def __init__(self, times, values, id=None):
"""
Parameters:
----------
values : sequence-like
Actual data points for SMTimeSeries.
Any user-provided sequence-like object. Mandatory.
times : sequence-like
Time values for SMTimeSeries. Mandatory
Notes
-----
PRE: _times are mandatory elements that must represent a montonic sequence.
Examples:
---------
>>> ts = SMTimeSeries(times= [1,2,3], values= [100,200,300])
"""
self.__class__.is_sequence(times)
self.__class__.is_sequence(values)
self._times = (list(times))
if isinstance(values, dict):
self._values = (list(values.values()))
else:
self._values = (list(values))
# if no id is provided, create a new and unique one
if id == None:
id = FileStorageManagerSingleton.get_unique_id()
# store the time series on disk
FileStorageManagerSingleton.store(
str(id), ArrayTimeSeries(self._times, self._values))
self._id = str(id)
def __mul__(self, rhs):
"""
The rhs argument will be multiplied with each element of the time series if it is an instance of numbers.Real.
If the rhs argument is an instance of SMTimeSeries, it will do the multiplication element-wise.
Parameters:
-----------
rhs : instance of SizedContainerTimeSeriesInterface
used to perform the multiplication on the SMTimeSeries represented by self
Raises:
-------
TypeError : if an attempt to multiply with a list instance to the SMTimeSeries is made
"""
try:
if isinstance(rhs, list):
raise "Cannot compare list to SMTimeSeries!"
if isinstance(rhs, numbers.Real):
ts1 = FileStorageManagerSingleton.get(self._id)
product = ts1 * rhs
return SMTimeSeries(product.times(), product.values())
else:
ts1 = FileStorageManagerSingleton.get(self._id)
ts2 = FileStorageManagerSingleton.get(rhs._id)
product = ts1 * ts2
return SMTimeSeries(product.times(), product.values())
except TypeError:
raise NotImplemented
def __eq__(self, rhs):
"""
Method used to test if two SizedContainerTimeSeriesInterface instances have the same times and values
Parameters:
-----------
rhs : instance of SizedContainerTimeSeriesInterface
rhs will be compared to the time series sequence represented by self
Returns:
--------
bool : True if the series are equivalent
"""
ts1 = FileStorageManagerSingleton.get(self._id)
ts2 = FileStorageManagerSingleton.get(rhs._id)
return ts1 == ts2
def __setitem__(self, index, value):
"""
Description
-----------
Sets the element of `self._values`
at index `index` equal to `value`.
Parameters
----------
self: instance of subclass of SizedContainerTimeSeriesInterface
index: int
index to change the value at
value : float
the new value to be set
"""
ts = FileStorageManagerSingleton.get(self._id)
ts[index] = value
FileStorageManagerSingleton.store(self._id, ts)
def __repr__(self):
"""
Description
-----------
Internal String representation for all subclasses of
SizedContainerTimeSeriesInstance
"""
ts = FileStorageManagerSingleton.get(self._id)
return repr(ts)
def __pos__(self):
"""
Used to return a time series instance with each value's sign preserved
Returns:
-------
self : an instance of self with each value's sign preserved
"""
ts = FileStorageManagerSingleton.get(self._id)
return SMTimeSeries(ts.times(), ts.values())
def __neg__(self):
"""
Used to return a time series instance with each value being negative of the original.
The times are left untouched.
Returns:
-------
self : an instance of self with negated values but no change to the times
"""
ts = FileStorageManagerSingleton.get(self._id)
return SMTimeSeries(ts.times(), -ts.values())
def __len__(self):
"""
Method used to determine the length of the SMTimeSeries
Returns:
--------
length : int
The length of the ArrayTimeSeries based on the ._values field.
"""
ts = FileStorageManagerSingleton.get(self._id)
return len(ts.values())
def __iter__(self):
"""
Description
-----------
Iterates over `self._values`.
Equivalent to calling iter() on the instance.
Parameters
----------
self: instance of subclass of SizedContainerTimeSeriesInterface
"""
ts = FileStorageManagerSingleton.get(self._id)
return iter(ts)
def mean(self, chunk=None):
"""
Method used to calculate the mean of the time series.
Parameters:
-----------
chunk = an optional subset of the time series to do the calculation on
Returns:
--------
np.mean : the mean of the time series
"""
ts = FileStorageManagerSingleton.get(self._id)
return np.mean(ts._values)
def std(self, chunk=None):
"""
Method used to calculate the standard deviation of the time series.
