def test_as_json_table_type_categorical_data(self):
self.assertEqual(as_json_table_type(pd.Categorical(['a'])), 'any')
self.assertEqual(as_json_table_type(pd.Categorical([1])), 'any')
self.assertEqual(as_json_table_type(
pd.Series(pd.Categorical([1]))), 'any')
self.assertEqual(as_json_table_type(pd.CategoricalIndex([1])), 'any')
self.assertEqual(as_json_table_type(pd.Categorical([1])), 'any')
def test_as_json_table_type_categorical_data(self):
self.assertEqual(as_json_table_type(pd.Categorical(['a'])), 'any')
self.assertEqual(as_json_table_type(pd.Categorical([1])), 'any')
self.assertEqual(as_json_table_type(
pd.Series(pd.Categorical([1]))), 'any')
self.assertEqual(as_json_table_type(pd.CategoricalIndex([1])), 'any')
self.assertEqual(as_json_table_type(pd.Categorical([1])), 'any')
def test_as_json_table_type_float_data(self):
float_data = [1., 2., 3.]
float_types = [np.float, np.float16, np.float32, np.float64]
for t in float_types:
self.assertEqual(as_json_table_type(np.array(float_data,
dtype=t)),
'number')
def test_as_json_table_type_float_data(self):
float_data = [1., 2., 3.]
float_types = [np.float, np.float16, np.float32, np.float64]
for t in float_types:
self.assertEqual(as_json_table_type(np.array(float_data,
dtype=t)),
'number')
def test_as_json_table_type_date_data(self):
date_data = [pd.to_datetime(['2016']),
pd.to_datetime(['2016'], utc=True),
pd.Series(pd.to_datetime(['2016'])),
pd.Series(pd.to_datetime(['2016'], utc=True)),
pd.period_range('2016', freq='A', periods=3)]
for arr in date_data:
self.assertEqual(as_json_table_type(arr), 'datetime')
def test_as_json_table_type_date_data(self):
date_data = [pd.to_datetime(['2016']),
pd.to_datetime(['2016'], utc=True),
pd.Series(pd.to_datetime(['2016'])),
pd.Series(pd.to_datetime(['2016'], utc=True)),
pd.period_range('2016', freq='A', periods=3)]
for arr in date_data:
self.assertEqual(as_json_table_type(arr), 'datetime')
def test_as_json_table_type_date_dtypes(self):
# TODO: datedate.date? datetime.time?
dates = [
np.datetime64,
np.dtype("<M8[ns]"),
PeriodDtype(),
DatetimeTZDtype('ns', 'US/Central')
]
for t in dates:
self.assertEqual(as_json_table_type(t), 'datetime')
def test_as_json_table_type_categorical_data(self, cat_data):
assert as_json_table_type(cat_data) == 'any'
def test_as_json_table_type_date_data(self, date_data):
assert as_json_table_type(date_data) == 'datetime'
def test_as_json_table_type_float_data(self, float_type):
float_data = [1., 2., 3.]
assert as_json_table_type(np.array(float_data,
dtype=float_type)) == 'number'
def test_as_json_table_type_timedelta_dtypes(self):
durations = [np.timedelta64, np.dtype("<m8[ns]")]
for t in durations:
assert as_json_table_type(t) == 'duration'
def test_as_json_table_type_string_dtypes(self):
strings = [object] # TODO
for t in strings:
self.assertEqual(as_json_table_type(t), 'string')
def test_as_json_table_type_string_data(self):
strings = [pd.Series(['a', 'b']), pd.Index(['a', 'b'])]
for t in strings:
self.assertEqual(as_json_table_type(t), 'string')
def test_as_json_table_type_string_dtypes(self, str_dtype):
assert as_json_table_type(str_dtype) == 'string'
def test_as_json_table_type_categorical_dtypes(self):
self.assertEqual(as_json_table_type(pd.Categorical), 'any')
self.assertEqual(as_json_table_type(CategoricalDtype()), 'any')
def test_as_json_table_type_string_dtypes(self):
strings = [object] # TODO
for t in strings:
self.assertEqual(as_json_table_type(t), 'string')
def test_as_json_table_type_timedelta_dtypes(self):
durations = [np.timedelta64, np.dtype("<m8[ns]")]
for t in durations:
self.assertEqual(as_json_table_type(t), 'duration')
def test_as_json_table_type_date_dtypes(self):
