find common timestamp of two different matrix

I have two kinds of data heat production (HP) and temperature. Both data have timestamp values in the first column and second column include HP and temperature values. The size of both data is unequal. Firstly I want to match the timestamp of HP with the timestamp of temperature and than create a third column that include the HP values with the matched timestamp of the temperature, while making unmatched values zeros. See the attached images and data as mat file.

data 1:

data 2:

Output I want :

Answer 1

[C B]

% Load Mat file in Base Workspace
load("data.mat")

% Convert the timestamps to strings, including only up to the minute
Temperature.Timestamp_temp = cellstr(datetime(Temperature.Timestamp_temp,'Format','yyyy-MM-dd HH:mm'));
HP.Timestamp_HP = cellstr(datetime(HP.Timestamp_HP,'Format','yyyy-MM-dd HH:mm'));

% Initialize the new table from the Temperature table
new_table = Temperature;

% Add a new column for HP, initializing with zeros
new_table.HP = zeros(height(new_table), 1);

% Fill in the HP data where the times match
[~, idx1, idx2] = intersect(new_table.Timestamp_temp, HP.Timestamp_HP);
new_table.HP(idx1) = HP.Var2(idx2);

disp(new_table(1:50,:));

       Timestamp_temp        Var2      HP  
    ____________________    ______    _____

    {'2022-08-23 11:53'}    32.473        0
    {'2022-08-23 11:53'}    32.473        0
    {'2022-08-23 11:54'}    32.508        0
    {'2022-08-23 11:54'}    32.527        0
    {'2022-08-23 11:55'}    32.545        0
    {'2022-08-23 11:55'}    32.598        0
    {'2022-08-23 11:56'}    32.653        0
    {'2022-08-23 11:56'}    32.724        0
    {'2022-08-23 11:57'}    32.795        0
    {'2022-08-23 11:57'}    32.867        0
    {'2022-08-23 11:58'}    32.921        0
    {'2022-08-23 11:58'}    32.975        0
    {'2022-08-23 11:59'}    33.029        0
    {'2022-08-23 11:59'}    33.064        0
    {'2022-08-23 12:00'}    33.118        0
    {'2022-08-23 12:00'}    33.172        0
    {'2022-08-23 12:01'}    33.209        0
    {'2022-08-23 12:01'}    33.279        0
    {'2022-08-23 12:02'}    33.333        0
    {'2022-08-23 12:02'}    33.405        0
    {'2022-08-23 12:03'}    33.476    394.6
    {'2022-08-23 12:03'}    33.549        0
    {'2022-08-23 12:04'}    33.566        0
    {'2022-08-23 12:04'}    33.602        0
    {'2022-08-23 12:05'}     33.62        0
    {'2022-08-23 12:05'}    33.622        0
    {'2022-08-23 12:06'}     33.62        0
    {'2022-08-23 12:06'}    33.584        0
    {'2022-08-23 12:07'}    33.548        0
    {'2022-08-23 12:07'}    33.531        0
    {'2022-08-23 12:08'}    33.495        0
    {'2022-08-23 12:08'}    33.459        0
    {'2022-08-23 12:09'}    33.405    385.5
    {'2022-08-23 12:09'}    33.352        0
    {'2022-08-23 12:10'}    33.297        0
    {'2022-08-23 12:10'}    33.244        0
    {'2022-08-23 12:11'}    33.172        0
    {'2022-08-23 12:11'}    33.118        0
    {'2022-08-23 12:12'}    33.046      374
    {'2022-08-23 12:12'}    33.011        0
    {'2022-08-23 12:13'}    32.957        0
    {'2022-08-23 12:13'}    32.903        0
    {'2022-08-23 12:14'}    32.867        0
    {'2022-08-23 12:14'}    32.832        0
    {'2022-08-23 12:15'}    32.795        0
    {'2022-08-23 12:15'}    32.795        0
    {'2022-08-23 12:16'}    32.795        0
    {'2022-08-23 12:16'}    32.814        0
    {'2022-08-23 12:17'}    32.832        0
    {'2022-08-23 12:17'}    32.851        0

Please let me know if it is working as per expected or not.

also let me know if any part you didnt understood.

[Mohan kand]

Thanks @Chetan Bhavsar your answer sloved my issue.

[Mohan kand]

@Chetan Bhavsar I check again and found there are some non-existent values of HP in new_table. However the existent values are correctly matched with the timestamps. Is it possible to delete the unwanted/on-existent values form the HP (third column)? see the attached image.

[C B]

@Mohan kand It does Exist Please check below!

% Load Mat file in Base Workspace
load("data.mat")

disp(HP(16150:16155,:));

      Timestamp_HP      Var2 
    ________________    _____

    19-12-2022 08:54    972.3
    23-08-2022 12:03    394.6
    23-08-2022 12:12      374
    23-08-2022 12:21    406.4
    23-08-2022 12:32    436.2
    23-08-2022 12:41    447.8

[Mohan kand]

@Chetan Bhavsar you are right. Everything is okay. Thanks !