import pandas as pd
from pandas.core.dtypes.dtypes import (DatetimeTZDtype, PeriodDtype,
CategoricalDtype, IntervalDtype)
import pandas.core.dtypes.common as com
import pandas.util.testing as tm
class TestPandasDtype(object):
# Passing invalid dtype, both as a string or object, must raise TypeError
# Per issue GH15520
def test_invalid_dtype_error(self):
msg = 'not understood'
invalid_list = [pd.Timestamp, 'pd.Timestamp', list]
for dtype in invalid_list:
with tm.assert_raises_regex(TypeError, msg):
com.pandas_dtype(dtype)
valid_list = [object, 'float64', np.object_, np.dtype('object'), 'O',
np.float64, float, np.dtype('float64')]
for dtype in valid_list:
com.pandas_dtype(dtype)
def test_numpy_dtype(self):
for dtype in ['M8[ns]', 'm8[ns]', 'object', 'float64', 'int64']:
assert com.pandas_dtype(dtype) == np.dtype(dtype)
def test_numpy_string_dtype(self):
# do not parse freq-like string as period dtype
assert com.pandas_dtype('U') == np.dtype('U')
assert com.pandas_dtype('S') == np.dtype('S')
def test_datetimetz_dtype(self):
for dtype in ['datetime64[ns, US/Eastern]',
'datetime64[ns, Asia/Tokyo]',
'datetime64[ns, UTC]']:
assert com.pandas_dtype(dtype) is DatetimeTZDtype(dtype)
assert com.pandas_dtype(dtype) == DatetimeTZDtype(dtype)
assert com.pandas_dtype(dtype) == dtype
def test_categorical_dtype(self):
assert com.pandas_dtype('category') == CategoricalDtype()
def test_period_dtype(self):
for dtype in ['period[D]', 'period[3M]', 'period[U]',
'Period[D]', 'Period[3M]', 'Period[U]']:
assert com.pandas_dtype(dtype) is PeriodDtype(dtype)
assert com.pandas_dtype(dtype) == PeriodDtype(dtype)
assert com.pandas_dtype(dtype) == dtype
dtypes = dict(datetime_tz=com.pandas_dtype('datetime64[ns, US/Eastern]'),
datetime=com.pandas_dtype('datetime64[ns]'),
timedelta=com.pandas_dtype('timedelta64[ns]'),
period=PeriodDtype('D'),
integer=np.dtype(np.int64),
float=np.dtype(np.float64),
object=np.dtype(np.object),
category=com.pandas_dtype('category'))
@pytest.mark.parametrize('name1,dtype1',
list(dtypes.items()),
ids=lambda x: str(x))
@pytest.mark.parametrize('name2,dtype2',
list(dtypes.items()),
ids=lambda x: str(x))
def test_dtype_equal(name1, dtype1, name2, dtype2):
# match equal to self, but not equal to other
assert com.is_dtype_equal(dtype1, dtype1)
if name1 != name2:
assert not com.is_dtype_equal(dtype1, dtype2)
def test_dtype_equal_strict():
# we are strict on kind equality
for dtype in [np.int8, np.int16, np.int32]:
assert not com.is_dtype_equal(np.int64, dtype)
for dtype in [np.float32]:
assert not com.is_dtype_equal(np.float64, dtype)
# strict w.r.t. PeriodDtype
assert not com.is_dtype_equal(PeriodDtype('D'), PeriodDtype('2D'))
# strict w.r.t. datetime64
assert not com.is_dtype_equal(
com.pandas_dtype('datetime64[ns, US/Eastern]'),
com.pandas_dtype('datetime64[ns, CET]'))
# see gh-15941: no exception should be raised
assert not com.is_dtype_equal(None, None)
def get_is_dtype_funcs():
"""
Get all functions in pandas.core.dtypes.common that
begin with 'is_' and end with 'dtype'
"""
fnames = [f for f in dir(com) if (f.startswith('is_') and
f.endswith('dtype'))]
return [getattr(com, fname) for fname in fnames]
@pytest.mark.parametrize('func',
get_is_dtype_funcs(),
ids=lambda x: x.__name__)
def test_get_dtype_error_catch(func):
