diff --git a/SAS/TMSS/scripts/notebooks/project_report_poc.ipynb b/SAS/TMSS/scripts/notebooks/project_report_poc.ipynb
index c05cdb05756708b399350aaf9c1f1ac40314a0a5..74901b8a6d1b0e8c1c9a49da837d9e216c4e6df8 100644
--- a/SAS/TMSS/scripts/notebooks/project_report_poc.ipynb
+++ b/SAS/TMSS/scripts/notebooks/project_report_poc.ipynb
@@ -36,7 +36,7 @@
},
{
"cell_type": "code",
- "execution_count": 145,
+ "execution_count": 1,
"id": "d169d2ba",
"metadata": {},
"outputs": [],
@@ -57,7 +57,7 @@
},
{
"cell_type": "code",
- "execution_count": 146,
+ "execution_count": 2,
"id": "48b766e7",
"metadata": {},
"outputs": [],
@@ -125,7 +125,7 @@
},
{
"cell_type": "code",
- "execution_count": 148,
+ "execution_count": 3,
"id": "3276ce6d",
"metadata": {},
"outputs": [],
@@ -135,6 +135,11 @@
" \"project\": \"high\",\n",
" \"quota\": [\n",
" {\n",
+ " \"id\": 2,\n",
+ " \"resource_type_id\": \"LTA Storage\",\n",
+ " \"value\": 1300.0\n",
+ " },\n",
+ " {\n",
" \"id\": 4,\n",
" \"resource_type_id\": \"LTA Storage\",\n",
" \"value\": 1000.0\n",
@@ -146,12 +151,17 @@
" }\n",
" ],\n",
" \"durations\":{\n",
- " \"total\": 2800.000012,\n",
- " \"total_succeeded\": 1400.000006,\n",
- " \"total_not_cancelled\": 1400.000006,\n",
- " \"total_failed\": 800.000006,\n",
+ " \"total\": 4000.000018,\n",
+ " \"total_succeeded\": 2000.000009,\n",
+ " \"total_not_cancelled\": 3250.000009,\n",
+ " \"total_failed\": 1150.000009,\n",
" \"scheduling_unit_blueprints_finished\": [\n",
" {\n",
+ " \"id\": 3,\n",
+ " \"name\": \"amazing_sub\",\n",
+ " \"duration\": 600.000003\n",
+ " },\n",
+ " {\n",
" \"id\": 8,\n",
" \"name\": \"amazing_sub\",\n",
" \"duration\": 600.000003\n",
@@ -172,6 +182,11 @@
" \"id\": 36,\n",
" \"name\": \"another_horrible_sub\",\n",
" \"duration\": 200.000003\n",
+ " },\n",
+ " {\n",
+ " \"id\": 43,\n",
+ " \"name\": \"yet_another_horrible_sub\",\n",
+ " \"duration\": 350.000003\n",
" }\n",
" ]\n",
" },\n",
@@ -190,6 +205,14 @@
" {\n",
" \"sap_name\":\"sap_3\",\n",
" \"total_exposure\": 235.0\n",
+ " },\n",
+ " {\n",
+ " \"sap_name\":\"sap_4\",\n",
+ " \"total_exposure\": 345.0\n",
+ " },\n",
+ " {\n",
+ " \"sap_name\":\"sap_5\",\n",
+ " \"total_exposure\": 137.0\n",
" }\n",
" ]\n",
"}"
@@ -207,7 +230,7 @@
},
{
"cell_type": "code",
- "execution_count": 149,
+ "execution_count": 4,
"id": "d1b58c3a",
"metadata": {},
"outputs": [],
@@ -251,7 +274,7 @@
},
{
"cell_type": "code",
- "execution_count": 150,
+ "execution_count": 5,
"id": "8a0a7ed9",
"metadata": {
"scrolled": true
@@ -261,22 +284,22 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_15120b12_9d31_11eb_81ee_000c299c9be6\" ><caption>Summary Table - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >total</th> <th class=\"col_heading level0 col1\" >total_succeeded</th> <th class=\"col_heading level0 col2\" >total_not_cancelled</th> <th class=\"col_heading level0 col3\" >total_failed</th> <th class=\"col_heading level0 col4\" >size__sum</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_8b9be160_9d3e_11eb_8bbc_000c299c9be6\" ><caption>Summary Table - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >total</th> <th class=\"col_heading level0 col1\" >total_succeeded</th> <th class=\"col_heading level0 col2\" >total_not_cancelled</th> <th class=\"col_heading level0 col3\" >total_failed</th> <th class=\"col_heading level0 col4\" >size__sum</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_15120b12_9d31_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >high</th>\n",
- " <td id=\"T_15120b12_9d31_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >2800.000012</td>\n",
- " <td id=\"T_15120b12_9d31_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >1400.000006</td>\n",
- " <td id=\"T_15120b12_9d31_11eb_81ee_000c299c9be6row0_col2\" class=\"data row0 col2\" >1400.000006</td>\n",
- " <td id=\"T_15120b12_9d31_11eb_81ee_000c299c9be6row0_col3\" class=\"data row0 col3\" >800.000006</td>\n",
- " <td id=\"T_15120b12_9d31_11eb_81ee_000c299c9be6row0_col4\" class=\"data row0 col4\" >246</td>\n",
+ " <th id=\"T_8b9be160_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >high</th>\n",
+ " <td id=\"T_8b9be160_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >4000.000018</td>\n",
+ " <td id=\"T_8b9be160_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >2000.000009</td>\n",
+ " <td id=\"T_8b9be160_9d3e_11eb_8bbc_000c299c9be6row0_col2\" class=\"data row0 col2\" >3250.000009</td>\n",
+ " <td id=\"T_8b9be160_9d3e_11eb_8bbc_000c299c9be6row0_col3\" class=\"data row0 col3\" >1150.000009</td>\n",
+ " <td id=\"T_8b9be160_9d3e_11eb_8bbc_000c299c9be6row0_col4\" class=\"data row0 col4\" >246</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6c22d940>"
+ "<pandas.io.formats.style.Styler at 0x7f29b35611d0>"
]
},
- "execution_count": 150,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -309,7 +332,7 @@
},
{
"cell_type": "code",
- "execution_count": 151,
+ "execution_count": 6,
"id": "0d86e8a4",
"metadata": {},
"outputs": [
@@ -317,24 +340,29 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_187882cc_9d31_11eb_81ee_000c299c9be6\" ><caption>Quota - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >resource_type_id</th> <th class=\"col_heading level0 col1\" >value</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6\" ><caption>Quota - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >resource_type_id</th> <th class=\"col_heading level0 col1\" >value</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_187882cc_9d31_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >4</th>\n",
