Plots: bbox_inches="tight"

Fixes the subtext getting cut of
quaquel · Nov 1, 2023 · 08aa46c · 08aa46c
1 parent b99624c
commit 08aa46c
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Showing 5 changed files with 792 additions and 792 deletions.
diff --git a/scripts/benchmarks_analysis.ipynb b/scripts/benchmarks_analysis.ipynb
@@ -7,8 +7,8 @@
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@@ -30,8 +30,8 @@
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@@ -55,8 +55,8 @@
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@@ -90,8 +90,8 @@
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@@ -124,8 +124,8 @@
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@@ -153,8 +153,8 @@
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@@ -173,8 +173,8 @@
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@@ -239,8 +239,8 @@
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@@ -267,8 +267,8 @@
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@@ -295,8 +295,8 @@
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@@ -312,8 +312,8 @@
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@@ -329,8 +329,8 @@
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@@ -347,8 +347,8 @@
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@@ -361,14 +361,14 @@
      "name": "stderr",
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      "text": [
-      "C:\\Users\\Ewout\\AppData\\Local\\Temp\\ipykernel_14856\\3057898379.py:6: FutureWarning: Styler.applymap has been deprecated. Use Styler.map instead.\n",
+      "C:\\Users\\Ewout\\AppData\\Local\\Temp\\ipykernel_32408\\3057898379.py:6: FutureWarning: Styler.applymap has been deprecated. Use Styler.map instead.\n",
       "  mean_df.style.applymap(color_red_green)\n"
      ]
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     {
      "data": {
-      "text/plain": "<pandas.io.formats.style.Styler at 0x2eb9621ee10>",
-      "text/html": "<style type=\"text/css\">\n#T_cc551_row0_col0, #T_cc551_row0_col1, #T_cc551_row0_col2, #T_cc551_row1_col0, #T_cc551_row2_col0 {\n  color: red;\n}\n#T_cc551_row1_col1, #T_cc551_row1_col2, #T_cc551_row2_col1, #T_cc551_row2_col2 {\n  color: green;\n}\n</style>\n<table id=\"T_cc551\">\n  <thead>\n    <tr>\n      <th class=\"index_name level0\" >Evaluator</th>\n      <th id=\"T_cc551_level0_col0\" class=\"col_heading level0 col0\" >SequentialEvaluator</th>\n      <th id=\"T_cc551_level0_col1\" class=\"col_heading level0 col1\" >MultiprocessingEvaluator</th>\n      <th id=\"T_cc551_level0_col2\" class=\"col_heading level0 col2\" >MPIEvaluator</th>\n    </tr>\n    <tr>\n      <th class=\"index_name level0\" >Model</th>\n      <th class=\"blank col0\" >&nbsp;</th>\n      <th class=\"blank col1\" >&nbsp;</th>\n      <th class=\"blank col2\" >&nbsp;</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_cc551_level0_row0\" class=\"row_heading level0 row0\" >python</th>\n      <td id=\"T_cc551_row0_col0\" class=\"data row0 col0\" >1.000000</td>\n      <td id=\"T_cc551_row0_col1\" class=\"data row0 col1\" >0.134587</td>\n      <td id=\"T_cc551_row0_col2\" class=\"data row0 col2\" >0.101187</td>\n    </tr>\n    <tr>\n      <th id=\"T_cc551_level0_row1\" class=\"row_heading level0 row1\" >lake</th>\n      <td id=\"T_cc551_row1_col0\" class=\"data row1 col0\" >1.000000</td>\n      <td id=\"T_cc551_row1_col1\" class=\"data row1 col1\" >4.296364</td>\n      <td id=\"T_cc551_row1_col2\" class=\"data row1 col2\" >3.036905</td>\n    </tr>\n    <tr>\n      <th id=\"T_cc551_level0_row2\" class=\"row_heading level0 row2\" >flu</th>\n      <td id=\"T_cc551_row2_col0\" class=\"data row2 col0\" >1.000000</td>\n      <td id=\"T_cc551_row2_col1\" class=\"data row2 col1\" >4.041302</td>\n      <td id=\"T_cc551_row2_col2\" class=\"data row2 col2\" >3.976416</td>\n    </tr>\n  </tbody>\n</table>\n"
