Working With Data Tables

This topic describes how to work with data tables in Leapfrog Geothermal. It is divided into:

• Importing Data Tables and Mapping Data Columns
• Data Tables in the Project Tree
• Viewing Table Data
• Adding and Updating Data for Existing Tables

Importing Data Tables and Mapping Data Columns

Importing data tables into Leapfrog Geothermal involves selecting the files to import and then mapping the data columns in the files to the format Leapfrog Geothermal expects. The data columns Leapfrog Geothermal expects differs for different data types, and you can find more information about the expected format in the help for each data type. See:

• Importing Well Data
• Importing Points Data
• Geophysical Data
• Importing Planar Structural Data
• Importing Lineations

Once you have selected the file or files to be imported, Leapfrog Geothermal prompts you to map the columns in the file to the expected format. For example, here we are importing a set of points. File Data shows a snapshot of the data in the file. The Column Summary shows what columns are in the file and how Leapfrog Geothermal will map these columns, unless you make changes in this window.

The fields below the Column Summary allow you to change settings such as the character encoding and date and time formats.

The dark header row shows how each column will be mapped in Leapfrog Geothermal and the row labelled one is the first row in the file.

For this file, columns X, Y and Z in the file have been mapped in Leapfrog Geothermal to columns East (X), North (Y) and Elev (Z). These are shown in green.

The AG_gpt and Cu_pct columns are currently marked as Not Imported.

Each type of table being imported will have different column assignments available, but all table types will display:

• The categories columns can be assigned to (top of the list)
• The option to not import the column
• The required columns, which in this example are East (X), North (Y) and Elev (Z)
• Any optional columns, which in this example is the Hole ID column
• The option to select a custom name

You can see the options available for importing columns by clicking on the column header. Here the AG_gpt column will be set to be a numeric data column:

Note that both the File Data table and the Column Summary have been updated, with the new column assignment indicated in yellow:

If you choose not to import a column, you can do so later using the Import Column option, which is described in Importing Additional Columns to a Data Table below.

When setting import options for a column you can also work with the Column Summary. Here the Cu_pct column will be set to be a numeric data column:

If you wish to import all columns, click on the Import All Columns button, then check that all columns have been correctly mapped.

You can select a column for import, then use it as a Unique Row ID. This can specify the column being used in other data systems to uniquely identify rows in a table. The column must not contain duplicate values. If a Unique Row ID is specified, Leapfrog Geothermal will use this column to match rows when appending columns or reloading tables.

If the data contains date and time information and the date and time format is not detected, click on Date and Time Formats to reveal more information:

If the date and time format you wish to use is not among the options, you can create a custom format.

For *.csv files that use characters other than the comma as the separator, you can specify the delimiter, comment leader, quote and decimal characters in the Import window. Click on CSV characters to enter the characters used in the data files:

Data Tables in the Project Tree

Expand a data table in the project to see the columns in the table. Here the WP_points table contains three numeric data columns () and two category data columns ():

To delete a column, right-click on it and select Delete. You will be asked to confirm your choice, as any objects in that project that have been created from that data column will also be deleted.

To rename a column, right-click on it and select Rename. If you later export the table and wish to use your new column name in the exported table, make sure you untick the Use original column names option:

You can evaluate models onto data tables, as described in Evaluations. Evaluated models will appear under the table as a separate set of objects:

Viewing Table Data

To view the contents of a data table, double-click on it in the project tree. The Table window will appear:

To view the contents of the attribute table for a GIS object, right-click on the object and select Attribute Table.

If the Ignored column is ticked, then Leapfrog Geothermal completely ignores that row, as though it has been deleted. This is useful for suppressing erroneous data from being processed.

Collar tables have a trench column that indicates whether or not the well is from a trench. When the trench column is ticked for a well, the trench will be desurveyed in a different manner from other wells. See The Raw Tangent Algorithm for more information.

Cells in a table are editable, apart from the id column, which Leapfrog Geothermal uses as unique identifier. Double-click in a cell to edit it. If the cell you wish to edit is already selected, press the space bar to start editing.

When you edit a cell, the change will be indicated in bold text:

When you save the table, the edited text will no longer be displayed in bold.

The controls in the table toolbar provide quick access to table operations:

Click on Fix Errors to begin correcting errors in the table. See Correcting Data Errors in Leapfrog Geothermal and Handling Special Values for more information.

Click on Query to open up the query editor:

See the Query Filters topic for more information on how to build and use queries.

Adding and Updating Data for Existing Tables

If you wish to add or update data for an existing data table, you have several options. Which you choose depends on what new data is available:

• If new columns of data are available or if when you imported a table, you did not import all the columns, use the Import Column option. See Importing Additional Columns to a Data Table below.
• If new rows of data are available, use the Append Data option. See Adding New Rows to Existing Data Tables below.
• When the data in the table has been updated outside of Leapfrog Geothermal and you wish to refresh the data, use the Reload option. Note that the Reload option overwrites existing data. See Reloading Data Tables below.

Importing Additional Columns to a Data Table

If new columns of data are available or if when you imported a table into Leapfrog Geothermal you did not import all the available columns, you can add more columns by right-clicking on the existing table and selecting Import Column. You can choose the file to use as part of this process, so the new columns can be in the original file or in separate files.

Importing a column is similar to importing tables themselves. Leapfrog Geothermal will display the data in the file in the Add Table Column window and you can select how you wish to import any additional columns. Here, we will import the AG_gpt column as numeric data:

It is not necessary to re-import any columns that are already part of the project.

Click Finish to import the new column.

Adding New Rows to Existing Data Tables

If new data rows are available for a table you have already imported into Leapfrog Geothermal, you can add the new data by appending it to the existing table.

To append new data rows to an existing table, right-click on the table in the project tree and select Append Data. The Import Data For Appending window will be displayed. Check that the columns that will be appended have been correctly mapped, then click Finish.

Reloading Data Tables

When data in a table has been updated outside of Leapfrog Geothermal and you wish to refresh the data, use the Reload Data option.

To reload a data table, right-click on it in the project tree and select Reload Data. The Reload Table window will be displayed. Check that the data has been correctly mapped, then click Finish.

 

Got a question? Visit the Seequent forums or Seequent support