- " <td id=\"T_187882cc_9d31_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >LTA Storage</td>\n",
- " <td id=\"T_187882cc_9d31_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >1000.000000</td>\n",
+ " <th id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >2</th>\n",
+ " <td id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >LTA Storage</td>\n",
+ " <td id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >1300.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >4</th>\n",
+ " <td id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >LTA Storage</td>\n",
+ " <td id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6row1_col1\" class=\"data row1 col1\" >1000.000000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_187882cc_9d31_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >11</th>\n",
- " <td id=\"T_187882cc_9d31_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >LTA Storage</td>\n",
- " <td id=\"T_187882cc_9d31_11eb_81ee_000c299c9be6row1_col1\" class=\"data row1 col1\" >2400.000000</td>\n",
+ " <th id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >11</th>\n",
+ " <td id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >LTA Storage</td>\n",
+ " <td id=\"T_8c573e1a_9d3e_11eb_8bbc_000c299c9be6row2_col1\" class=\"data row2 col1\" >2400.000000</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6bb8c828>"
+ "<pandas.io.formats.style.Styler at 0x7f29b694b710>"
]
},
- "execution_count": 151,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -363,7 +391,7 @@
},
{
"cell_type": "code",
- "execution_count": 152,
+ "execution_count": 7,
"id": "a8588756",
"metadata": {},
"outputs": [
@@ -371,24 +399,29 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_1be4c128_9d31_11eb_81ee_000c299c9be6\" ><caption>Finished SUBs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6\" ><caption>Finished SUBs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_1be4c128_9d31_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >8</th>\n",
- " <td id=\"T_1be4c128_9d31_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >amazing_sub</td>\n",
- " <td id=\"T_1be4c128_9d31_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
+ " <th id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >3</th>\n",
+ " <td id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >amazing_sub</td>\n",
+ " <td id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_1be4c128_9d31_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >21</th>\n",
- " <td id=\"T_1be4c128_9d31_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >another_amazing_sub</td>\n",
- " <td id=\"T_1be4c128_9d31_11eb_81ee_000c299c9be6row1_col1\" class=\"data row1 col1\" >800.000003</td>\n",
+ " <th id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >8</th>\n",
+ " <td id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >amazing_sub</td>\n",
+ " <td id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6row1_col1\" class=\"data row1 col1\" >600.000003</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >21</th>\n",
+ " <td id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >another_amazing_sub</td>\n",
+ " <td id=\"T_8d5506d0_9d3e_11eb_8bbc_000c299c9be6row2_col1\" class=\"data row2 col1\" >800.000003</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6bb8c780>"
+ "<pandas.io.formats.style.Styler at 0x7f29e6146940>"
]
},
- "execution_count": 152,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -409,7 +442,7 @@
},
{
"cell_type": "code",
- "execution_count": 153,
+ "execution_count": 8,
"id": "b0e3224a",
"metadata": {},
"outputs": [
@@ -417,24 +450,29 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_1d1ffba2_9d31_11eb_81ee_000c299c9be6\" ><caption>Failed SUBs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6\" ><caption>Failed SUBs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_1d1ffba2_9d31_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >12</th>\n",
- " <td id=\"T_1d1ffba2_9d31_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >horrible_sub</td>\n",
- " <td id=\"T_1d1ffba2_9d31_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
+ " <th id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >12</th>\n",
+ " <td id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >horrible_sub</td>\n",
+ " <td id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >36</th>\n",
+ " <td id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >another_horrible_sub</td>\n",
+ " <td id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6row1_col1\" class=\"data row1 col1\" >200.000003</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_1d1ffba2_9d31_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >36</th>\n",
- " <td id=\"T_1d1ffba2_9d31_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >another_horrible_sub</td>\n",
- " <td id=\"T_1d1ffba2_9d31_11eb_81ee_000c299c9be6row1_col1\" class=\"data row1 col1\" >200.000003</td>\n",
+ " <th id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >43</th>\n",
+ " <td id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >yet_another_horrible_sub</td>\n",
+ " <td id=\"T_8dfeecae_9d3e_11eb_8bbc_000c299c9be6row2_col1\" class=\"data row2 col1\" >350.000003</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6bb6bc18>"
+ "<pandas.io.formats.style.Styler at 0x7f29e6146a20>"
]
},
- "execution_count": 153,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -455,7 +493,7 @@
