test files
This commit is contained in:
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4173736014
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f48d79afb9
29
dict_iter.py
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29
dict_iter.py
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@ -0,0 +1,29 @@
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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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@ -1,7 +1,6 @@
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import datetime
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from dataclasses import dataclass
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from msilib import sequence
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from typing import Dict, Iterable, List, Literal, Mapping, Sequence, Tuple, Union
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from typing import Iterable, List, Literal, Mapping, Sequence, Tuple, Union
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@dataclass
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@ -134,7 +133,9 @@ class TimeSeriesCore:
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def __repr__(self):
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if len(self.time_series) > 6:
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printable_data_1 = list(self.time_series)[:3]
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iter_f = iter(self.time_series)
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iter_b = reversed(self.time_series)
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printable_data_1 = [next(i) for i in iter(dict)]
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printable_data_2 = list(self.time_series)[-3:]
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printable_str = "TimeSeries([{}\n\t...\n\t{}])".format(
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',\n\t'.join([str((i, self.time_series[i])) for i in printable_data_1]),
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@ -160,7 +161,7 @@ class TimeSeriesCore:
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return printable_str
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def __getitem__(self, n):
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all_keys = list(self.time_series.keys())
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all_keys = list(self.time_series)
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if isinstance(n, int):
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keys = [all_keys[n]]
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else:
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@ -172,7 +173,7 @@ class TimeSeriesCore:
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return item
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def __len__(self):
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return len(self.time_series.keys())
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return len(self.time_series)
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def head(self, n: int = 6):
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keys = list(self.time_series.keys())
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23
my_test.py
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23
my_test.py
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@ -0,0 +1,23 @@
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import time
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import pandas
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from fincal.fincal import AllFrequencies, Frequency, TimeSeries, create_date_series
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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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dfq = pandas.read_csv('test_files/nav_history_quarterly.csv')
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data_d = [(i.date, i.nav) for i in dfd.itertuples()]
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data_m = [{'date': i.date, 'value': i.nav} for i in dfm.itertuples()]
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data_q = {i.date: i.nav for i in dfq.itertuples()}
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tsd = TimeSeries(data_d, frequency='D')
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tsm = TimeSeries(data_m, frequency='M', date_format='%d-%m-%Y')
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tsq = TimeSeries(data_q, frequency='Q', date_format='%d-%m-%Y')
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start = time.time()
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# ts.calculate_rolling_returns(datetime.datetime(2015, 1, 1), datetime.datetime(2022, 2, 1), years=1)
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# fdata = tsd.ffill()
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# rr = tsd.calculate_rolling_returns(datetime.datetime(2022, 1, 1), datetime.datetime(2022, 2, 1), years=1)
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print(time.time() - start)
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4403
test_files/nav_history_daily - Copy.csv
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4403
test_files/nav_history_daily - Copy.csv
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File diff suppressed because it is too large
Load Diff
139
test_files/nav_history_daily.csv
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139
test_files/nav_history_daily.csv
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@ -0,0 +1,139 @@
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amfi_code,date,nav
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118825,01-11-2021,87.925
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119528,02-11-2021,378.51
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118825,02-11-2021,87.885
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119528,03-11-2021,377.79
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118825,03-11-2021,87.553
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119528,08-11-2021,383.13
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118825,08-11-2021,88.743
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119528,09-11-2021,383.06
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118825,09-11-2021,88.793
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119528,10-11-2021,382.71
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118825,10-11-2021,88.723
