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I want to split a datetime column so that the year and the month both have their own column in a select statement output. I also want to have a column by week of the year, as opposed to specific date.
Basically, I want separate year, month, and week columns to show up in my select statement output.
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Create a list of dates and assign into dataframe. Apply str. split function inside '/' delimiter to df['date'] column. Assign the result to df[[“day”, “month”, “year”]].
To get the year and the month columns, use the EXTRACT(part FROM date) function. In this solution, the part argument is replaced by YEAR and MONTH to get the year and the month separately, each in its own column.
1. Select the dates you want to split, click Kutools > Text > Split Cells. 2. In the Split Cells dialog, check Split to Columns checkbox, then check Other in Split by section, type / into the next textbox.
Try using the DatePart function as shown in the following:
select
datepart(year,Mydate),
datepart(month,Mydate),
datepart(week,Mydate)
From
MyTable
Note: If you need to calculate the week number by ISO 8601 standards then you'll need to use datepart(iso_week,Mydate)
You could also look at the DateName function
select
datename(month,Mydate)
From
MyTable
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