},
{
"cell_type": "code",
- "execution_count": 154,
+ "execution_count": 9,
"id": "e8907f52",
"metadata": {},
"outputs": [
@@ -463,26 +501,34 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_1ddd932e_9d31_11eb_81ee_000c299c9be6\" ><caption>SAPs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >total_exposure</th> </tr> <tr> <th class=\"index_name level0\" >sap_name</th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6\" ><caption>SAPs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >total_exposure</th> </tr> <tr> <th class=\"index_name level0\" >sap_name</th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_1ddd932e_9d31_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >sap_1</th>\n",
- " <td id=\"T_1ddd932e_9d31_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >340.000000</td>\n",
+ " <th id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >sap_1</th>\n",
+ " <td id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >340.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >sap_2</th>\n",
+ " <td id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >195.000000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_1ddd932e_9d31_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >sap_2</th>\n",
- " <td id=\"T_1ddd932e_9d31_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >195.000000</td>\n",
+ " <th id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >sap_3</th>\n",
+ " <td id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >235.000000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_1ddd932e_9d31_11eb_81ee_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >sap_3</th>\n",
- " <td id=\"T_1ddd932e_9d31_11eb_81ee_000c299c9be6row2_col0\" class=\"data row2 col0\" >235.000000</td>\n",
+ " <th id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6level0_row3\" class=\"row_heading level0 row3\" >sap_4</th>\n",
+ " <td id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6row3_col0\" class=\"data row3 col0\" >345.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6level0_row4\" class=\"row_heading level0 row4\" >sap_5</th>\n",
+ " <td id=\"T_8ec242a8_9d3e_11eb_8bbc_000c299c9be6row4_col0\" class=\"data row4 col0\" >137.000000</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6bba0c18>"
+ "<pandas.io.formats.style.Styler at 0x7f29e6146d68>"
]
},
- "execution_count": 154,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -521,13 +567,13 @@
},
{
"cell_type": "code",
- "execution_count": 259,
+ "execution_count": 10,
"id": "18b5ce1d",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
@@ -551,13 +597,13 @@
},
{
"cell_type": "code",
- "execution_count": 156,
+ "execution_count": 11,
"id": "da3340db",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
@@ -595,13 +641,13 @@
},
{
"cell_type": "code",
- "execution_count": 253,
+ "execution_count": 12,
"id": "0869ef70",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
@@ -627,13 +673,13 @@
},
{
"cell_type": "code",
- "execution_count": 254,
+ "execution_count": 13,
"id": "ac375a19",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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B9wB027d2/SVJU2TUcE/ym8CDVbVmIk+cZEWS1UlWb9y4cSIPLUl7vEGu3F8FnJTkLuAiesMxHwfmJJnR9ZkPbOiWNwALALrt+wKbhx60qs6rqiVVtWTevHnjehGSpB2NGu5V9Z+qan5VLQTeAXy9qk4DrgHe2nVbBlzeLV/RrdNt/3pV1YRWLUl6RuP5nPsfAX+YZB29MfXzu/bzgbld+x8C54yvREnSWM0YvcvPVNW1wLXd8p3AccP0eRJ42wTUJknaSX5DVZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoNGDfcks5L8c5J/SfKdJH/atR+a5MYk65J8Psmzu/a9u/V13faFk/waJElDDHLl/q/ACVV1NHAM8MYkxwMfBT5WVS8GHgbO6PqfATzctX+s6ydJmkKjhnv1PNatzuweBZwAXNy1rwJO6ZZP7tbpti9NkokqWJI0uoHG3JPslWQt8CBwFfADYEtVbeu6rAcO6pYPAu4B6LZvBeZOYM2SpFEMFO5V9dOqOgaYDxwHHDHeEydZkWR1ktUbN24c7+EkSX3G9GmZqtoCXAP8CjAnyYxu03xgQ7e8AVgA0G3fF9g8zLHOq6olVbVk3rx5O1e9JGlYg3xaZl6SOd3yc4DXA7fRC/m3dt2WAZd3y1d063Tbv15VNYE1S5JGMWP0LhwIrEqyF71fBl+oqi8l+S5wUZI/B24Gzu/6nw98Nsk64CHgHZNQtyTpGYwa7lV1C3DsMO130ht/H9r+JPC2CalOkrRT/IaqJDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDVo1HBPsiDJNUm+m+Q7SX6/a98vyVVJvt89v6BrT5JPJFmX5JYkiyf7RUiSdjTIlfs24H1VdSRwPPCeJEcC5wBXV9VhwNXdOsCJwGHdYwVw7oRXLUl6RqOGe1XdV1U3dcuPArcBBwEnA6u6bquAU7rlk4ELqucGYE6SAye6cEnSyMY05p5kIXAscCNwQFXd1226HzigWz4IuKdvt/VdmyRpiswYtGOS5wGXAH9QVY8keXpbVVWSGsuJk6ygN2zDwQcfPJZdJQ11+m9PdwVtWXnJdFcwbgNduSeZSS/YL6yqf+iaH9g+3NI9P9i1bwAW9O0+v2vbQVWdV1VLqmrJvHnzdrZ+SdIwBvm0TIDzgduq6q/6Nl0BLOuWlwGX97W/q/vUzPHA1r7hG0nSFBhkWOZVwO8CtyZZ27V9EPgI8IUkZwB3A2/vtl0JvAlYBzwOLJ/IgiVJoxs13KvqeiAjbF46TP8C3jPOuiRJ4+A3VCWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDVo1HBP8ndJHkzy7b62/ZJcleT73fMLuvYk+USSdUluSbJ4MouXJA1vkCv3lcAbh7SdA1xdVYcBV3frACcCh3WPFcC5E1OmJGksRg33qroOeGhI88nAqm55FXBKX/sF1XMDMCfJgRNUqyRpQDs75n5AVd3XLd8PHNAtHwTc09dvfdcmSZpC435DtaoKqLHul2RFktVJVm/cuHG8ZUiS+uxsuD+wfbile36wa98ALOjrN79r+zlVdV5VLamqJfPmzdvJMiRJw9nZcL8CWNYtLwMu72t/V/epmeOBrX3DN5KkKTJjtA5JPge8Ftg/yXrgT4CPAF9IcgZwN/D2rvuVwJuAdcDjwPJJqFmSNIpRw72qfmeETUuH6VvAe8ZblCRpfPyGqiQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1aFLCPckbk9yeZF2ScybjHJKkkU14uCfZC/gkcCJwJPA7SY6c6PNIkkY2GVfuxwHrqurOqvoxcBFw8iScR5I0gskI94OAe/rW13dtkqQpMmO6TpxkBbCiW30sye3TVUuD9gc2TXcRo1qV6a5AU8+fzYl1yEgbJiPcNwAL+tbnd207qKrzgPMm4fx7vCSrq2rJdNchDeXP5tSZjGGZbwGHJTk0ybOBdwBXTMJ5JEkjmPAr96raluS9wFeBvYC/q6rvTPR5JEkjm5Qx96q6ErhyMo6tgTjcpV2VP5tTJFU13TVIkiaY0w9IUoMMd0lqkOEuSQ0y3CWpQYa7pEmR5L1J9u+WX5zkuiRbktyYZNF019c6w303l+T5Sf5Lks8meeeQbZ+arrok4N1VtX2qgY8DH6uqOcAfAX8zbVXtIQz33d9ngACXAO9IckmSvbttx09fWdIO36N5YVVdClBV1wKzp6WiPYjhvvv7pao6p6ouq6qTgJuAryeZO92FaY93cZKVSX4RuDTJHyQ5JMly4IfTXVzr/BLTbi7JbcAvV9VTfW2nA2cDz6uqEWeNkyZb97P4buCXgL3pTQd+GfDRqto6fZW1zyv33d8XgRP6G6pqJfA+4MfTUZDU57vAe6tqf3rDhOcD1xvsk88r94YlWV5Vn5nuOrRnSvIn9G63OQO4it5d2q4FXg98tao+PH3Vtc9wb1iSH1bVwdNdh/ZMSW4FjqE3HHM/ML+qHknyHODGqvo301lf66btTkyaGEluGWkTcMBU1iINsa2qfgo8nuQHVfUIQFU9keSpUfbVOBnuu78DgF8HHh7SHuD/Tn050tN+nOS5VfU48LLtjUn2BQz3SWa47/6+RO9TMWuHbkhy7ZRXI/3Ma6rqXwH6P80FzASWTU9Jew7H3CWpQX4UUpIaZLhLUoMMd2mIJMO+Ed19lf6tU12PtDMMd2mIqnrldNcgjZeflpGGSPJYVT0vSYD/Ru8blffgdA7ajXjlLo3szcDhwJHAuwCv6LXbMNylkb0G+FxV/bSq7gW+Pt0FSYMy3CWpQYa7NLLrgFOT7JXkQOB1012QNCjfUJVGdim9ufK/S+/OQd+c3nKkwTn9gCQ1yGEZSWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoP+P3h6rzdKpENKAAAAAElFTkSuQmCC\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
