def load_pandas():
data = _get_data()
index = pd.date_range(start=str(data['date'][0]),
periods=len(data),
freq='W-SAT')
dataset = data[['co2']]
dataset.index = index
return du.Dataset(data=dataset, names=list(data.columns))
def load_pandas():
data = _get_data()
# TODO: time series
endog = pd.Series(data['volume'], index=data['year'].astype(int))
dataset = du.Dataset(data=data,
names=list(data.columns),
endog=endog,
endog_name='volume')
return dataset
def load_pandas():
data = _get_data()
# TODO: time series
endog = data.set_index(data.YEAR).SUNACTIVITY
dataset = du.Dataset(data=data,
names=list(data.columns),
endog=endog,
endog_name='volume')
return dataset
def load():
"""
Load the China smoking/lung cancer data and return a Dataset class.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
"""
recarray = load_pandas().data.to_records()
return utils.Dataset(data=recarray, title="Smoking and lung cancer in Chinese regions")
def load():
"""
Load the data and return a Dataset class instance.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
"""
data = _get_data()
names = data.dtype.names
return du.Dataset(data=data, names=names)
def load_pandas():
"""
Load the China smoking/lung cancer data and return a Dataset class.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
"""
filepath = os.path.dirname(os.path.abspath(__file__))
data = pd.read_csv(os.path.join(filepath + '/china_smoking.csv'), index_col="Location")
return utils.Dataset(data=data, title="Smoking and lung cancer in Chinese regions")
def load_pandas():
"""
Load the China smoking/lung cancer data and return a Dataset class.
Returns
-------
Dataset
See DATASET_PROPOSAL.txt for more information.
"""
raw_data = du.load_csv(__file__, 'china_smoking.csv')
data = raw_data.set_index('Location')
dset = du.Dataset(data=data, title="Smoking and lung cancer in Chinese regions")
dset.raw_data = raw_data
return dset
def load():
"""
Load the data and return a Dataset class instance.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
"""
data = _get_data()
names = data.columns.tolist()
dtype = zip(names, ['a45', 'a3', 'a40', 'a14'] + ['<f8'] * 54)
data = map(tuple, data.values.tolist())
dataset = du.Dataset(data=np.array(data, dtype=dtype), names=names)
return dataset
def load_pandas():
data = _get_data()
dataset = du.Dataset(data=data, names=list(data.columns))
return dataset
def load_pandas():
data = _get_data()
names = data.columns
dataset = du.Dataset(data=data, names=names)
return dataset
def load_pandas():
data = _get_data()
return du.Dataset(data=data)
def load_pandas():
data = _get_data()
data.index.freq = "QS-JAN"
return du.Dataset(data=data, names=list(data.columns))
