fusetools.logging_tools.log_tbl_df

fusetools.logging_tools.log_tbl_df(proc_owner=None, proc_cat=None, proc_name=None, run_datetime=None, elapsed_run_time=None, max_completed_step=None, outcome=None, notes1_key=None, notes1_note=None, notes1_val=None, notes2_key=None, notes2_note=None, notes2_val=None, notes3_key=None, notes3_note=None, notes3_val=None, notes4_key=None, notes4_note=None, notes4_val=None, notes5_key=None, notes5_note=None, notes5_val=None, notes6_key=None, notes6_note=None, notes6_val=None, notes7_key=None, notes7_note=None, notes7_val=None, notes8_key=None, notes8_note=None, notes8_val=None, notes9_key=None, notes9_note=None, notes9_val=None, notes10_key=None, notes10_note=None, notes10_val=None)

Creates a Pandas DataFrame of logging details.

Parameters

• proc_owner (Optional[list]) –

• proc_cat (Optional[list]) –

• proc_name (Optional[list]) –

• rundate –

• proc_runtime –

• max_completed_step (Optional[list]) –

• outcome (Optional[list]) –

• notes1_key (Optional[list]) –

• notes1_note (Optional[list]) –

• notes1_val (Optional[list]) –

• notes2_key (Optional[list]) –

• notes2_note (Optional[list]) –

• notes2_val (Optional[list]) –

• notes3_key (Optional[list]) –

• notes3_note (Optional[list]) –

• notes3_val (Optional[list]) –

• notes4_key (Optional[list]) –

• notes4_note (Optional[list]) –

• notes4_val (Optional[list]) –

• notes5_key (Optional[list]) –

• notes5_note (Optional[list]) –

• notes5_val (Optional[list]) –

• notes6_key (Optional[list]) –

• notes6_note (Optional[list]) –

• notes6_val (Optional[list]) –

• notes7_key (Optional[list]) –

• notes7_note (Optional[list]) –

• notes7_val (Optional[list]) –

• notes8_key (Optional[list]) –

• notes8_note (Optional[list]) –

• notes8_val (Optional[list]) –

• notes9_key (Optional[list]) –

• notes9_note (Optional[list]) –

• notes9_val (Optional[list]) –

• notes10_key (Optional[list]) –

• notes10_note (Optional[list]) –

• notes10_val (Optional[list]) –

Returns