@@ -661,7 +707,7 @@
},
{
"cell_type": "code",
- "execution_count": 159,
+ "execution_count": 14,
"id": "9755ccd4",
"metadata": {},
"outputs": [
@@ -669,38 +715,50 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6\" ><caption>SUBs Summary - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> <th class=\"col_heading level0 col2\" >status</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6\" ><caption>SUBs Summary - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> <th class=\"col_heading level0 col2\" >status</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >8</th>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >amazing_sub</td>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row0_col2\" class=\"data row0 col2\" >finished</td>\n",
+ " <th id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >3</th>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >amazing_sub</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row0_col2\" class=\"data row0 col2\" >finished</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >12</th>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >horrible_sub</td>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row1_col1\" class=\"data row1 col1\" >600.000003</td>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row1_col2\" class=\"data row1 col2\" >failed</td>\n",
+ " <th id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >8</th>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >amazing_sub</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row1_col1\" class=\"data row1 col1\" >600.000003</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row1_col2\" class=\"data row1 col2\" >finished</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >21</th>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row2_col0\" class=\"data row2 col0\" >another_amazing_sub</td>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row2_col1\" class=\"data row2 col1\" >800.000003</td>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row2_col2\" class=\"data row2 col2\" >finished</td>\n",
+ " <th id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >12</th>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >horrible_sub</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row2_col1\" class=\"data row2 col1\" >600.000003</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row2_col2\" class=\"data row2 col2\" >failed</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6level0_row3\" class=\"row_heading level0 row3\" >36</th>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row3_col0\" class=\"data row3 col0\" >another_horrible_sub</td>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row3_col1\" class=\"data row3 col1\" >200.000003</td>\n",
- " <td id=\"T_2c87ab9e_9d31_11eb_81ee_000c299c9be6row3_col2\" class=\"data row3 col2\" >failed</td>\n",
+ " <th id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6level0_row3\" class=\"row_heading level0 row3\" >21</th>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row3_col0\" class=\"data row3 col0\" >another_amazing_sub</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row3_col1\" class=\"data row3 col1\" >800.000003</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row3_col2\" class=\"data row3 col2\" >finished</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6level0_row4\" class=\"row_heading level0 row4\" >36</th>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row4_col0\" class=\"data row4 col0\" >another_horrible_sub</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row4_col1\" class=\"data row4 col1\" >200.000003</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row4_col2\" class=\"data row4 col2\" >failed</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6level0_row5\" class=\"row_heading level0 row5\" >43</th>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row5_col0\" class=\"data row5 col0\" >yet_another_horrible_sub</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row5_col1\" class=\"data row5 col1\" >350.000003</td>\n",
+ " <td id=\"T_94764294_9d3e_11eb_8bbc_000c299c9be6row5_col2\" class=\"data row5 col2\" >failed</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6bb988d0>"
+ "<pandas.io.formats.style.Styler at 0x7f29ad8fdf60>"
]
},
- "execution_count": 159,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -724,13 +782,13 @@
},
{
"cell_type": "code",
- "execution_count": 255,
+ "execution_count": 15,
"id": "9cbe3a9f",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": "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\n",
+ "image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
