def load_data(self, php_resp_time, cpu_load):
if (len(php_resp_time) != len(cpu_load)):
self.logger.info("load_data: data arrays must have the same number of elements.")
data = []
year = 1921
for i in range(len(php_resp_time)):
data.append({'year': year + i, 'value': php_resp_time[i], 'value2': cpu_load[i]})
names = ('year', 'value', 'value2')
dataset = Dataset(data=data, names=names)
dataset.data = DataFrame(dataset.data)
return dataset
def load_pandas():
data = DataFrame(_get_data())
# TODO: time series
endog = Series(data['volume'], index=data['year'].astype(int))
dataset = Dataset(data=data, names=list(data.columns),
endog=endog, endog_name='volume')
return dataset
def load():
"""
Load the Nile data and return a Dataset class instance.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
"""
data = _get_data()
names = list(data.dtype.names)
endog_name = 'volume'
endog = array(data[endog_name], dtype=float)
dataset = Dataset(data=data, names=[endog_name], endog=endog,
endog_name=endog_name)
return dataset
def load():
"""
Load the El Nino data and return a Dataset class.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
Notes
-----
The elnino Dataset instance does not contain endog and exog attributes.
"""
data = _get_data()
names = data.dtype.names
dataset = Dataset(data=data, names=names)
return dataset
def load():
"""
Load the yearly sunspot data and returns a data class.
Returns
--------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
Notes
-----
This dataset only contains data for one variable, so the attributes
data, raw_data, and endog are all the same variable. There is no exog
attribute defined.
"""
data = _get_data()
endog_name = 'SUNACTIVITY'
endog = array(data[endog_name], dtype=float)
dataset = Dataset(data=data,
names=[endog_name],
endog=endog,
endog_name=endog_name)
return dataset