# TODO: datedate.date? datetime.time?
dates = [np.datetime64, np.dtype("<M8[ns]"), PeriodDtype(),
DatetimeTZDtype('ns', 'US/Central')]
for t in dates:
self.assertEqual(as_json_table_type(t), 'datetime')
def test_as_json_table_type_bool_dtypes(self):
bools = [bool, np.bool]
for t in bools:
self.assertEqual(as_json_table_type(t), 'boolean')
def test_as_json_table_type_float_dtypes(self):
floats = [np.float, np.float16, np.float32, np.float64]
for t in floats:
self.assertEqual(as_json_table_type(t), 'number')
def test_as_json_table_type_int_dtypes(self):
integers = [np.int, np.int16, np.int32, np.int64]
for t in integers:
self.assertEqual(as_json_table_type(t), 'integer')
def test_as_json_table_type_float_dtypes(self, float_dtype):
assert as_json_table_type(float_dtype) == 'number'
def test_as_json_table_type_date_dtypes(self, date_dtype):
# TODO: datedate.date? datetime.time?
assert as_json_table_type(date_dtype) == 'datetime'
def test_as_json_table_type_int_data(self):
int_data = [1, 2, 3]
int_types = [np.int, np.int16, np.int32, np.int64]
for t in int_types:
self.assertEqual(as_json_table_type(np.array(int_data, dtype=t)),
'integer')
def test_as_json_table_type_bool_data(self):
bool_data = [True, False]
bool_types = [bool, np.bool]
for t in bool_types:
self.assertEqual(as_json_table_type(np.array(bool_data, dtype=t)),
'boolean')
def test_as_json_table_type_bool_dtypes(self):
bools = [bool, np.bool]
for t in bools:
assert as_json_table_type(t) == 'boolean'
def test_as_json_table_type_bool_data(self):
bool_data = [True, False]
bool_types = [bool, np.bool]
for t in bool_types:
self.assertEqual(as_json_table_type(np.array(bool_data, dtype=t)),
'boolean')
def test_as_json_table_type_string_dtypes(self):
strings = [object] # TODO
for t in strings:
assert as_json_table_type(t) == 'string'
def test_as_json_table_type_int_data(self):
int_data = [1, 2, 3]
int_types = [np.int, np.int16, np.int32, np.int64]
for t in int_types:
self.assertEqual(as_json_table_type(np.array(int_data, dtype=t)),
'integer')
def test_as_json_table_type_string_data(self):
strings = [pd.Series(['a', 'b']), pd.Index(['a', 'b'])]
for t in strings:
self.assertEqual(as_json_table_type(t), 'string')
def test_as_json_table_type_timedelta_dtypes(self):
durations = [np.timedelta64, np.dtype("<m8[ns]")]
for t in durations:
assert as_json_table_type(t) == 'duration'
def test_as_json_table_type_bool_data(self, bool_type):
bool_data = [True, False]
assert as_json_table_type(np.array(
bool_data, dtype=bool_type)) == 'boolean'
def test_as_json_table_type_categorical_dtypes(self):
assert as_json_table_type(pd.Categorical) == 'any'
assert as_json_table_type(CategoricalDtype()) == 'any'
def test_as_json_table_type_date_data(self, date_data):
assert as_json_table_type(date_data) == 'datetime'
def test_as_json_table_type_int_data(self, int_type):
int_data = [1, 2, 3]
assert as_json_table_type(np.array(int_data,
dtype=int_type)) == 'integer'
def test_as_json_table_type_string_data(self, str_data):
assert as_json_table_type(str_data) == 'string'
def test_as_json_table_type_bool_data(self, bool_type):
bool_data = [True, False]
assert as_json_table_type(np.array(bool_data,
dtype=bool_type)) == 'boolean'
def test_as_json_table_type_categorical_data(self, cat_data):
assert as_json_table_type(cat_data) == 'any'