@@ -745,7 +803,7 @@
"# Associate colors\n",
"colors = {'finished': '#60ad5e', 'failed': '#ff5f52'}\n",
"# Plot the concatenated DataFrame\n",
- "ax_subs = df_subs.plot.bar(title='Finished and Failed SUBs', y='duration', legend=False, color=list(df_subs['status'].map(colors)))"
+ "ax_subs = df_subs.plot.bar(title='SUBs Summary', y='duration', legend=False, color=list(df_subs['status'].map(colors)))"
]
},
{
@@ -758,13 +816,13 @@
},
{
"cell_type": "code",
- "execution_count": 171,
+ "execution_count": 16,
"id": "b323083e",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
@@ -800,27 +858,27 @@
},
{
"cell_type": "code",
- "execution_count": 234,
- "id": "42ec4db1",
+ "execution_count": 17,
+ "id": "336df2b9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_34c40760_9d38_11eb_81ee_000c299c9be6\" ><caption>Summary Table - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >total</th> <th class=\"col_heading level0 col1\" >total_succeeded</th> <th class=\"col_heading level0 col2\" >total_not_cancelled</th> <th class=\"col_heading level0 col3\" >total_failed</th> <th class=\"col_heading level0 col4\" >size__sum</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_99edf1ea_9d3e_11eb_8bbc_000c299c9be6\" ><caption>Summary Table - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >total</th> <th class=\"col_heading level0 col1\" >total_succeeded</th> <th class=\"col_heading level0 col2\" >total_not_cancelled</th> <th class=\"col_heading level0 col3\" >total_failed</th> <th class=\"col_heading level0 col4\" >size__sum</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_34c40760_9d38_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >high</th>\n",
- " <td id=\"T_34c40760_9d38_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >2800.000012</td>\n",
- " <td id=\"T_34c40760_9d38_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >1400.000006</td>\n",
- " <td id=\"T_34c40760_9d38_11eb_81ee_000c299c9be6row0_col2\" class=\"data row0 col2\" >1400.000006</td>\n",
- " <td id=\"T_34c40760_9d38_11eb_81ee_000c299c9be6row0_col3\" class=\"data row0 col3\" >800.000006</td>\n",
- " <td id=\"T_34c40760_9d38_11eb_81ee_000c299c9be6row0_col4\" class=\"data row0 col4\" >246</td>\n",
+ " <th id=\"T_99edf1ea_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >high</th>\n",
+ " <td id=\"T_99edf1ea_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >4000.000018</td>\n",
+ " <td id=\"T_99edf1ea_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >2000.000009</td>\n",
+ " <td id=\"T_99edf1ea_9d3e_11eb_8bbc_000c299c9be6row0_col2\" class=\"data row0 col2\" >3250.000009</td>\n",
+ " <td id=\"T_99edf1ea_9d3e_11eb_8bbc_000c299c9be6row0_col3\" class=\"data row0 col3\" >1150.000009</td>\n",
+ " <td id=\"T_99edf1ea_9d3e_11eb_8bbc_000c299c9be6row0_col4\" class=\"data row0 col4\" >246</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6c6b6240>"
+ "<pandas.io.formats.style.Styler at 0x7f29ad7f91d0>"
]
},
"metadata": {},
@@ -828,49 +886,54 @@
},
{
"data": {
- "text/html": [
- "<style type=\"text/css\" >\n",
- "</style><table id=\"T_34c48438_9d38_11eb_81ee_000c299c9be6\" ><caption>Quota - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >resource_type_id</th> <th class=\"col_heading level0 col1\" >value</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
- " <tr>\n",
- " <th id=\"T_34c48438_9d38_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >4</th>\n",
- " <td id=\"T_34c48438_9d38_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >LTA Storage</td>\n",
- " <td id=\"T_34c48438_9d38_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >1000.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_34c48438_9d38_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >11</th>\n",
- " <td id=\"T_34c48438_9d38_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >LTA Storage</td>\n",
- " <td id=\"T_34c48438_9d38_11eb_81ee_000c299c9be6row1_col1\" class=\"data row1 col1\" >2400.000000</td>\n",
- " </tr>\n",
- " </tbody></table>"
- ],
+ "image/png": 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\n",
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6b1e3f28>"
+ "<Figure size 504x360 with 1 Axes>"
]
},
- "metadata": {},
+ "metadata": {
+ "needs_background": "light"
+ },
"output_type": "display_data"
- },
+ }
+ ],
+ "source": [
+ "df_table = df.style.set_caption(f'Summary Table - {project_id}')\n",
+ "colors = {'total': '#58a5f0', 'total_not_cancelled': '#ffd95a', 'total_succeeded': '#60ad5e', 'total_failed': '#ff5f52'}\n",
+ "ax_durations = df_durations.plot.barh(title=f'Durations - {project_id}', color=colors, figsize=(7,5))\n",
+ "display(df_table)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "42ec4db1",
+ "metadata": {},
+ "outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_34c4f5da_9d38_11eb_81ee_000c299c9be6\" ><caption>Finished SUBs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> <th class=\"col_heading level0 col2\" >status</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6\" ><caption>Quota - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >resource_type_id</th> <th class=\"col_heading level0 col1\" >value</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_34c4f5da_9d38_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >8</th>\n",
- " <td id=\"T_34c4f5da_9d38_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >amazing_sub</td>\n",
- " <td id=\"T_34c4f5da_9d38_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