+      "text/plain": "<pandas.io.formats.style.Styler at 0x1f46fbc0a90>",
+      "text/html": "<style type=\"text/css\">\n#T_c4380_row0_col0, #T_c4380_row0_col1, #T_c4380_row0_col2, #T_c4380_row1_col0, #T_c4380_row2_col0 {\n  color: red;\n}\n#T_c4380_row1_col1, #T_c4380_row1_col2, #T_c4380_row2_col1, #T_c4380_row2_col2 {\n  color: green;\n}\n</style>\n<table id=\"T_c4380\">\n  <thead>\n    <tr>\n      <th class=\"index_name level0\" >Evaluator</th>\n      <th id=\"T_c4380_level0_col0\" class=\"col_heading level0 col0\" >SequentialEvaluator</th>\n      <th id=\"T_c4380_level0_col1\" class=\"col_heading level0 col1\" >MultiprocessingEvaluator</th>\n      <th id=\"T_c4380_level0_col2\" class=\"col_heading level0 col2\" >MPIEvaluator</th>\n    </tr>\n    <tr>\n      <th class=\"index_name level0\" >Model</th>\n      <th class=\"blank col0\" >&nbsp;</th>\n      <th class=\"blank col1\" >&nbsp;</th>\n      <th class=\"blank col2\" >&nbsp;</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_c4380_level0_row0\" class=\"row_heading level0 row0\" >python</th>\n      <td id=\"T_c4380_row0_col0\" class=\"data row0 col0\" >1.000000</td>\n      <td id=\"T_c4380_row0_col1\" class=\"data row0 col1\" >0.134587</td>\n      <td id=\"T_c4380_row0_col2\" class=\"data row0 col2\" >0.101187</td>\n    </tr>\n    <tr>\n      <th id=\"T_c4380_level0_row1\" class=\"row_heading level0 row1\" >lake</th>\n      <td id=\"T_c4380_row1_col0\" class=\"data row1 col0\" >1.000000</td>\n      <td id=\"T_c4380_row1_col1\" class=\"data row1 col1\" >4.296364</td>\n      <td id=\"T_c4380_row1_col2\" class=\"data row1 col2\" >3.036905</td>\n    </tr>\n    <tr>\n      <th id=\"T_c4380_level0_row2\" class=\"row_heading level0 row2\" >flu</th>\n      <td id=\"T_c4380_row2_col0\" class=\"data row2 col0\" >1.000000</td>\n      <td id=\"T_c4380_row2_col1\" class=\"data row2 col1\" >4.041302</td>\n      <td id=\"T_c4380_row2_col2\" class=\"data row2 col2\" >3.976416</td>\n    </tr>\n  </tbody>\n</table>\n"
      },
      "execution_count": 14,
      "metadata": {},
@@ -386,8 +386,8 @@
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@@ -414,8 +414,8 @@
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@@ -443,8 +443,8 @@
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@@ -511,8 +511,8 @@
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@@ -543,8 +543,8 @@
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+     "end_time": "2023-11-01T21:33:12.404761600Z",
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@@ -576,8 +576,8 @@
    "metadata": {
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-     "start_time": "2023-11-01T21:28:21.075355600Z"
+     "end_time": "2023-11-01T21:33:12.405757700Z",
+     "start_time": "2023-11-01T21:33:12.204245800Z"
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    "id": "febe809ae7634903"
@@ -602,13 +602,13 @@
     "g.set_title(\"Boxplot with runtime of 25.000 lake model iterations\\nNon-exclusive node access\", ha=\"center\")\n",
     "g.set_ylabel(\"Time (in seconds)\\n(lower is better)\")\n",
     "g.set_xlabel(\"Number of nodes\\n1 node = 2x Intel XEON E5-6248R 24C 3.0GHz\\nThe mean is shown as a green triangle.\\n10 replications have been done for each model and evaluator combination.\\nPython 3.9.8 | DelftBlue | 2023r1\")\n",
