Comply to Python formatting

Signed-off-by: colramos425 <colramos@amd.com>


[ROCm/rocprofiler-compute commit: 000867e106]

projects/rocprofiler-compute/src/omniperf_analyze/omniperf_analyze.py

@@ -143,8 +143,7 @@ def run_gui(args, runs):
             num_results,
         )
         runs[args.path[0][0]].raw_pmc = file_io.create_df_pmc(
-            args.path[0][0],
-            args.verbose
+            args.path[0][0], args.verbose
         )  # create mega df
         parser.load_kernel_top(runs[args.path[0][0]], args.path[0][0])
 
@@ -189,7 +188,9 @@ def run_cli(args, runs):
             args.time_unit,
             num_results,
         )
-        runs[d[0]].raw_pmc = file_io.create_df_pmc(d[0], args.verbose)  # creates mega dataframe
+        runs[d[0]].raw_pmc = file_io.create_df_pmc(
+            d[0], args.verbose
+        )  # creates mega dataframe
         is_gui = False
         parser.load_table_data(
             runs[d[0]], d[0], is_gui, args.g, args.verbose

projects/rocprofiler-compute/src/omniperf_analyze/utils/tty.py

@@ -103,8 +103,14 @@ def show_all(runs, archConfigs, output, decimal, time_unit, selected_cols, verbo
                                 ):
                                     if run != base_run:
                                         # calc percentage over the baseline
-                                        base_df[header]=[float(x) if x != '' else float(0) for x in base_df[header]]
-                                        cur_df[header]=[float(x) if x != '' else float(0) for x in cur_df[header]]
+                                        base_df[header] = [
+                                            float(x) if x != "" else float(0)
+                                            for x in base_df[header]
+                                        ]
+                                        cur_df[header] = [
+                                            float(x) if x != "" else float(0)
+                                            for x in cur_df[header]
+                                        ]
                                         t_df = (
                                             pd.concat(
                                                 [