def test_as_json_table_type_string_data(self, str_data):
assert as_json_table_type(str_data) == 'string'
def test_as_json_table_type_int_dtypes(self, int_dtype):
assert as_json_table_type(int_dtype) == 'integer'
def test_as_json_table_type_int_dtypes(self, int_dtype):
assert as_json_table_type(int_dtype) == 'integer'
def test_as_json_table_type_float_dtypes(self, float_dtype):
assert as_json_table_type(float_dtype) == 'number'
def test_as_json_table_type_bool_dtypes(self, bool_dtype):
assert as_json_table_type(bool_dtype) == 'boolean'
def test_as_json_table_type_bool_dtypes(self, bool_dtype):
assert as_json_table_type(bool_dtype) == 'boolean'
def test_as_json_table_type_timedelta_dtypes(self, td_dtype):
assert as_json_table_type(td_dtype) == 'duration'
def test_as_json_table_type_date_dtypes(self, date_dtype):
# TODO: datedate.date? datetime.time?
assert as_json_table_type(date_dtype) == 'datetime'
def test_as_json_table_type_categorical_dtypes(self):
# TODO: I think before is_categorical_dtype(Categorical)
# returned True, but now it's False. Figure out why or
# if it matters
assert as_json_table_type(pd.Categorical(['a'])) == 'any'
assert as_json_table_type(CategoricalDtype()) == 'any'
def test_as_json_table_type_timedelta_dtypes(self, td_dtype):
assert as_json_table_type(td_dtype) == 'duration'
def test_as_json_table_type_int_dtypes(self):
integers = [np.int, np.int16, np.int32, np.int64]
for t in integers:
self.assertEqual(as_json_table_type(t), 'integer')
def test_as_json_table_type_bool_dtypes(self):
bools = [bool, np.bool]
for t in bools:
self.assertEqual(as_json_table_type(t), 'boolean')
def test_as_json_table_type_string_dtypes(self, str_dtype):
assert as_json_table_type(str_dtype) == 'string'
def test_as_json_table_type_string_dtypes(self):
strings = [object] # TODO
for t in strings:
assert as_json_table_type(t) == 'string'
def test_as_json_table_type_float_dtypes(self):
floats = [np.float, np.float16, np.float32, np.float64]
for t in floats:
self.assertEqual(as_json_table_type(t), 'number')
def test_as_json_table_type_categorical_dtypes(self):
# TODO: I think before is_categorical_dtype(Categorical)
# returned True, but now it's False. Figure out why or
# if it matters
assert as_json_table_type(pd.Categorical(['a'])) == 'any'
assert as_json_table_type(CategoricalDtype()) == 'any'
def test_as_json_table_type_timedelta_dtypes(self):
durations = [np.timedelta64, np.dtype("<m8[ns]")]
for t in durations:
self.assertEqual(as_json_table_type(t), 'duration')
def test_as_json_table_type_int_data(self, int_type):
int_data = [1, 2, 3]
assert as_json_table_type(np.array(
int_data, dtype=int_type)) == 'integer'
def test_as_json_table_type_categorical_dtypes(self):
self.assertEqual(as_json_table_type(pd.Categorical), 'any')
self.assertEqual(as_json_table_type(CategoricalDtype()), 'any')
def test_as_json_table_type_float_data(self, float_type):
float_data = [1., 2., 3.]
assert as_json_table_type(np.array(
float_data, dtype=float_type)) == 'number'
def test_as_json_table_type_bool_dtypes(self):
bools = [bool, np.bool]
for t in bools:
assert as_json_table_type(t) == 'boolean'
def test_as_json_table_type_float_dtypes(self):
floats = [np.float, np.float16, np.float32, np.float64]
for t in floats:
assert as_json_table_type(t) == 'number'
