30 lines
643 B
Python
30 lines
643 B
Python
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import pandas
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from fincal.fincal import TimeSeries
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dfd = pandas.read_csv('test_files/nav_history_daily - Copy.csv')
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dfm = pandas.read_csv('test_files/nav_history_monthly.csv')
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data_d = [(i.date, i.nav) for i in dfd.itertuples() if i.amfi_code == 118825]
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data_d.sort()
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data_m = [{'date': i.date, 'value': i.nav} for i in dfm.itertuples()]
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tsd = TimeSeries(data_d, frequency='D')
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md = dict(data_d)
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counter = 1
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for i in iter(md):
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print(i)
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counter += 1
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if counter >= 5: break
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print('\n')
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counter = 1
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for i in reversed(md):
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print('rev', i)
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counter += 1
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if counter >= 5: break
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x = [next(i) for i in iter(md)]
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print(x)
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