Parameters:
-----------
chunk = an optional subset of the time series to do the calculation on
Returns:
--------
np.std : the standard deviation of the time series
"""
ts = FileStorageManagerSingleton.get(self._id)
return np.std(ts._values, ddof=1)
def from_db(cls, id):
"""
A method with an id to look up and fetch from the storage manager,
having the manager allocate the time series in memory.
Parameters:
----------
id : int
the id used to get the time series from the database.
Returns:
-------
SMTimeSeries : an in memory instance of the time series associated with the
provided id.
"""
return FileStorageManagerSingleton.get(id)
def __bool__(self):
"""
Description
-----------
Checks if `self._values` is empty.
Parameters
----------
self: instance of subclass of SizedContainerTimeSeriesInterface
Returns
-------
True/False
"""
ts = FileStorageManagerSingleton.get(self._id)
return bool(abs(ts))
def interpolate(self, newTimes):
"""
Returns new SMTimeSeries instance with piecewise-linear-interpolated values
for submitted time-times.If called times are outside of the domain of the existing
SM Time Series, the minimum or maximum values are returned.
Parameters
----------
self: TimeSeries instance
ts_to_interpolate: list or other sequence of times to be interpolated
"""
ts = FileStorageManagerSingleton.get(self._id)
arrayinterpolate = ts.interpolate(newTimes)
return SMTimeSeries(arrayinterpolate.times(),
arrayinterpolate.values())
def itertimes(self):
"""
Description
------------
Iterates over the times in `self._times`
Parameters
----------
self: instance of subclass of SizedTimeSeriesInterface
Returns
-------
Yields values from `self._times`
"""
ts = FileStorageManagerSingleton.get(self._id)
return ts.itertimes()
def iteritems(self):
"""
Description
------------
Iterates over (time, value) tuples of the time series
Parameters
----------
self: instance of subclass of SizedTimeSeriesInterface
Returns
-------
Yields (time, value) tuples
"""
ts = FileStorageManagerSingleton.get(self._id)
return ts.iteritems()
def __getitem__(self, index):
"""
Description
-----------
Instance method for indexing into a fixed-size Time Series.
Parameters
----------
self: instance of subclass of SizedContainerTimeSeriesInterface
Returns
-------
The value of `self._values` located at index `index`.
"""
ts = FileStorageManagerSingleton.get(self._id)
return ts[index]
def __contains__(self, needle):
"""
Description
-----------
Checks if `needle` is contained in `self._values`
Parameters
----------
self: instance of subclass of SizedContainerTimeSeriesInterface
needle: float
Time series value to search for
Returns
-------
True if `needle` found in `self._values`, else False
"""
ts = FileStorageManagerSingleton.get(self._id)
return (needle in ts)
def __str__(self):
"""
Description
-----------
Instance method for pretty-printing the time series contents.
Parameters
----------
self: instance of subclass of SizedContainerTimeSeriesInterface
Returns
-------
pretty_printed: string
an end-user-friendly printout of the time series.
If `len(self._values) > MAX_LENGTH`, printout abbreviated
using an ellipsis: `['1.0','2.0','3.0', ..., '8.0','9.0','10.0']`.
"""
ts = FileStorageManagerSingleton.get(self._id)
return str(ts)
def itervalues(self):
"""
Description
------------
Iterates over the values of the time eries
Parameters
----------
self: instance of subclass of SizedTimeSeriesInterface
Returns
-------
Yields values from `self._values`
Notes
-----
Identical to iter(self)
"""
ts = FileStorageManagerSingleton.get(self._id)
return ts.itervalues()
def __abs__(self):
"""
Description
-----------
Returns the L2-norm of `self._values`
Parameters
----------
self: instance of subclass of SizedContainerTimeSeriesInterface
Returns
-------
L2-norm as a float
Notes
-----
Casts `self._values` into a np-array for fasted norm calcualtion.
This won't impact the final return value, as it is a float.
"""
ts = FileStorageManagerSingleton.get(self._id)
return abs(ts)
def items(self):
"""Returns list of zipped time-value tuples for use in unit tests"""
ts = FileStorageManagerSingleton.get(self._id)
return ts.items()
def times(self):
"""Return times for use in unit tests"""
ts = FileStorageManagerSingleton.get(self._id)
return ts.times()