# see gh-15941
#
# No exception should be raised.
assert not func(None)
def test_is_object():
assert com.is_object_dtype(object)
assert com.is_object_dtype(np.array([], dtype=object))
assert not com.is_object_dtype(int)
assert not com.is_object_dtype(np.array([], dtype=int))
assert not com.is_object_dtype([1, 2, 3])
def test_is_sparse():
assert com.is_sparse(pd.SparseArray([1, 2, 3]))
assert com.is_sparse(pd.SparseSeries([1, 2, 3]))
assert not com.is_sparse(np.array([1, 2, 3]))
# This test will only skip if the previous assertions
# pass AND scipy is not installed.
sparse = pytest.importorskip("scipy.sparse")
assert not com.is_sparse(sparse.bsr_matrix([1, 2, 3]))
def test_is_scipy_sparse():
tm._skip_if_no_scipy()
from scipy.sparse import bsr_matrix
assert com.is_scipy_sparse(bsr_matrix([1, 2, 3]))
assert not com.is_scipy_sparse(pd.SparseArray([1, 2, 3]))
assert not com.is_scipy_sparse(pd.SparseSeries([1, 2, 3]))
def test_is_categorical():
cat = pd.Categorical([1, 2, 3])
assert com.is_categorical(cat)
assert com.is_categorical(pd.Series(cat))
assert com.is_categorical(pd.CategoricalIndex([1, 2, 3]))
assert not com.is_categorical([1, 2, 3])
def test_is_datetimetz():
assert not com.is_datetimetz([1, 2, 3])
assert not com.is_datetimetz(pd.DatetimeIndex([1, 2, 3]))
assert com.is_datetimetz(pd.DatetimeIndex([1, 2, 3], tz="US/Eastern"))
dtype = DatetimeTZDtype("ns", tz="US/Eastern")
s = pd.Series([], dtype=dtype)
assert com.is_datetimetz(s)
def test_is_period():
assert not com.is_period([1, 2, 3])
assert not com.is_period(pd.Index([1, 2, 3]))
assert com.is_period(pd.PeriodIndex(["2017-01-01"], freq="D"))
def test_is_datetime64_dtype():
assert not com.is_datetime64_dtype(object)
assert not com.is_datetime64_dtype([1, 2, 3])
assert not com.is_datetime64_dtype(np.array([], dtype=int))
assert com.is_datetime64_dtype(np.datetime64)
assert com.is_datetime64_dtype(np.array([], dtype=np.datetime64))
def test_is_datetime64tz_dtype():
assert not com.is_datetime64tz_dtype(object)
assert not com.is_datetime64tz_dtype([1, 2, 3])
assert not com.is_datetime64tz_dtype(pd.DatetimeIndex([1, 2, 3]))
assert com.is_datetime64tz_dtype(pd.DatetimeIndex(
[1, 2, 3], tz="US/Eastern"))
def test_is_timedelta64_dtype():
assert not com.is_timedelta64_dtype(object)
assert not com.is_timedelta64_dtype(None)
assert not com.is_timedelta64_dtype([1, 2, 3])
assert not com.is_timedelta64_dtype(np.array([], dtype=np.datetime64))
assert not com.is_timedelta64_dtype('0 days')
assert not com.is_timedelta64_dtype("0 days 00:00:00")
assert not com.is_timedelta64_dtype(["0 days 00:00:00"])
assert not com.is_timedelta64_dtype("NO DATE")
assert com.is_timedelta64_dtype(np.timedelta64)
assert com.is_timedelta64_dtype(pd.Series([], dtype="timedelta64[ns]"))
assert com.is_timedelta64_dtype(pd.to_timedelta(['0 days', '1 days']))
def test_is_period_dtype():
assert not com.is_period_dtype(object)
assert not com.is_period_dtype([1, 2, 3])
assert not com.is_period_dtype(pd.Period("2017-01-01"))
assert com.is_period_dtype(PeriodDtype(freq="D"))
assert com.is_period_dtype(pd.PeriodIndex([], freq="A"))
def test_is_interval_dtype():
assert not com.is_interval_dtype(object)
assert not com.is_interval_dtype([1, 2, 3])
assert com.is_interval_dtype(IntervalDtype())
interval = pd.Interval(1, 2, closed="right")
assert not com.is_interval_dtype(interval)
assert com.is_interval_dtype(pd.IntervalIndex([interval]))
def test_is_categorical_dtype():
assert not com.is_categorical_dtype(object)
assert not com.is_categorical_dtype([1, 2, 3])
assert com.is_categorical_dtype(CategoricalDtype())
