# How to convert time column into a regular array?

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Anjali Mishra on 21 Jan 2022
Commented: Anjali Mishra on 21 Jan 2022
I have a table with first column as time series, and other columns as other parameters that changes with time. I want to convert the time series into an array for plaotting. I tried following code:
A_time = A(:,1);
A_time_array = table2array(A_time);
This method works for all the numeric columns. However, it errors out in the time column. Can someone suggest a better way?
Stephen23 on 21 Jan 2022
"Can someone suggest a better way?"
Convert the "time series" to datetime objects and plot using them.

Star Strider on 21 Jan 2022
If the time series are a datetime array, they can easily be plotted as funcitons of that variable. It would be best to convert them to a datetime array if they are not already.
The other (less-desirable) option is to convert them to a datenum array and then use the datetick function.
.
##### 2 CommentsShowHide 1 older comment
Star Strider on 21 Jan 2022
Those dates and times must be present in the file as character or string arrays. It is not possible to work with them as they are presented, so having the original file would help.
Assuming that they are (or can be made to be) read as character arrays or string arrays, the conversion is straightforward —
A = {{['2021-11-14 19:16:02.328']}
{['2021-11-14 19:16:02.430']}
{['2021-11-14 19:16:02.533']}
{['2021-11-14 19:16:02.640']}}
A = 4×1 cell array
{1×1 cell} {1×1 cell} {1×1 cell} {1×1 cell}
Aa = datetime([A{:}], 'InputFormat','yyyy-MM-dd HH:mm:ss.SSS', 'Format','yyyy-MM-dd HH:mm:ss.SSS').'
Aa = 4×1 datetime array
2021-11-14 19:16:02.328 2021-11-14 19:16:02.430 2021-11-14 19:16:02.533 2021-11-14 19:16:02.640
Using the same format descriptor string for both 'InputFormat' and 'Format' causes the output to match the input.
.

Jon on 21 Jan 2022
t = seconds(A_time.Time - A_time.Time(1))
Anjali Mishra on 21 Jan 2022
This also works equally well.

R2021a

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