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118825,10-11-2021,88.78
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119528,11-11-2021,379.28
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118825,11-11-2021,88.205
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119528,12-11-2021,383.94
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118825,12-11-2021,89.025
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119528,15-11-2021,383.31
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118825,15-11-2021,89.182
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119528,16-11-2021,381.08
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118825,16-11-2021,88.569
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119528,17-11-2021,379.17
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118825,17-11-2021,88.09
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119528,18-11-2021,375.09
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118825,18-11-2021,87.202
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119528,22-11-2021,368.16
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118825,22-11-2021,85.382
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119528,23-11-2021,370.64
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118825,23-11-2021,85.978
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119528,24-11-2021,369.91
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118825,24-11-2021,85.635
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119528,25-11-2021,371.33
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118825,25-11-2021,86.212
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119528,26-11-2021,360.66
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118825,26-11-2021,83.748
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119528,29-11-2021,360.05
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118825,29-11-2021,83.523
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119528,30-11-2021,359.8
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118825,30-11-2021,83.475
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119528,01-12-2021,362.35
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118825,01-12-2021,84.269
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119528,02-12-2021,366.09
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118825,02-12-2021,85.105
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119528,03-12-2021,363.11
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118825,03-12-2021,84.507
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119528,06-12-2021,357.21
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118825,06-12-2021,83.113
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119528,07-12-2021,362.63
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118825,07-12-2021,84.429
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119528,08-12-2021,368.73
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118825,08-12-2021,85.935
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119528,09-12-2021,369.49
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118825,09-12-2021,86.045
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119528,10-12-2021,369.44
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118825,10-12-2021,86.058
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119528,13-12-2021,367.6
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118825,13-12-2021,85.632
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119528,14-12-2021,366.36
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118825,14-12-2021,85.502
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119528,15-12-2021,364.34
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118825,15-12-2021,84.989
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119528,16-12-2021,363.73
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118825,16-12-2021,84.972
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119528,17-12-2021,358.17
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118825,17-12-2021,83.83
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119528,20-12-2021,349.98
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118825,20-12-2021,81.817
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119528,21-12-2021,353.71
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118825,21-12-2021,82.746
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119528,22-12-2021,357.93
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118825,22-12-2021,83.776
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119528,23-12-2021,360.68
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118825,23-12-2021,84.297
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119528,24-12-2021,359.11
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118825,24-12-2021,83.903
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119528,27-12-2021,360.71
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118825,27-12-2021,84.227
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119528,28-12-2021,363.81
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118825,28-12-2021,85.044
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119528,29-12-2021,363.2
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118825,29-12-2021,85.03
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119528,30-12-2021,363.31
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118825,30-12-2021,85.047
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119528,31-12-2021,366.98
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118825,31-12-2021,85.759
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119528,03-01-2022,371.76
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118825,03-01-2022,87.111
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119528,04-01-2022,374.22
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118825,04-01-2022,87.804
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119528,05-01-2022,376.31
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118825,05-01-2022,88.162
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119528,06-01-2022,373.64
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118825,06-01-2022,87.541
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119528,07-01-2022,374.68
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118825,07-01-2022,87.818
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119528,10-01-2022,378.47
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118825,10-01-2022,88.622
