cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Don’t miss your chance to experience Discovery Summit Europe at our best available rate! Early bird registration through 31 Oct.
  • Image to Table JMP extension imports single or batch images as data tables. Useful to extract curves from pictures or convert image data to curve data to use in analyses like Functional Data Explorer. Download and install the extension.

Discussions

Solve problems, and share tips and tricks with other JMP users.
Choose Language Hide Translation Bar
lodey101
Level II

Joining Multiple Data Table using a loop

Hi there,

Currently as part of my analysis I am creating multiple files based on control chart limits.These files are outputted as Untitled. I need to join all the analysis together but the problem that I have is that I need to exclude some data tables from my join. There are 2 tables that I need to exclude from my loop - Ref Data and Limits_Key.

See Below:

7213_Untitled.png

I was using this code to place all the tables into a list:

num_tables = ntable();

dataset_list = {};

For (z = 1, z <= num_tables, z++,

    dt = Data Table(z);

    column_names = dt << get column names;

    valid_columns = 1;

    if (valid_columns,

        one_name = dt << Get Name;

        Insert Into(dataset_list, one_name);

    );

);    // end for

//show(dataset_list);

num_tables = nitems(dataset_list);

For( q = num_tables, q >= 1, q--,

  If( !Starts With( dataset_list, "Untitled" ),

  Remove From( dataset_list, q )

  )

);

Show(dataset_list);

I was hoping to use something like the following to join the tables (excluding the 2 mentioned above)

t_count = (N Table());

show (t_count);

t_count = (t_count) -2;

dt_old = Data Table(t_count);

show(dt_old);

Show(dt_old << get name());

dt_new = Data Table("temp_ref");

For(i = 3, i <= t_count, i++,

  //show(Data Table);

    dt_old = dt_new;

    Show(dt_old << get name());

    dt_new = dt_old << Join(

        With(Data Table(i)),

        Merge Same Name Columns,

        By Matching Columns(:_LimitsKey = :_LimitsKey,

  :_Screened = :_Screened,

  :SUBSET = :SUBSET),

        Drop multiples(0, 0),

        Name("Include non-matches")(1, 1),

        Output Table( "Limits" )

    );

    Close(dt_old);

);

Could anyone help me out or give me a few pointers?

1 ACCEPTED SOLUTION

Accepted Solutions
pmroz
Super User

Re: Joining Multiple Data Table using a loop

You can filter out unneeded tables in the very first loop.  You'll end up with a table called LimitsNNN, where NNN is the number of Untitled tables.  Try something like this. 

num_tables = N Table();

dataset_list = {};

For( z = 1, z <= num_tables, z++,

    dt = Data Table( z );

    one_name = dt << Get Name;

    If( Starts With( one_name, "Untitled" ),

        Insert Into( dataset_list, one_name )

    );

);    // end for

Show( dataset_list );

dt_old = data table(dataset_list[1]);

for (i = 2, i <= nitems(dataset_list), i++,

    dt_new = data table(dataset_list[i]);

    join_name = "Limits" || char(i);

    dt_old << join( with(dt_new),

        Merge Same Name Columns,

        By Matching Columns(

            :_LimitsKey = :_LimitsKey,

            :_Screened = :_Screened,

            :SUBSET = :SUBSET

        ),

        Drop multiples( 0, 0 ),

        Name( "Include non-matches" )(1, 1),

        Output Table( join_name )

    );

    close(dt_old, nosave);

   

    dt_old = data table(join_name);

);

View solution in original post

1 REPLY 1
pmroz
Super User

Re: Joining Multiple Data Table using a loop

You can filter out unneeded tables in the very first loop.  You'll end up with a table called LimitsNNN, where NNN is the number of Untitled tables.  Try something like this. 

num_tables = N Table();

dataset_list = {};

For( z = 1, z <= num_tables, z++,

    dt = Data Table( z );

    one_name = dt << Get Name;

    If( Starts With( one_name, "Untitled" ),

        Insert Into( dataset_list, one_name )

    );

);    // end for

Show( dataset_list );

dt_old = data table(dataset_list[1]);

for (i = 2, i <= nitems(dataset_list), i++,

    dt_new = data table(dataset_list[i]);

    join_name = "Limits" || char(i);

    dt_old << join( with(dt_new),

        Merge Same Name Columns,

        By Matching Columns(

            :_LimitsKey = :_LimitsKey,

            :_Screened = :_Screened,

            :SUBSET = :SUBSET

        ),

        Drop multiples( 0, 0 ),

        Name( "Include non-matches" )(1, 1),

        Output Table( join_name )

    );

    close(dt_old, nosave);

   

    dt_old = data table(join_name);

);

Recommended Articles