Python pandas.core.dtypes.generic.ABCPeriodIndex() Examples
The following are 10
code examples of pandas.core.dtypes.generic.ABCPeriodIndex().
You can vote up the ones you like or vote down the ones you don't like,
and go to the original project or source file by following the links above each example.
You may also want to check out all available functions/classes of the module
pandas.core.dtypes.generic
, or try the search function
.
.
Example #1
| Source File: test_generic.py From recruit with Apache License 2.0 | 5 votes |
|
def test_abc_types(self):
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
assert isinstance(self.multi_index, gt.ABCMultiIndex)
assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
assert isinstance(self.period_index, gt.ABCPeriodIndex)
assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
assert isinstance(self.df, gt.ABCDataFrame)
with catch_warnings(record=True):
simplefilter('ignore', FutureWarning)
assert isinstance(self.df.to_panel(), gt.ABCPanel)
assert isinstance(self.sparse_series, gt.ABCSparseSeries)
assert isinstance(self.sparse_array, gt.ABCSparseArray)
assert isinstance(self.sparse_frame, gt.ABCSparseDataFrame)
assert isinstance(self.categorical, gt.ABCCategorical)
assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)
assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
assert isinstance(pd.Period('2012', freq='A-DEC').freq,
gt.ABCDateOffset)
assert not isinstance(pd.Period('2012', freq='A-DEC'),
gt.ABCDateOffset)
assert isinstance(pd.Interval(0, 1.5), gt.ABCInterval)
assert not isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCInterval)
assert isinstance(self.datetime_array, gt.ABCDatetimeArray)
assert not isinstance(self.datetime_index, gt.ABCDatetimeArray)
assert isinstance(self.timedelta_array, gt.ABCTimedeltaArray)
assert not isinstance(self.timedelta_index, gt.ABCTimedeltaArray)
Example #2
| Source File: excel.py From recruit with Apache License 2.0 | 5 votes |
|
def _format_regular_rows(self):
has_aliases = isinstance(self.header, (tuple, list, np.ndarray, Index))
if has_aliases or self.header:
self.rowcounter += 1
# output index and index_label?
if self.index:
# check aliases
# if list only take first as this is not a MultiIndex
if (self.index_label and
isinstance(self.index_label, (list, tuple, np.ndarray,
Index))):
index_label = self.index_label[0]
# if string good to go
elif self.index_label and isinstance(self.index_label, str):
index_label = self.index_label
else:
index_label = self.df.index.names[0]
if isinstance(self.columns, ABCMultiIndex):
self.rowcounter += 1
if index_label and self.header is not False:
yield ExcelCell(self.rowcounter - 1, 0, index_label,
self.header_style)
# write index_values
index_values = self.df.index
if isinstance(self.df.index, ABCPeriodIndex):
index_values = self.df.index.to_timestamp()
for idx, idxval in enumerate(index_values):
yield ExcelCell(self.rowcounter + idx, 0, idxval,
self.header_style)
coloffset = 1
else:
coloffset = 0
for cell in self._generate_body(coloffset):
yield cell
Example #3
| Source File: test_generic.py From vnpy_crypto with MIT License | 5 votes |
|
def test_abc_types(self):
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
assert isinstance(self.multi_index, gt.ABCMultiIndex)
assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
assert isinstance(self.period_index, gt.ABCPeriodIndex)
assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
assert isinstance(self.df, gt.ABCDataFrame)
with catch_warnings(record=True):
assert isinstance(self.df.to_panel(), gt.ABCPanel)
assert isinstance(self.sparse_series, gt.ABCSparseSeries)
assert isinstance(self.sparse_array, gt.ABCSparseArray)
assert isinstance(self.sparse_frame, gt.ABCSparseDataFrame)
assert isinstance(self.categorical, gt.ABCCategorical)
assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)
assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
assert isinstance(pd.Period('2012', freq='A-DEC').freq,
gt.ABCDateOffset)
assert not isinstance(pd.Period('2012', freq='A-DEC'),
gt.ABCDateOffset)
assert isinstance(pd.Interval(0, 1.5), gt.ABCInterval)
assert not isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCInterval)