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119528,11-01-2022,379.34
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118825,11-01-2022,88.678
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119528,12-01-2022,382.86
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118825,12-01-2022,89.332
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119528,13-01-2022,383.68
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118825,13-01-2022,89.553
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119528,14-01-2022,384.02
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118825,14-01-2022,89.729
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119528,17-01-2022,384.36
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118825,17-01-2022,89.733
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119528,18-01-2022,380
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118825,18-01-2022,88.781
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119528,19-01-2022,377.24
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118825,19-01-2022,88.059
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119528,20-01-2022,374.45
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118825,20-01-2022,87.361
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119528,21-01-2022,369.86
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118825,21-01-2022,86.22
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119528,24-01-2022,361.01
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118825,24-01-2022,83.907
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119528,25-01-2022,364.63
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118825,25-01-2022,84.763
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119528,27-01-2022,361.95
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118825,27-01-2022,83.876
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119528,28-01-2022,361.91
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118825,28-01-2022,83.829
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119528,31-01-2022,367.31
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118825,31-01-2022,85.18
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119528,04-02-2022,371.01
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118825,04-02-2022,86.079
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119528,07-02-2022,365.04
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118825,07-02-2022,84.867
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119528,08-02-2022,365.74
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118825,08-02-2022,84.945
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119528,09-02-2022,369.85
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118825,09-02-2022,85.977
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119528,10-02-2022,372.29
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118825,10-02-2022,86.5
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119528,11-02-2022,366.91
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118825,11-02-2022,85.226
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119528,14-02-2022,355.47
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118825,14-02-2022,82.533
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219
test_files/nav_history_monthly - Copy.csv
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219
test_files/nav_history_monthly - Copy.csv
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@ -0,0 +1,219 @@
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"amfi_code","date","nav"
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118825,2013-01-31,18.913
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118825,2013-02-28,17.723
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118825,2013-03-28,17.563
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118825,2013-04-30,18.272
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118825,2013-05-31,18.383
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118825,2013-06-28,17.802
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118825,2013-07-31,17.588
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118825,2013-08-30,16.993
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118825,2013-09-30,17.732
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118825,2013-10-31,19.665
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118825,2013-11-29,19.787
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118825,2013-12-31,20.499
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118825,2014-01-31,19.994
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118825,2014-02-28,20.942
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118825,2014-03-31,22.339
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118825,2014-04-30,22.599
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118825,2014-05-30,24.937
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118825,2014-06-30,27.011
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118825,2014-07-31,27.219
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118825,2014-08-28,28.625
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118825,2014-09-30,29.493
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118825,2014-10-31,30.685
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118825,2014-11-28,31.956
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118825,2014-12-31,31.646
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118825,2015-01-30,33.653
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118825,2015-02-27,33.581
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118825,2015-03-31,33.14
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118825,2015-04-30,32.181
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118825,2015-05-29,33.256
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118825,2015-06-30,33.227
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118825,2015-07-31,34.697
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118825,2015-08-31,32.833
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118825,2015-09-30,32.94
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118825,2015-10-30,33.071
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118825,2015-11-30,33.024
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118825,2015-12-31,33.267
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118825,2016-01-29,31.389
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118825,2016-02-29,28.751