assert com.is_categorical_dtype(pd.Categorical([1, 2, 3]))
assert com.is_categorical_dtype(pd.CategoricalIndex([1, 2, 3]))
def test_is_string_dtype():
assert not com.is_string_dtype(int)
assert not com.is_string_dtype(pd.Series([1, 2]))
assert com.is_string_dtype(str)
assert com.is_string_dtype(object)
assert com.is_string_dtype(np.array(['a', 'b']))
def test_is_period_arraylike():
assert not com.is_period_arraylike([1, 2, 3])
assert not com.is_period_arraylike(pd.Index([1, 2, 3]))
assert com.is_period_arraylike(pd.PeriodIndex(["2017-01-01"], freq="D"))
def test_is_datetime_arraylike():
assert not com.is_datetime_arraylike([1, 2, 3])
assert not com.is_datetime_arraylike(pd.Index([1, 2, 3]))
assert com.is_datetime_arraylike(pd.DatetimeIndex([1, 2, 3]))
def test_is_datetimelike():
assert not com.is_datetimelike([1, 2, 3])
assert not com.is_datetimelike(pd.Index([1, 2, 3]))
assert com.is_datetimelike(pd.DatetimeIndex([1, 2, 3]))
assert com.is_datetimelike(pd.PeriodIndex([], freq="A"))
assert com.is_datetimelike(np.array([], dtype=np.datetime64))
assert com.is_datetimelike(pd.Series([], dtype="timedelta64[ns]"))
assert com.is_datetimelike(pd.DatetimeIndex([1, 2, 3], tz="US/Eastern"))
dtype = DatetimeTZDtype("ns", tz="US/Eastern")
s = pd.Series([], dtype=dtype)
assert com.is_datetimelike(s)
def test_is_integer_dtype():
assert not com.is_integer_dtype(str)
assert not com.is_integer_dtype(float)
assert not com.is_integer_dtype(np.datetime64)
assert not com.is_integer_dtype(np.timedelta64)
assert not com.is_integer_dtype(pd.Index([1, 2.]))
assert not com.is_integer_dtype(np.array(['a', 'b']))
assert not com.is_integer_dtype(np.array([], dtype=np.timedelta64))
assert com.is_integer_dtype(int)
assert com.is_integer_dtype(np.uint64)
assert com.is_integer_dtype(pd.Series([1, 2]))
def test_is_signed_integer_dtype():
assert not com.is_signed_integer_dtype(str)
assert not com.is_signed_integer_dtype(float)
assert not com.is_signed_integer_dtype(np.uint64)
assert not com.is_signed_integer_dtype(np.datetime64)
assert not com.is_signed_integer_dtype(np.timedelta64)
assert not com.is_signed_integer_dtype(pd.Index([1, 2.]))
assert not com.is_signed_integer_dtype(np.array(['a', 'b']))
assert not com.is_signed_integer_dtype(np.array([1, 2], dtype=np.uint32))
assert not com.is_signed_integer_dtype(np.array([], dtype=np.timedelta64))
assert com.is_signed_integer_dtype(int)
assert com.is_signed_integer_dtype(pd.Series([1, 2]))
def test_is_unsigned_integer_dtype():
assert not com.is_unsigned_integer_dtype(str)
assert not com.is_unsigned_integer_dtype(int)
assert not com.is_unsigned_integer_dtype(float)
assert not com.is_unsigned_integer_dtype(pd.Series([1, 2]))
assert not com.is_unsigned_integer_dtype(pd.Index([1, 2.]))
assert not com.is_unsigned_integer_dtype(np.array(['a', 'b']))
assert com.is_unsigned_integer_dtype(np.uint64)
assert com.is_unsigned_integer_dtype(np.array([1, 2], dtype=np.uint32))
def test_is_int64_dtype():
assert not com.is_int64_dtype(str)
assert not com.is_int64_dtype(float)
assert not com.is_int64_dtype(np.int32)
assert not com.is_int64_dtype(np.uint64)
assert not com.is_int64_dtype(pd.Index([1, 2.]))
assert not com.is_int64_dtype(np.array(['a', 'b']))
assert not com.is_int64_dtype(np.array([1, 2], dtype=np.uint32))
assert com.is_int64_dtype(np.int64)
assert com.is_int64_dtype(np.array([1, 2], dtype=np.int64))
def test_is_int_or_datetime_dtype():
assert not com.is_int_or_datetime_dtype(str)
assert not com.is_int_or_datetime_dtype(float)
assert not com.is_int_or_datetime_dtype(pd.Index([1, 2.]))
