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Examining Tabular Data

When inspecting tabular data, such as DataFrames, in the debugger, Workbench shows a maximum of 20 array entries in the variables tree.

Complete the following steps to view the full contents of the array in a table:

  1. While suspended at a breakpoint, open the Debugger sidebar.
  2. In the Variables tree, find the variable you want to inspect and expand it to see its properties.
  3. Right-click on the variable to see the available actions.

  4. Select the option you want to use to inspect the variable:
    • Select Inspect in table to see the contents of the variable in a table, in the same manner as for a Mosel set or array.
      Note: This option is available only for types that Xpress Workbench recognizes as tabular in nature (including built-in Python sequence types and the types used to represent entities in Xpress Insight models).
    • Select Inspect as text to see the textual representation of the variable, as determined by the Python repr() function.
      Tip: Some types (such as pandas.DataFrame) have a textual representation that is a user-friendly tabular view. Depending on the type and the data, this view might be more informative than the Inspect as Table view.
    • Select Save as CSV saves the data layout from the Inspect in Table view as a comma-separated value (.csv) file. This option is available only for types for which CSV representation is supported.
Parent Topic Debugging Python Models

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