-    "g.figure.savefig(\"boxplot_lake.svg\")"
+    "g.figure.savefig(\"boxplot_lake.svg\", bbox_inches=\"tight\")"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-11-01T21:28:21.410270600Z",
-     "start_time": "2023-11-01T21:28:21.084954Z"
+     "end_time": "2023-11-01T21:33:12.611480Z",
+     "start_time": "2023-11-01T21:33:12.213675900Z"
     }
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@@ -649,8 +649,8 @@
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-     "start_time": "2023-11-01T21:28:21.318268500Z"
+     "end_time": "2023-11-01T21:33:12.910379Z",
+     "start_time": "2023-11-01T21:33:12.510411700Z"
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@@ -681,8 +681,8 @@
    "metadata": {
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-     "end_time": "2023-11-01T21:28:28.511285800Z",
-     "start_time": "2023-11-01T21:28:28.494723900Z"
+     "end_time": "2023-11-01T21:33:15.938750700Z",
+     "start_time": "2023-11-01T21:33:15.920261800Z"
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    "id": "397c8e2139e6fd5f"
@@ -707,13 +707,13 @@
     "g.set_title(\"Boxplot with runtime of 100.000 lake model iterations\\nExclusive node access\", ha=\"center\")\n",
     "g.set_ylabel(\"Time (in seconds)\\n(lower is better)\")\n",
     "g.set_xlabel(\"Number of nodes\\n1 node = 2x Intel XEON E5-6248R 24C 3.0GHz\\nThe mean is shown as a green triangle.\\n10 replications have been done for each node number.\\nPython 3.9.8 | DelftBlue | 2023r1\")\n",
-    "g.figure.savefig(\"boxplot_lake_exclusive.svg\")"
+    "g.figure.savefig(\"boxplot_lake_exclusive.svg\", bbox_inches=\"tight\")"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-11-01T21:28:29.512675100Z",
-     "start_time": "2023-11-01T21:28:29.248576100Z"
+     "end_time": "2023-11-01T21:33:16.446569500Z",
+     "start_time": "2023-11-01T21:33:16.125090600Z"
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@@ -754,8 +754,8 @@
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-     "start_time": "2023-11-01T21:28:30.537388700Z"
+     "end_time": "2023-11-01T21:33:16.462094500Z",
+     "start_time": "2023-11-01T21:33:16.434581400Z"
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@@ -786,8 +786,8 @@
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-     "end_time": "2023-11-01T21:28:31.197299900Z",
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+     "end_time": "2023-11-01T21:33:16.677091400Z",
+     "start_time": "2023-11-01T21:33:16.637984700Z"
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    "id": "c5f172f3790053f2"
@@ -812,13 +812,13 @@
     "g.set_title(\"Boxplot with runtime of 25.000 flu model iterations\\nExclusive node access\", ha=\"center\")\n",
     "g.set_ylabel(\"Time (in seconds)\\n(lower is better)\")\n",
     "g.set_xlabel(\"Number of nodes\\n1 node = 2x Intel XEON E5-6248R 24C 3.0GHz\\nThe mean is shown as a green triangle.\\n10 replications have been done for each node number.\\nPython 3.9.8 | DelftBlue | 2023r1\")\n",
-    "g.figure.savefig(\"boxplot_flu.svg\")"
+    "g.figure.savefig(\"boxplot_flu.svg\", bbox_inches=\"tight\")"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2023-11-01T21:28:32.571712400Z",
-     "start_time": "2023-11-01T21:28:32.379097400Z"
+     "end_time": "2023-11-01T21:33:17.384478Z",
+     "start_time": "2023-11-01T21:33:17.122848600Z"
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