assert not com.is_int_or_datetime_dtype(np.array(['a', 'b']))
assert com.is_int_or_datetime_dtype(int)
assert com.is_int_or_datetime_dtype(np.uint64)
assert com.is_int_or_datetime_dtype(np.datetime64)
assert com.is_int_or_datetime_dtype(np.timedelta64)
assert com.is_int_or_datetime_dtype(pd.Series([1, 2]))
assert com.is_int_or_datetime_dtype(np.array([], dtype=np.datetime64))
assert com.is_int_or_datetime_dtype(np.array([], dtype=np.timedelta64))
def test_is_datetime64_any_dtype():
assert not com.is_datetime64_any_dtype(int)
assert not com.is_datetime64_any_dtype(str)
assert not com.is_datetime64_any_dtype(np.array([1, 2]))
assert not com.is_datetime64_any_dtype(np.array(['a', 'b']))
assert com.is_datetime64_any_dtype(np.datetime64)
assert com.is_datetime64_any_dtype(np.array([], dtype=np.datetime64))
assert com.is_datetime64_any_dtype(DatetimeTZDtype("ns", "US/Eastern"))
assert com.is_datetime64_any_dtype(pd.DatetimeIndex([1, 2, 3],
dtype=np.datetime64))
def test_is_datetime64_ns_dtype():
assert not com.is_datetime64_ns_dtype(int)
assert not com.is_datetime64_ns_dtype(str)
assert not com.is_datetime64_ns_dtype(np.datetime64)
assert not com.is_datetime64_ns_dtype(np.array([1, 2]))
assert not com.is_datetime64_ns_dtype(np.array(['a', 'b']))
assert not com.is_datetime64_ns_dtype(np.array([], dtype=np.datetime64))
# This datetime array has the wrong unit (ps instead of ns)
assert not com.is_datetime64_ns_dtype(np.array([], dtype="datetime64[ps]"))
assert com.is_datetime64_ns_dtype(DatetimeTZDtype("ns", "US/Eastern"))
assert com.is_datetime64_ns_dtype(pd.DatetimeIndex([1, 2, 3],
dtype=np.datetime64))
def test_is_timedelta64_ns_dtype():
assert not com.is_timedelta64_ns_dtype(np.dtype('m8[ps]'))
assert not com.is_timedelta64_ns_dtype(
np.array([1, 2], dtype=np.timedelta64))
assert com.is_timedelta64_ns_dtype(np.dtype('m8[ns]'))
assert com.is_timedelta64_ns_dtype(np.array([1, 2], dtype='m8[ns]'))
def test_is_datetime_or_timedelta_dtype():
assert not com.is_datetime_or_timedelta_dtype(int)
assert not com.is_datetime_or_timedelta_dtype(str)
assert not com.is_datetime_or_timedelta_dtype(pd.Series([1, 2]))
assert not com.is_datetime_or_timedelta_dtype(np.array(['a', 'b']))
assert com.is_datetime_or_timedelta_dtype(np.datetime64)
assert com.is_datetime_or_timedelta_dtype(np.timedelta64)
assert com.is_datetime_or_timedelta_dtype(
np.array([], dtype=np.timedelta64))
assert com.is_datetime_or_timedelta_dtype(
np.array([], dtype=np.datetime64))
def test_is_numeric_v_string_like():
assert not com.is_numeric_v_string_like(1, 1)
assert not com.is_numeric_v_string_like(1, "foo")
assert not com.is_numeric_v_string_like("foo", "foo")
assert not com.is_numeric_v_string_like(np.array([1]), np.array([2]))
assert not com.is_numeric_v_string_like(
np.array(["foo"]), np.array(["foo"]))
assert com.is_numeric_v_string_like(np.array([1]), "foo")
assert com.is_numeric_v_string_like("foo", np.array([1]))
assert com.is_numeric_v_string_like(np.array([1, 2]), np.array(["foo"]))
assert com.is_numeric_v_string_like(np.array(["foo"]), np.array([1, 2]))
def test_is_datetimelike_v_numeric():
dt = np.datetime64(pd.datetime(2017, 1, 1))
assert not com.is_datetimelike_v_numeric(1, 1)
assert not com.is_datetimelike_v_numeric(dt, dt)
assert not com.is_datetimelike_v_numeric(np.array([1]), np.array([2]))
assert not com.is_datetimelike_v_numeric(np.array([dt]), np.array([dt]))