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118825,2016-03-31,32.034
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118825,2016-04-29,32.848
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118825,2016-05-31,34.135
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118825,2016-06-30,35.006
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118825,2016-07-29,37.148
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118825,2016-08-31,38.005
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||||
118825,2016-09-30,37.724
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118825,2016-10-28,38.722
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118825,2016-11-30,36.689
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118825,2016-12-30,36.239
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118825,2017-01-31,38.195
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118825,2017-02-28,39.873
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118825,2017-03-31,41.421
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118825,2017-04-28,42.525
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||||
118825,2017-05-31,43.977
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118825,2017-06-30,43.979
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118825,2017-07-31,46.554
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||||
118825,2017-08-31,46.383
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118825,2017-09-29,46.085
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118825,2017-10-31,48.668
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118825,2017-11-30,48.824
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118825,2017-12-29,50.579
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118825,2018-01-31,51.799
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118825,2018-02-28,49.041
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||||
118825,2018-03-28,46.858
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||||
118825,2018-04-30,49.636
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||||
118825,2018-05-31,49.169
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118825,2018-06-29,48.716
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||||
118825,2018-07-31,51.455
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118825,2018-08-31,53.494
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||||
118825,2018-09-28,49.863
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||||
118825,2018-10-31,48.538
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||||
118825,2018-11-30,50.597
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||||
118825,2018-12-31,50.691
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||||
118825,2019-01-31,50.517
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118825,2019-02-28,50.176
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||||
118825,2019-03-31,54.017
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118825,2019-04-30,54.402
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||||
118825,2019-05-31,55.334
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||||
118825,2019-06-28,55.181
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||||
118825,2019-07-31,52.388
|
||||
118825,2019-08-30,52.214
|
||||
118825,2019-09-30,54.058
|
||||
118825,2019-10-31,56.514
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||||
118825,2019-11-29,57.42
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||||
118825,2019-12-31,57.771
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||||
118825,2020-01-31,57.135
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||||
118825,2020-02-28,54.034
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||||
118825,2020-03-31,41.452
|
||||
118825,2020-04-30,47.326
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||||
118825,2020-05-29,45.845
|
||||
118825,2020-06-30,49.526
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||||
118825,2020-07-31,53.306000000000004
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||||
118825,2020-08-19,55.747
|
||||
118825,2020-10-30,56.387
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||||
118825,2020-11-27,62.001000000000005
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||||
118825,2020-12-31,66.415
|
||||
118825,2021-01-29,65.655
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||||
118825,2021-02-26,70.317
|
||||
118825,2021-03-31,70.69
|
||||
118825,2021-04-30,70.39
|
||||
118825,2021-05-31,74.85
|
||||
118825,2021-06-30,77.109
|
||||
118825,2021-07-30,78.335
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||||
118825,2021-08-31,83.691
|
||||
118825,2021-09-30,86.128
|
||||
118825,2021-10-29,86.612
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||||
118825,2021-11-30,83.475
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||||
118825,2021-12-31,85.759
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||||
118825,2022-01-31,85.18
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||||
118825,2022-02-17,84.33
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119528,2013-01-31,101.36
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||||
119528,2013-02-28,95.25
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||||
119528,2013-03-28,94.81
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||||
119528,2013-04-30,99.75
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||||
119528,2013-05-31,99.73
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||||
119528,2013-06-28,97.52
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||||
119528,2013-07-31,95.37
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||||
119528,2013-08-30,92.24
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||||
119528,2013-09-30,97.45
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||||
119528,2013-10-31,107.03
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||||
119528,2013-11-29,105.91
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||||
119528,2013-12-31,109.3
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||||
119528,2014-01-31,105.09
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||||
119528,2014-02-28,108.58
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||||
119528,2014-03-31,117.28
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||||
119528,2014-04-30,118.06
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||||
119528,2014-05-30,131.33
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||||
