How do I remove the timestamp from a date?

How do I remove the timestamp from a date?

Change the Format to Hide the Time from Timestamp

1. Select the cell in which you have the time stamp from which you want to remove the time.
2. Hold the Control key and then press the 1 key.
3. In the Format Cells dialog box, select the Number tab.
4. In the left pane, click on the Date option.

How do I change a 13 digit number to a date in Excel?

2 Answers

1. Assume the string /Date(1388624400000)/ is in cell A1.
2. Extract the number portion and Trim the 13 digit number to the first 10,i.e. =MID(A1,8,10); You should get: 1388624400.
3. Then in C1, turn the hex number into a decimal one with =hex2dec(B1).
4. Then use the formula =(C1/86400)+DATE(1970,1,1)

How to convert timestamp column to datetime column?

But if you’re saying timestamp but really you mean a DATETIME column – then you can use any of those valid date formats described in the CAST and CONVERT topic in the MSDN help. Those are defined and supported “out of the box” by SQL Server.

Can you convert Dataframe column to datetime format?

While working with data in Pandas, it is not an unusual thing to encounter time series data, and we know Pandas is a very useful tool for working with time-series data in python. Let’s see how we can convert a dataframe column of strings (in dd/mm/yyyy format) to datetime format.

Can you create table Y with timestamp values?

Table Y will be created with a schema matching that of X, and the timestamp values are preserved. But if you want to INSERT an existing table SS won’t allow you to insert the timestamp column.

Is it possible to convert timestamp to datetime in pandas?

I need to convert the time stamps back to datetime (really, just date) format. I’ve tried this based on the answer to this post: I have a similar issue where I need to convert timestamp to datetime in numpy though, but I believe it can be apply in Pandas as well.