Inconsistent Dates in Time Series
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I have a time series of stock returns with inconsistent dates. Some are in the format dd-mmm-yy and others in the format dd.mm.yyyy. I tried to use the following code to adjust the dates and to get the same date format:
Dates = Dependent_v.Date(:,1);
F = regexp(Dates,'-');
G = cellfun(@isempty,F);
if G = 0
I = datenum(F, 'dd.MM.yyyy');
else
I = datenum(F, 'dd-MMM-yy');
However, I always get the error code: The expression to the left of the equals sign is not a valid target for an assignment.
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% Create fake data
F = [cellstr(datestr(now-10:now, 'dd-mmm-yy')); cellstr(datestr(now-10:now, 'dd.mm.yyyy'))];
% Identify dates in 'dd-mmm-yy' format
idx = ~cellfun(@isempty,regexp(F, '\d{1,2}-[A-z]{3}-\d{2}'));
% do conversions
I = zeros(size(F));
I(idx) = datenum(F(idx), 'dd-mmm-yy');
I(~idx) = datenum(F(~idx),'dd.mm.yyyy');
7 个评论
AU
2019-5-30
AU
2019-5-30
Adam Danz
2019-5-30
I just tested my answer in r2017b and there are no problems. How are you importing your data? Are your dates a cell array of strings that look similar to this:
F =
22×1 cell array
{'20-May-19' }
{'21-May-19' }
{'22-May-19' }
{'23-May-19' }
{'24-May-19' }...
AU
2019-5-30
I see what happened. Some of the dates that are in 'dd-mmm-yy' format only have a single digit for the day (example: 1-Dec-11 should be 01-Dec-11) .
The fix is to accept single-digit format within the regular expression:
idx = ~cellfun(@isempty,regexp(F, '\d{1,2}-[A-z]{3}-\d{2}'));
% ^^
I've updated my answer to include single-digit days in that format.
AU
2019-5-31
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