Example #4
| Source File: test_generic.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_abc_types(self):
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
assert isinstance(self.multi_index, gt.ABCMultiIndex)
assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
assert isinstance(self.period_index, gt.ABCPeriodIndex)
assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
assert isinstance(self.df, gt.ABCDataFrame)
with catch_warnings(record=True):
simplefilter('ignore', FutureWarning)
assert isinstance(self.df.to_panel(), gt.ABCPanel)
assert isinstance(self.sparse_series, gt.ABCSparseSeries)
assert isinstance(self.sparse_array, gt.ABCSparseArray)
assert isinstance(self.sparse_frame, gt.ABCSparseDataFrame)
assert isinstance(self.categorical, gt.ABCCategorical)
assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)
assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
assert isinstance(pd.Period('2012', freq='A-DEC').freq,
gt.ABCDateOffset)
assert not isinstance(pd.Period('2012', freq='A-DEC'),
gt.ABCDateOffset)
assert isinstance(pd.Interval(0, 1.5), gt.ABCInterval)
assert not isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCInterval)
assert isinstance(self.datetime_array, gt.ABCDatetimeArray)
assert not isinstance(self.datetime_index, gt.ABCDatetimeArray)
assert isinstance(self.timedelta_array, gt.ABCTimedeltaArray)
assert not isinstance(self.timedelta_index, gt.ABCTimedeltaArray)
Example #5
| Source File: excel.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def _format_regular_rows(self):
has_aliases = isinstance(self.header, (tuple, list, np.ndarray, Index))
if has_aliases or self.header:
self.rowcounter += 1
# output index and index_label?
if self.index:
# check aliases
# if list only take first as this is not a MultiIndex
if (self.index_label and
isinstance(self.index_label, (list, tuple, np.ndarray,
Index))):
index_label = self.index_label[0]
# if string good to go
elif self.index_label and isinstance(self.index_label, str):
index_label = self.index_label
else:
index_label = self.df.index.names[0]
if isinstance(self.columns, ABCMultiIndex):
self.rowcounter += 1
if index_label and self.header is not False:
yield ExcelCell(self.rowcounter - 1, 0, index_label,
self.header_style)
# write index_values
index_values = self.df.index
if isinstance(self.df.index, ABCPeriodIndex):
index_values = self.df.index.to_timestamp()
for idx, idxval in enumerate(index_values):
yield ExcelCell(self.rowcounter + idx, 0, idxval,
self.header_style)
coloffset = 1
else:
coloffset = 0
for cell in self._generate_body(coloffset):
yield cell
Example #6
| Source File: interval.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _simple_new(cls, left, right, closed=None, name=None,
copy=False, verify_integrity=True):
result = IntervalMixin.__new__(cls)
if closed is None:
closed = 'right'
left = _ensure_index(left, copy=copy)
right = _ensure_index(right, copy=copy)
# coerce dtypes to match if needed
if is_float_dtype(left) and is_integer_dtype(right):
right = right.astype(left.dtype)
if is_float_dtype(right) and is_integer_dtype(left):
left = left.astype(right.dtype)
if type(left) != type(right):
raise ValueError("must not have differing left [{}] "
"and right [{}] types".format(
type(left), type(right)))
if isinstance(left, ABCPeriodIndex):
raise ValueError("Period dtypes are not supported, "
"use a PeriodIndex instead")
result._left = left
result._right = right
result._closed = closed
result.name = name
if verify_integrity:
result._validate()
result._reset_identity()
return result
Example #7
| Source File: test_generic.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_abc_types(self):
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
assert isinstance(self.multi_index, gt.ABCMultiIndex)
assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
assert isinstance(self.period_index, gt.ABCPeriodIndex)
assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
assert isinstance(self.df, gt.ABCDataFrame)
with catch_warnings(record=True):
assert isinstance(self.df.to_panel(), gt.ABCPanel)
assert isinstance(self.sparse_series, gt.ABCSparseSeries)
assert isinstance(self.sparse_array, gt.ABCSparseArray)