- " <td id=\"T_34c4f5da_9d38_11eb_81ee_000c299c9be6row0_col2\" class=\"data row0 col2\" >finished</td>\n",
+ " <th id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >2</th>\n",
+ " <td id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >LTA Storage</td>\n",
+ " <td id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >1300.000000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_34c4f5da_9d38_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >21</th>\n",
- " <td id=\"T_34c4f5da_9d38_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >another_amazing_sub</td>\n",
- " <td id=\"T_34c4f5da_9d38_11eb_81ee_000c299c9be6row1_col1\" class=\"data row1 col1\" >800.000003</td>\n",
- " <td id=\"T_34c4f5da_9d38_11eb_81ee_000c299c9be6row1_col2\" class=\"data row1 col2\" >finished</td>\n",
+ " <th id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >4</th>\n",
+ " <td id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >LTA Storage</td>\n",
+ " <td id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6row1_col1\" class=\"data row1 col1\" >1000.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >11</th>\n",
+ " <td id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >LTA Storage</td>\n",
+ " <td id=\"T_9df751aa_9d3e_11eb_8bbc_000c299c9be6row2_col1\" class=\"data row2 col1\" >2400.000000</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6b1e36d8>"
+ "<pandas.io.formats.style.Styler at 0x7f29ad779550>"
]
},
"metadata": {},
@@ -878,63 +941,54 @@
},
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- "<style type=\"text/css\" >\n",
- "</style><table id=\"T_34c59b0c_9d38_11eb_81ee_000c299c9be6\" ><caption>Failed SUBs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> <th class=\"col_heading level0 col2\" >status</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
- " <tr>\n",
- " <th id=\"T_34c59b0c_9d38_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >12</th>\n",
- " <td id=\"T_34c59b0c_9d38_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >horrible_sub</td>\n",
- " <td id=\"T_34c59b0c_9d38_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
- " <td id=\"T_34c59b0c_9d38_11eb_81ee_000c299c9be6row0_col2\" class=\"data row0 col2\" >failed</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_34c59b0c_9d38_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >36</th>\n",
- " <td id=\"T_34c59b0c_9d38_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >another_horrible_sub</td>\n",
- " <td id=\"T_34c59b0c_9d38_11eb_81ee_000c299c9be6row1_col1\" class=\"data row1 col1\" >200.000003</td>\n",
- " <td id=\"T_34c59b0c_9d38_11eb_81ee_000c299c9be6row1_col2\" class=\"data row1 col2\" >failed</td>\n",
- " </tr>\n",
- " </tbody></table>"
- ],
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\n",
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6b1e3b38>"
+ "<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
- },
+ }
+ ],
+ "source": [
+ "df_quota_table = df_quota.style.set_caption(f'Quota - {project_id}')\n",
+ "ax_quota = df_quota.plot.pie(title=f'Quota - {project_id}', y='value', figsize=(5,5))\n",
+ "display(df_quota_table)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "0ff27ce1",
+ "metadata": {},
+ "outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6\" ><caption>SUBs Summary - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> <th class=\"col_heading level0 col2\" >status</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6\" ><caption>Finished SUBs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> <th class=\"col_heading level0 col2\" >status</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >8</th>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >amazing_sub</td>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row0_col2\" class=\"data row0 col2\" >finished</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >12</th>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >horrible_sub</td>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row1_col1\" class=\"data row1 col1\" >600.000003</td>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row1_col2\" class=\"data row1 col2\" >failed</td>\n",
+ " <th id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >3</th>\n",
+ " <td id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >amazing_sub</td>\n",
+ " <td id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
+ " <td id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6row0_col2\" class=\"data row0 col2\" >finished</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >21</th>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row2_col0\" class=\"data row2 col0\" >another_amazing_sub</td>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row2_col1\" class=\"data row2 col1\" >800.000003</td>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row2_col2\" class=\"data row2 col2\" >finished</td>\n",
+ " <th id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >8</th>\n",
+ " <td id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >amazing_sub</td>\n",
+ " <td id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6row1_col1\" class=\"data row1 col1\" >600.000003</td>\n",
+ " <td id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6row1_col2\" class=\"data row1 col2\" >finished</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6level0_row3\" class=\"row_heading level0 row3\" >36</th>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row3_col0\" class=\"data row3 col0\" >another_horrible_sub</td>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row3_col1\" class=\"data row3 col1\" >200.000003</td>\n",
