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import pandas as pd
from pandas import Series, DataFrame, Period, Timestamp
import numpy as np
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p = Period(2007, freq='A-DEC') # an interval from Jan 1 to Dec 31, 2007
p
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p + 5
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p - 2
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p - Period(2000, freq='A-DEC')
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rng_years = pd.period_range('1/1/2000', '1/1/2018', freq='Y')
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rng_years
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rng_months = pd.period_range('1/1/2000', '1/1/2018', freq='M')
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rng_months
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type(rng_months)
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s = Series(np.random.randn(len(rng_years)), index=rng_years)
s
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s.index
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rng_years
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rng_years.asfreq('M', how='start')
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rng_years.asfreq('M', how='end')
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rng_years.asfreq('D', how='end')
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rng_months.asfreq('D', how='end')
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fiscal_year = Period('2007', freq='A-JUN')
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fiscal_year.asfreq('M', 'start')
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fiscal_year.asfreq('M', 'end')
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fiscal_year.asfreq('D', 'start')
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fiscal_year.asfreq('D', 'end')
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p = Period('2018Q4', freq='Q-JAN')
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p
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p.asfreq('D', 'start')
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p.asfreq('D', 'end')
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p.asfreq('Y', 'start')
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p.asfreq('M', 'start')
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p.asfreq('M', 'start') + 3
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p.asfreq('Q-JAN', 'start')
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p.asfreq('Q-JAN', 'end')
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p.asfreq('Q', 'end')
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rng = pd.date_range('1/1/2018', periods=6, freq='M')
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rng
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ts = Series(np.random.randn(6), index=rng)
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ts
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pts = ts.to_period()
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pts
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rng = pd.date_range('1/28/2018', periods=10, freq='D')
ts2 = Series(np.random.randn(len(rng)), index=rng)
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ts2
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ts2.to_period('M')
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pts
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pts.to_timestamp(how='end')
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pts.to_timestamp(how='start')
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pts2 = ts2.to_period('M')
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pts2
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pts2.to_timestamp(how='end')
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ts
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%matplotlib inline
ts.plot(kind="bar")
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ts.plot(kind="line")