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import pandas as pd
import numpy as np
import AutoForecast as autof
import TS_datasets as tsds

%matplotlib inline


    

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b1 = tsds.load_cashflows()
df = b1.mPastData


    

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df.head()


    

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lTime = df['Date']


    

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lTimeBefore = lTime.shift(1)


    

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lTime.describe()


    

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lTimeBefore.describe()


    

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lDelta = lTime - lTimeBefore


    

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lDelta.describe()


    

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delta_counts = pd.DataFrame(lDelta.value_counts())


    

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d1 = delta_counts['Date']


    

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d1.argmax()


    

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lTime.head(12)


    

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import datetime as dt
lNextBD = lTime.apply(lambda x : x + dt.timedelta(days = [1, 1, 1, 1, 3, 2, 1][x.weekday()]))


    

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df= pd.DataFrame()
df['T1'] = lTime
df['T1_NextBD'] = lNextBD

df.head(15)


    

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import pandas as pd
import numpy as np
import datetime
from SignalDecomposition import SignalDecomposition_Perf as tsperf


    

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a = pd.DataFrame()
a['www'] = range(0, 1223);
a.shape


    

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p = tsperf.cPerf();
p.compute(a['www'] , a['www'], "indetical")
p


    

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p.__dict__


    

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