- " <td id=\"T_34c63454_9d38_11eb_81ee_000c299c9be6row3_col2\" class=\"data row3 col2\" >failed</td>\n",
+ " <th id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >21</th>\n",
+ " <td id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >another_amazing_sub</td>\n",
+ " <td id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6row2_col1\" class=\"data row2 col1\" >800.000003</td>\n",
+ " <td id=\"T_9ea056ec_9d3e_11eb_8bbc_000c299c9be6row2_col2\" class=\"data row2 col2\" >finished</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6aab1160>"
+ "<pandas.io.formats.style.Styler at 0x7f29ad6cea58>"
]
},
"metadata": {},
@@ -942,57 +996,56 @@
},
{
"data": {
- "text/html": [
- "<style type=\"text/css\" >\n",
- "</style><table id=\"T_34c6d0ee_9d38_11eb_81ee_000c299c9be6\" ><caption>SAPs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >total_exposure</th> </tr> <tr> <th class=\"index_name level0\" >sap_name</th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
- " <tr>\n",
- " <th id=\"T_34c6d0ee_9d38_11eb_81ee_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >sap_1</th>\n",
- " <td id=\"T_34c6d0ee_9d38_11eb_81ee_000c299c9be6row0_col0\" class=\"data row0 col0\" >340.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_34c6d0ee_9d38_11eb_81ee_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >sap_2</th>\n",
- " <td id=\"T_34c6d0ee_9d38_11eb_81ee_000c299c9be6row1_col0\" class=\"data row1 col0\" >195.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_34c6d0ee_9d38_11eb_81ee_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >sap_3</th>\n",
- " <td id=\"T_34c6d0ee_9d38_11eb_81ee_000c299c9be6row2_col0\" class=\"data row2 col0\" >235.000000</td>\n",
- " </tr>\n",
- " </tbody></table>"
- ],
+ "image/png": "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\n",
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7faf6b1e3908>"
+ "<Figure size 360x360 with 1 Axes>"
]
},
- "metadata": {},
+ "metadata": {
+ "needs_background": "light"
+ },
"output_type": "display_data"
}
],
"source": [
- "# First let's add a caption for each table\n",
- "df_table = df.style.set_caption(f'Summary Table - {project_id}')\n",
- "df_quota_table = df_quota.style.set_caption(f'Quota - {project_id}')\n",
"df_subs_finished_table = df_subs_finished.style.set_caption(f'Finished SUBs - {project_id}')\n",
- "df_subs_failed_table = df_subs_failed.style.set_caption(f'Failed SUBs - {project_id}')\n",
- "df_subs_table = df_subs.style.set_caption(f'SUBs Summary - {project_id}')\n",
- "df_saps_table = df_saps.style.set_caption(f'SAPs - {project_id}')\n",
- "\n",
- "# Dispaly all of the DataFrames\n",
- "display(df_table, df_quota_table, df_subs_finished_table, df_subs_failed_table, df_subs_table, df_saps_table)"
+ "df_subs_finished.plot.bar(title=f'Finished SUBs - {project_id}', color='#60ad5e', figsize=(5,5))\n",
+ "display(df_subs_finished_table)"
]
},
{
"cell_type": "code",
- "execution_count": 260,
- "id": "ebb46f8e",
- "metadata": {
- "scrolled": false
- },
+ "execution_count": 20,
+ "id": "f2256a8e",
+ "metadata": {},
"outputs": [
{
"data": {
- "image/png": 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+ "<style type=\"text/css\" >\n",
+ "</style><table id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6\" ><caption>Failed SUBs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> <th class=\"col_heading level0 col2\" >status</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >12</th>\n",
+ " <td id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >horrible_sub</td>\n",
+ " <td id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
+ " <td id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6row0_col2\" class=\"data row0 col2\" >failed</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >36</th>\n",
+ " <td id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >another_horrible_sub</td>\n",
+ " <td id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6row1_col1\" class=\"data row1 col1\" >200.000003</td>\n",
+ " <td id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6row1_col2\" class=\"data row1 col2\" >failed</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >43</th>\n",
+ " <td id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >yet_another_horrible_sub</td>\n",
+ " <td id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6row2_col1\" class=\"data row2 col1\" >350.000003</td>\n",
+ " <td id=\"T_9f394c08_9d3e_11eb_8bbc_000c299c9be6row2_col2\" class=\"data row2 col2\" >failed</td>\n",
+ " </tr>\n",
+ " </tbody></table>"
+ ],
"text/plain": [
- "<Figure size 360x360 with 1 Axes>"
+ "<pandas.io.formats.style.Styler at 0x7f29ad828eb8>"
]
},
"metadata": {},
@@ -1000,7 +1053,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
@@ -1009,48 +1062,137 @@
"needs_background": "light"
},
"output_type": "display_data"
- },
+ }
+ ],
+ "source": [
+ "ax_subs_failed = df_subs_failed.plot.bar(title=f'Failed SUBs - {project_id}', color='#ff5f52', figsize=(5,5))\n",
+ "df_subs_failed_table = df_subs_failed.style.set_caption(f'Failed SUBs - {project_id}')\n",
+ "display(df_subs_failed_table)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "9cc39543",
+ "metadata": {},
+ "outputs": [
{
"data": {
- "image/png": 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\n",
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+ "<style type=\"text/css\" >\n",