assert com.is_datetimelike_v_numeric(1, dt)
assert com.is_datetimelike_v_numeric(1, dt)
assert com.is_datetimelike_v_numeric(np.array([dt]), 1)
assert com.is_datetimelike_v_numeric(np.array([1]), dt)
assert com.is_datetimelike_v_numeric(np.array([dt]), np.array([1]))
def test_is_datetimelike_v_object():
obj = object()
dt = np.datetime64(pd.datetime(2017, 1, 1))
assert not com.is_datetimelike_v_object(dt, dt)
assert not com.is_datetimelike_v_object(obj, obj)
assert not com.is_datetimelike_v_object(np.array([dt]), np.array([1]))
assert not com.is_datetimelike_v_object(np.array([dt]), np.array([dt]))
assert not com.is_datetimelike_v_object(np.array([obj]), np.array([obj]))
assert com.is_datetimelike_v_object(dt, obj)
assert com.is_datetimelike_v_object(obj, dt)
assert com.is_datetimelike_v_object(np.array([dt]), obj)
assert com.is_datetimelike_v_object(np.array([obj]), dt)
assert com.is_datetimelike_v_object(np.array([dt]), np.array([obj]))
def test_needs_i8_conversion():
assert not com.needs_i8_conversion(str)
assert not com.needs_i8_conversion(np.int64)
assert not com.needs_i8_conversion(pd.Series([1, 2]))
assert not com.needs_i8_conversion(np.array(['a', 'b']))
assert com.needs_i8_conversion(np.datetime64)
assert com.needs_i8_conversion(pd.Series([], dtype="timedelta64[ns]"))
assert com.needs_i8_conversion(pd.DatetimeIndex(
[1, 2, 3], tz="US/Eastern"))
def test_is_numeric_dtype():
assert not com.is_numeric_dtype(str)
assert not com.is_numeric_dtype(np.datetime64)
assert not com.is_numeric_dtype(np.timedelta64)
assert not com.is_numeric_dtype(np.array(['a', 'b']))
assert not com.is_numeric_dtype(np.array([], dtype=np.timedelta64))
assert com.is_numeric_dtype(int)
assert com.is_numeric_dtype(float)
assert com.is_numeric_dtype(np.uint64)
assert com.is_numeric_dtype(pd.Series([1, 2]))
assert com.is_numeric_dtype(pd.Index([1, 2.]))
def test_is_string_like_dtype():
assert not com.is_string_like_dtype(object)
assert not com.is_string_like_dtype(pd.Series([1, 2]))
assert com.is_string_like_dtype(str)
assert com.is_string_like_dtype(np.array(['a', 'b']))
def test_is_float_dtype():
assert not com.is_float_dtype(str)
assert not com.is_float_dtype(int)
assert not com.is_float_dtype(pd.Series([1, 2]))
assert not com.is_float_dtype(np.array(['a', 'b']))
assert com.is_float_dtype(float)
assert com.is_float_dtype(pd.Index([1, 2.]))
def test_is_bool_dtype():
assert not com.is_bool_dtype(int)
assert not com.is_bool_dtype(str)
assert not com.is_bool_dtype(pd.Series([1, 2]))
assert not com.is_bool_dtype(np.array(['a', 'b']))
assert not com.is_bool_dtype(pd.Index(['a', 'b']))
assert com.is_bool_dtype(bool)
assert com.is_bool_dtype(np.bool)
assert com.is_bool_dtype(np.array([True, False]))
assert com.is_bool_dtype(pd.Index([True, False]))
def test_is_extension_type():
assert not com.is_extension_type([1, 2, 3])
assert not com.is_extension_type(np.array([1, 2, 3]))
assert not com.is_extension_type(pd.DatetimeIndex([1, 2, 3]))
cat = pd.Categorical([1, 2, 3])
assert com.is_extension_type(cat)
assert com.is_extension_type(pd.Series(cat))
assert com.is_extension_type(pd.SparseArray([1, 2, 3]))
assert com.is_extension_type(pd.SparseSeries([1, 2, 3]))
assert com.is_extension_type(pd.DatetimeIndex([1, 2, 3], tz="US/Eastern"))
dtype = DatetimeTZDtype("ns", tz="US/Eastern")
s = pd.Series([], dtype=dtype)
assert com.is_extension_type(s)
