Featuring Multiple Column Support for Post Processing to Export Data

- For babelstream we need multiple columns to be exported so with this change,
- the post-processing script would be able to recognise new column data alongside with x_axis and y_axis
- If needed user could define a_axis, b_axis, etc. to export more columns and the default execution flow is not affected.

post-processing/post_processing.py

@@ -75,11 +75,13 @@ def run_post_processing(self, log_path, config):
             raise FileNotFoundError(errno.ENOENT, "Could not find a valid perflog in path", log_path)
 
         # get axis columns
-        columns = [config["x_axis"]["value"], config["y_axis"]["value"]]
-        if config["x_axis"]["units"].get("column"):
-            columns.insert(1, config["x_axis"]["units"]["column"])
-        if config["y_axis"]["units"].get("column"):
-            columns.append(config["y_axis"]["units"]["column"])
+        columns = []
+        axis_string = "axis"
+        for key in config:
+            if axis_string in key:
+                columns.append(config[key]["value"])
+                if config[key]["units"].get("column"):
+                    columns.append(config[key]["units"]["column"])
 
         series = config["series"]
         # extract series columns and filters
@@ -583,7 +585,6 @@ def read_perflog(path):
     df.insert(index, "test_name", [r[0] for r in results])
     # drop old column
     df.drop("display_name", axis=1, inplace=True)
-
     # replace other columns with dictionary contents
     dict_cols = [c for c in ["extra_resources", "env_vars"] if c in df.columns]
     for col in dict_cols: