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This template returns the number(s) of full years between two specified dates. It may return one number (e.g. "50") or two possible numbers (e.g. "50-51") of full years, depending on the given information of the two dates. The template is especially designed for situations where the day, or day and month, of the two dates is unknown.
Or simply, using the simpler parameter names, compatible with {{Age in years, months and days}}: {{Age in years, months, weeks and days |month = 1 |day = 1 |year = 1 }} → 2023 years, 11 months, 2 weeks and 6 days; Alternatively, the first set of parameters can be left out to get the time left until a future date, such as the next Wikipedia ...
This template returns the number of full years, surplus months, and surplus days between two specified dates. If the second set of parameters is not included, it will return the number of years, months and days between a specified date and today's date. Template parameters Parameter Description Type Status Year ('from' date) 1 year The year of the (first) date Number required Month ('from ...
The leap year problem (also known as the leap year bug or the leap day bug) is a problem for both digital (computer-related) and non-digital documentation and data storage situations which results from errors in the calculation of which years are leap years, or from manipulating dates without regard to the difference between leap years and common years.
This template returns the number of days between two dates. Dates may be input either as full dates or as year, month and day. ... Examples: {{age in days|19 Aug 2008 ...
Excel supports dates with years in the range 1900–9999, except that December 31, 1899, can be entered as 0 and is displayed as 0-jan-1900. Converting a fraction of a day into hours, minutes and days by treating it as a moment on the day January 1, 1900, does not work for a negative fraction.
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For example, df.groupby(lambda i: i % 2) groups data by whether the index is even. [ 4 ] : 253–259 Pandas includes support for time series , such as the ability to interpolate values [ 4 ] : 316–317 and filter using a range of timestamps (e.g. data['1/1/2023':'2/2/2023'] will return all dates between January 1st and February 2nd).