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Created 2 years ago
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import warnings
warnings.filterwarnings("ignore")
data=pd.read_csv('UNRATE.csv',header=None)
data.columns=['Month', 'UNRATE']
data.head(25)
data['Month']=pd.to_datetime(data['Month'], format='%m-%d-%Y')
data.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 867 entries, 0 to 866
Data columns (total 2 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Month 867 non-null datetime64[ns]
1 UNRATE 867 non-null float64
dtypes: datetime64[ns](1), float64(1)
memory usage: 13.7 KB
train_len=612
train=data[:train_len]
test=data[train_len:]