119528,2014-06-30,139.48
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||||
119528,2014-07-31,140.49
|
||||
119528,2014-08-28,145.43
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||||
119528,2014-09-30,147.4
|
||||
119528,2014-10-31,154.46
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||||
119528,2014-11-28,161.93
|
||||
119528,2014-12-31,159.62
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119528,2015-01-30,170.46
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||||
119528,2015-02-27,171.18
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119528,2015-03-31,166.8
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||||
119528,2015-04-30,161.95
|
||||
119528,2015-05-29,166.78
|
||||
119528,2015-06-30,166.67
|
||||
119528,2015-07-31,172.33
|
||||
119528,2015-08-31,161.96
|
||||
119528,2015-09-30,162.25
|
||||
119528,2015-10-30,164.16
|
||||
119528,2015-11-30,162.7
|
||||
119528,2015-12-31,162.83
|
||||
119528,2016-01-29,155.87
|
||||
119528,2016-02-29,144.56
|
||||
119528,2016-03-31,159.88
|
||||
119528,2016-04-29,163.54
|
||||
119528,2016-05-31,170.01
|
||||
119528,2016-06-30,174.61
|
||||
119528,2016-07-29,184.36
|
||||
119528,2016-08-31,189.33
|
||||
119528,2016-09-30,187.16
|
||||
119528,2016-10-28,189.29
|
||||
119528,2016-11-30,178.19
|
||||
119528,2016-12-30,176.66
|
||||
119528,2017-01-31,185.76
|
||||
119528,2017-02-28,193.2
|
||||
119528,2017-03-31,200.54
|
||||
119528,2017-04-28,205.25
|
||||
119528,2017-05-31,208.22
|
||||
119528,2017-06-30,209.83
|
||||
119528,2017-07-31,221.15
|
||||
119528,2017-08-31,219.99
|
||||
119528,2017-09-29,217.7
|
||||
119528,2017-10-31,226.94
|
||||
119528,2017-11-30,225.24
|
||||
119528,2017-12-29,233.26
|
||||
119528,2018-01-31,237.57
|
||||
119528,2018-02-28,226.55
|
||||
119528,2018-03-28,219.73
|
||||
119528,2018-04-30,232.04
|
||||
119528,2018-05-31,228.49
|
||||
119528,2018-06-29,225.27
|
||||
119528,2018-07-31,237.11
|
||||
119528,2018-08-31,243.79
|
||||
119528,2018-09-28,223.83
|
||||
119528,2018-10-31,218.61
|
||||
119528,2018-11-30,226.99
|
||||
119528,2018-12-31,228.61
|
||||
119528,2019-01-31,224.26
|
||||
119528,2019-02-28,222.71
|
||||
119528,2019-03-29,240.21
|
||||
119528,2019-04-30,240.01
|
||||
119528,2019-05-31,243.72
|
||||
119528,2019-06-28,241.28
|
||||
119528,2019-07-31,229.54
|
||||
119528,2019-08-30,226.0
|
||||
119528,2019-09-30,234.75
|
||||
119528,2019-10-31,242.11
|
||||
119528,2019-11-29,246.75
|
||||
119528,2019-12-31,247.81
|
||||
119528,2020-01-31,246.14
|
||||
119528,2020-02-28,231.91
|
||||
119528,2020-03-31,175.98
|
||||
119528,2020-04-30,200.77
|
||||
119528,2020-05-29,196.75
|
||||
119528,2020-06-30,210.55
|
||||
119528,2020-07-31,224.93
|
||||
119528,2020-08-19,233.78
|
||||
119528,2020-10-30,235.83
|
||||
119528,2020-11-27,264.04
|
||||
119528,2020-12-31,285.02
|
||||
119528,2021-01-29,280.52
|
||||
119528,2021-02-26,300.56
|
||||
119528,2021-03-31,301.57
|
||||
119528,2021-04-30,301.1
|
||||
119528,2021-05-31,320.98
|
||||
119528,2021-06-30,327.64
|
||||
119528,2021-07-30,336.6
|
||||
119528,2021-08-31,360.75
|
||||
119528,2021-09-30,369.42
|
||||
119528,2021-10-29,372.89
|
||||
119528,2021-11-30,359.8
|
||||
119528,2021-12-31,366.98
|
||||
119528,2022-01-31,367.31
|
||||
119528,2022-02-17,363.56
|
|
11
test_files/nav_history_monthly.csv
Normal file
11
test_files/nav_history_monthly.csv
Normal file
@ -0,0 +1,11 @@
|
||||
amfi_code,date,nav
|
||||
118825,31-03-2021,70.69
|
||||
118825,30-04-2021,70.39
|
||||
118825,31-05-2021,74.85
|
||||
118825,30-07-2021,78.335
|
||||
118825,31-08-2021,83.691
|
||||
118825,30-09-2021,86.128
|
||||
118825,29-10-2021,86.612
|
||||
118825,30-11-2021,83.475
|
||||
118825,31-01-2022,85.18
|
||||
118825,17-02-2022,84.33
|
|
71
test_files/nav_history_quarterly - Copy.csv
Normal file
71
test_files/nav_history_quarterly - Copy.csv
Normal file
@ -0,0 +1,71 @@
|
||||
"amfi_code","date","nav"
|
||||
118825,2013-03-28,17.563
|
||||
118825,2013-06-28,17.802
|
||||
118825,2013-09-30,17.732
|
||||
118825,2013-12-31,20.499
|
||||
118825,2014-03-31,22.339
|
||||
118825,2014-06-30,27.011
|
||||
118825,2014-09-30,29.493
|
||||
118825,2014-12-31,31.646
|
||||
118825,2015-03-31,33.14
|
||||
118825,2015-06-30,33.227
|
||||
118825,2015-09-30,32.94
|
||||
118825,2015-12-31,33.267
|
||||
118825,2016-03-31,32.034
|
||||
118825,2016-06-30,35.006
|
||||
118825,2016-09-30,37.724
|
||||
118825,2016-12-30,36.239
|
||||
118825,2017-03-31,41.421
|
||||
118825,2017-06-30,43.979
|
||||
118825,2017-09-29,46.085
|
||||
118825,2017-12-29,50.579
|
||||
118825,2018-03-28,46.858
|
||||
118825,2018-06-29,48.716
|
||||
118825,2018-09-28,49.863
|
||||
118825,2018-12-31,50.691
|
||||
118825,2019-03-31,54.017
|
||||
118825,2019-06-28,55.181
|
||||
118825,2019-09-30,54.058
|
||||
118825,2019-12-31,57.771
|
||||
118825,2020-03-31,41.452
|
||||
118825,2020-06-30,49.526
|
||||
118825,2020-12-31,66.415
|
||||
118825,2021-03-31,70.69
|
||||
118825,2021-06-30,77.109
|
||||
118825,2021-09-30,86.128
|
||||
118825,2021-12-31,85.759
|
||||
119528,2013-03-28,94.81
|
||||
119528,2013-06-28,97.52
|
||||
119528,2013-09-30,97.45
|
||||
119528,2013-12-31,109.3
|
||||
119528,2014-03-31,117.28
|
||||
119528,2014-06-30,139.48
|
||||
119528,2014-09-30,147.4
|
||||
119528,2014-12-31,159.62
|
||||
119528,2015-03-31,166.8
|
||||
119528,2015-06-30,166.67
|
||||
119528,2015-09-30,162.25
|
||||
119528,2015-12-31,162.83
|
||||
119528,2016-03-31,159.88
|
||||
119528,2016-06-30,174.61
|
||||
119528,2016-09-30,187.16
|
||||
119528,2016-12-30,176.66
|
||||
119528,2017-03-31,200.54
|
||||
119528,2017-06-30,209.83
|
||||
119528,2017-09-29,217.7
|
||||
119528,2017-12-29,233.26
|
||||
119528,2018-03-28,219.73
|
||||
119528,2018-06-29,225.27
|
||||
119528,2018-09-28,223.83
|
||||
119528,2018-12-31,228.61
|
||||
119528,2019-03-29,240.21
|
||||
119528,2019-06-28,241.28
|
||||
119528,2019-09-30,234.75
|
||||
119528,2019-12-31,247.81
|
||||
119528,2020-03-31,175.98
|
||||
119528,2020-06-30,210.55
|
||||
119528,2020-12-31,285.02
|
||||
119528,2021-03-31,301.57
|
||||
119528,2021-06-30,327.64
|
||||
119528,2021-09-30,369.42
|
||||
119528,2021-12-31,366.98
|
|
9
test_files/nav_history_quarterly.csv
Normal file
9
test_files/nav_history_quarterly.csv
Normal file
@ -0,0 +1,9 @@
|
||||
amfi_code,date,nav
|
||||
118825,31-03-2019,54.017
|
||||
118825,28-06-2019,55.181
|
||||
118825,31-12-2019,57.771
|
||||
118825,31-03-2020,41.452
|
||||
118825,30-06-2020,49.526
|
||||
118825,30-06-2021,77.109
|
||||
118825,30-09-2021,86.128
|
||||
118825,31-12-2021,85.759
|
|
Loading…
Reference in New Issue
Block a user