diff --git a/cache_utils/analyse_csv.py b/cache_utils/analyse_csv.py
index 0691fbf..1a7514d 100644
--- a/cache_utils/analyse_csv.py
+++ b/cache_utils/analyse_csv.py
@@ -177,7 +177,6 @@ def show_grid(df, col, row, shown=["clflush_miss_n", "clflush_remote_hit", "clfl
     # Red = Remote Hit
     # Green = Local Hit
     # Yellow = Shared Hit
-    df.loc[:, (row,)] = df[row].apply(dict_to_json)
     g = sns.FacetGrid(df, col=col, row=row, legend_out=True)
     g.map(custom_hist, "time", *shown)
 
@@ -202,14 +201,19 @@ def export_stats_csv():
     stats.to_csv(sys.argv[1] + ".stats.csv", index=False)
 
 
-custom_hist(df["time"], df["clflush_miss_n"], df["clflush_remote_hit"], title="miss v. hit")
-plt.show()
+df.loc[:, ("hash",)] = df["hash"].apply(dict_to_json)
 
-show_specific_position(0, 2, 0)
+if "NO_PLOT" not in os.environ:
+    custom_hist(df["time"], df["clflush_miss_n"], df["clflush_remote_hit"], title="miss v. hit")
+    plt.show()
 
-df_main_core_0 = df[df["main_core"] == 0]
-show_grid(df_main_core_0, "helper_core", "hash")
-show_grid(df, "main_core", "hash")
+    show_specific_position(0, 2, 0)
+
+    df_main_core_0 = df[df["main_core"] == 0]
+    df_main_core_0.loc[:, ("hash",)] = df["hash"].apply(dict_to_json)
+
+    show_grid(df_main_core_0, "helper_core", "hash")
+    show_grid(df, "main_core", "hash")
 
 
 if not os.path.exists(sys.argv[1] + ".stats.csv"):
diff --git a/cache_utils/analyse_medians.py b/cache_utils/analyse_medians.py
index 3f7022d..58c34b1 100644
--- a/cache_utils/analyse_medians.py
+++ b/cache_utils/analyse_medians.py
@@ -56,10 +56,10 @@ stats = pd.read_csv(sys.argv[1] + ".stats.csv",
 slice_mapping = pd.read_csv(sys.argv[1] + ".slices.csv")
 core_mapping = pd.read_csv(sys.argv[1] + ".cores.csv")
 
-print(core_mapping.to_string())
-print(slice_mapping.to_string())
+print("core mapping:\n", core_mapping.to_string())
+print("slice mapping:\n", slice_mapping.to_string())
 
-print("core {} is mapped to '{}'".format(4, repr(core_mapping.iloc[4])))
+#print("core {} is mapped to '{}'".format(4, repr(core_mapping.iloc[4])))
 
 min_time_miss = stats["clflush_miss_n"].min()
 max_time_miss = stats["clflush_miss_n"].max()
@@ -91,8 +91,7 @@ print("Graphing from {} to {}".format(graph_lower_miss, graph_upper_miss))
 
 g_ = sns.FacetGrid(stats, col="main_core_fixed", row="slice_group")
 
-g_.map(sns.distplot, 'clflush_miss_n', bins=range(graph_lower_miss, graph_upper_miss), color="b")
-#g.map(sns.scatterplot, 'slice_group', 'clflush_local_hit_n', color="g")
+g_.map(sns.histplot, 'clflush_miss_n', bins=range(graph_lower_miss, graph_upper_miss), color="b", edgecolor="b", alpha=0.2)
 plt.show()