assert isinstance(self.categorical, gt.ABCCategorical)
assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)
assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
assert isinstance(pd.Period('2012', freq='A-DEC').freq,
gt.ABCDateOffset)
assert not isinstance(pd.Period('2012', freq='A-DEC'),
gt.ABCDateOffset)
Example #8
| Source File: interval.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def _simple_new(cls, left, right, closed=None, name=None,
copy=False, verify_integrity=True):
result = IntervalMixin.__new__(cls)
if closed is None:
closed = 'right'
left = _ensure_index(left, copy=copy)
right = _ensure_index(right, copy=copy)
# coerce dtypes to match if needed
if is_float_dtype(left) and is_integer_dtype(right):
right = right.astype(left.dtype)
if is_float_dtype(right) and is_integer_dtype(left):
left = left.astype(right.dtype)
if type(left) != type(right):
raise ValueError("must not have differing left [{}] "
"and right [{}] types".format(
type(left), type(right)))
if isinstance(left, ABCPeriodIndex):
raise ValueError("Period dtypes are not supported, "
"use a PeriodIndex instead")
result._left = left
result._right = right
result._closed = closed
result.name = name
if verify_integrity:
result._validate()
result._reset_identity()
return result
Example #9
| Source File: test_generic.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_abc_types(self):
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
assert isinstance(self.multi_index, gt.ABCMultiIndex)
assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
assert isinstance(self.period_index, gt.ABCPeriodIndex)
assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
assert isinstance(self.df, gt.ABCDataFrame)
with catch_warnings(record=True):
assert isinstance(self.df.to_panel(), gt.ABCPanel)
assert isinstance(self.sparse_series, gt.ABCSparseSeries)
assert isinstance(self.sparse_array, gt.ABCSparseArray)
assert isinstance(self.sparse_frame, gt.ABCSparseDataFrame)
assert isinstance(self.categorical, gt.ABCCategorical)
assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)
assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
assert isinstance(pd.Period('2012', freq='A-DEC').freq,
gt.ABCDateOffset)
assert not isinstance(pd.Period('2012', freq='A-DEC'),
gt.ABCDateOffset)
assert isinstance(pd.Interval(0, 1.5), gt.ABCInterval)
assert not isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCInterval)
Example #10
| Source File: interval.py From vnpy_crypto with MIT License | 4 votes |
|
def _simple_new(cls, left, right, closed=None, name=None, copy=False,
dtype=None, verify_integrity=True):
result = IntervalMixin.__new__(cls)
closed = closed or 'right'
left = _ensure_index(left, copy=copy)
right = _ensure_index(right, copy=copy)
if dtype is not None:
# GH 19262: dtype must be an IntervalDtype to override inferred
dtype = pandas_dtype(dtype)
if not is_interval_dtype(dtype):
msg = 'dtype must be an IntervalDtype, got {dtype}'
raise TypeError(msg.format(dtype=dtype))
elif dtype.subtype is not None:
left = left.astype(dtype.subtype)
right = right.astype(dtype.subtype)
# coerce dtypes to match if needed
if is_float_dtype(left) and is_integer_dtype(right):
right = right.astype(left.dtype)
elif is_float_dtype(right) and is_integer_dtype(left):
left = left.astype(right.dtype)
if type(left) != type(right):
msg = ('must not have differing left [{ltype}] and right '
'[{rtype}] types')
raise ValueError(msg.format(ltype=type(left).__name__,
rtype=type(right).__name__))
elif is_categorical_dtype(left.dtype) or is_string_dtype(left.dtype):
# GH 19016
msg = ('category, object, and string subtypes are not supported '
'for IntervalIndex')
raise TypeError(msg)
elif isinstance(left, ABCPeriodIndex):
msg = 'Period dtypes are not supported, use a PeriodIndex instead'
raise ValueError(msg)
elif (isinstance(left, ABCDatetimeIndex) and
str(left.tz) != str(right.tz)):
msg = ("left and right must have the same time zone, got "
"'{left_tz}' and '{right_tz}'")
raise ValueError(msg.format(left_tz=left.tz, right_tz=right.tz))
result._left = left
result._right = right
result._closed = closed
result.name = name
if verify_integrity:
result._validate()
result._reset_identity()
return result