# This test will only skip if the previous assertions
# pass AND scipy is not installed.
sparse = pytest.importorskip("scipy.sparse")
assert not com.is_extension_type(sparse.bsr_matrix([1, 2, 3]))
def test_is_complex_dtype():
assert not com.is_complex_dtype(int)
assert not com.is_complex_dtype(str)
assert not com.is_complex_dtype(pd.Series([1, 2]))
assert not com.is_complex_dtype(np.array(['a', 'b']))
assert com.is_complex_dtype(np.complex)
assert com.is_complex_dtype(np.array([1 + 1j, 5]))
@pytest.mark.parametrize('input_param,result', [
(int, np.dtype(int)),
('int32', np.dtype('int32')),
(float, np.dtype(float)),
('float64', np.dtype('float64')),
(np.dtype('float64'), np.dtype('float64')),
(str, np.dtype(str)),
(pd.Series([1, 2], dtype=np.dtype('int16')), np.dtype('int16')),
(pd.Series(['a', 'b']), np.dtype(object)),
(pd.Index([1, 2]), np.dtype('int64')),
(pd.Index(['a', 'b']), np.dtype(object)),
('category', 'category'),
(pd.Categorical(['a', 'b']).dtype, CategoricalDtype(['a', 'b'])),
(pd.Categorical(['a', 'b']), CategoricalDtype(['a', 'b'])),
(pd.CategoricalIndex(['a', 'b']).dtype, CategoricalDtype(['a', 'b'])),
(pd.CategoricalIndex(['a', 'b']), CategoricalDtype(['a', 'b'])),
(CategoricalDtype(), CategoricalDtype()),
(CategoricalDtype(['a', 'b']), CategoricalDtype()),
(pd.DatetimeIndex([1, 2]), np.dtype('<M8[ns]')),
(pd.DatetimeIndex([1, 2]).dtype, np.dtype('<M8[ns]')),
('<M8[ns]', np.dtype('<M8[ns]')),
('datetime64[ns, Europe/London]', DatetimeTZDtype('ns', 'Europe/London')),
(pd.SparseSeries([1, 2], dtype='int32'), np.dtype('int32')),
(pd.SparseSeries([1, 2], dtype='int32').dtype, np.dtype('int32')),
(PeriodDtype(freq='D'), PeriodDtype(freq='D')),
('period[D]', PeriodDtype(freq='D')),
(IntervalDtype(), IntervalDtype()),
])
def test__get_dtype(input_param, result):
assert com._get_dtype(input_param) == result
@pytest.mark.parametrize('input_param', [None,
1, 1.2,
'random string',
pd.DataFrame([1, 2])])
def test__get_dtype_fails(input_param):
# python objects
pytest.raises(TypeError, com._get_dtype, input_param)
@pytest.mark.parametrize('input_param,result', [
(int, np.dtype(int).type),
('int32', np.int32),
(float, np.dtype(float).type),
('float64', np.float64),
(np.dtype('float64'), np.float64),
(str, np.dtype(str).type),
(pd.Series([1, 2], dtype=np.dtype('int16')), np.int16),
(pd.Series(['a', 'b']), np.object_),
(pd.Index([1, 2], dtype='int64'), np.int64),
(pd.Index(['a', 'b']), np.object_),
('category', com.CategoricalDtypeType),
(pd.Categorical(['a', 'b']).dtype, com.CategoricalDtypeType),
(pd.Categorical(['a', 'b']), com.CategoricalDtypeType),
(pd.CategoricalIndex(['a', 'b']).dtype, com.CategoricalDtypeType),
(pd.CategoricalIndex(['a', 'b']), com.CategoricalDtypeType),
(pd.DatetimeIndex([1, 2]), np.datetime64),
(pd.DatetimeIndex([1, 2]).dtype, np.datetime64),
('<M8[ns]', np.datetime64),
(pd.DatetimeIndex([1, 2], tz='Europe/London'), com.DatetimeTZDtypeType),
(pd.DatetimeIndex([1, 2], tz='Europe/London').dtype,
com.DatetimeTZDtypeType),
('datetime64[ns, Europe/London]', com.DatetimeTZDtypeType),
(pd.SparseSeries([1, 2], dtype='int32'), np.int32),
(pd.SparseSeries([1, 2], dtype='int32').dtype, np.int32),
(PeriodDtype(freq='D'), com.PeriodDtypeType),
('period[D]', com.PeriodDtypeType),
(IntervalDtype(), com.IntervalDtypeType),
(None, type(None)),
(1, type(None)),
(1.2, type(None)),
(pd.DataFrame([1, 2]), type(None)), # composite dtype
])
def test__get_dtype_type(input_param, result):
assert com._get_dtype_type(input_param) == result