33 lines
838 B
Python
33 lines
838 B
Python
"""
|
|
Monthly totals of a airline passengers from USA, from January 1949 through December 1960.
|
|
|
|
Source: Hyndman, R.J., Time Series Data Library, http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/.
|
|
"""
|
|
|
|
from pyFTS.data import common
|
|
import pandas as pd
|
|
import numpy as np
|
|
|
|
|
|
def get_data():
|
|
"""
|
|
Get a simple univariate time series data.
|
|
|
|
:return: numpy array
|
|
"""
|
|
dat = get_dataframe()
|
|
dat = np.array(dat["Passengers"])
|
|
return dat
|
|
|
|
def get_dataframe():
|
|
"""
|
|
Get the complete multivariate time series data.
|
|
|
|
:return: Pandas DataFrame
|
|
"""
|
|
dat = common.get_dataframe('AirPassengers.csv',
|
|
'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/AirPassengers.csv',
|
|
sep=",")
|
|
return dat
|
|
|