+ "</style><table id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6\" ><caption>SUBs Summary - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >name</th> <th class=\"col_heading level0 col1\" >duration</th> <th class=\"col_heading level0 col2\" >status</th> </tr> <tr> <th class=\"index_name level0\" >id</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >3</th>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >amazing_sub</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row0_col1\" class=\"data row0 col1\" >600.000003</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row0_col2\" class=\"data row0 col2\" >finished</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >8</th>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >amazing_sub</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row1_col1\" class=\"data row1 col1\" >600.000003</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row1_col2\" class=\"data row1 col2\" >finished</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >12</th>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >horrible_sub</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row2_col1\" class=\"data row2 col1\" >600.000003</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row2_col2\" class=\"data row2 col2\" >failed</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6level0_row3\" class=\"row_heading level0 row3\" >21</th>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row3_col0\" class=\"data row3 col0\" >another_amazing_sub</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row3_col1\" class=\"data row3 col1\" >800.000003</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row3_col2\" class=\"data row3 col2\" >finished</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6level0_row4\" class=\"row_heading level0 row4\" >36</th>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row4_col0\" class=\"data row4 col0\" >another_horrible_sub</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row4_col1\" class=\"data row4 col1\" >200.000003</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row4_col2\" class=\"data row4 col2\" >failed</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6level0_row5\" class=\"row_heading level0 row5\" >43</th>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row5_col0\" class=\"data row5 col0\" >yet_another_horrible_sub</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row5_col1\" class=\"data row5 col1\" >350.000003</td>\n",
+ " <td id=\"T_9fb751ac_9d3e_11eb_8bbc_000c299c9be6row5_col2\" class=\"data row5 col2\" >failed</td>\n",
+ " </tr>\n",
+ " </tbody></table>"
+ ],
"text/plain": [
- "<Figure size 360x360 with 1 Axes>"
+ "<pandas.io.formats.style.Styler at 0x7f29ad649c88>"
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
- "<Figure size 360x360 with 1 Axes>"
+ "<Figure size 504x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
- },
+ }
+ ],
+ "source": [
+ "df_subs_table = df_subs.style.set_caption(f'SUBs Summary - {project_id}')\n",
+ "colors = {'finished': '#60ad5e', 'failed': '#ff5f52'}\n",
+ "ax_subs = df_subs.plot.bar(title=f'SUBs Summary - {project_id}', y='duration', legend=False, figsize=(7,5), color=list(df_subs['status'].map(colors)))\n",
+ "display(df_subs_table)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "ebb46f8e",
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
{
"data": {
- "image/png": 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\n",
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+ "</style><table id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6\" ><caption>SAPs - high</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >total_exposure</th> </tr> <tr> <th class=\"index_name level0\" >sap_name</th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6level0_row0\" class=\"row_heading level0 row0\" >sap_1</th>\n",
+ " <td id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6row0_col0\" class=\"data row0 col0\" >340.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6level0_row1\" class=\"row_heading level0 row1\" >sap_2</th>\n",
+ " <td id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6row1_col0\" class=\"data row1 col0\" >195.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6level0_row2\" class=\"row_heading level0 row2\" >sap_3</th>\n",
+ " <td id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6row2_col0\" class=\"data row2 col0\" >235.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6level0_row3\" class=\"row_heading level0 row3\" >sap_4</th>\n",
+ " <td id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6row3_col0\" class=\"data row3 col0\" >345.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6level0_row4\" class=\"row_heading level0 row4\" >sap_5</th>\n",
+ " <td id=\"T_a0639502_9d3e_11eb_8bbc_000c299c9be6row4_col0\" class=\"data row4 col0\" >137.000000</td>\n",
+ " </tr>\n",
+ " </tbody></table>"
+ ],
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+ "<pandas.io.formats.style.Styler at 0x7f29ad6a8908>"
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{
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cvQY4CRiRPWYC15W8ajOzInUYfhGxPiKezabfBlYBBwFTgQVZtwXAtGx6KrAwcp4EBkoaXOrCzcyK0aVjfpKGAUcATwF1EbE+m/UaUJdNHwS8mrdYc9ZmZtZjdDr8JPUH7gD+ISL+lD8vIgKIrryxpJmSlkla1tLS0pVFzcyK1qnwk9SHXPDdEhE/y5pfb9udzZ7fyNrXAUPzFh+Stb1HRMyLiIaIaKitrS20fjOzgnTmbK+A+cCqiPi3vFn3AGdn02cDd+e1n5Wd9T0K2JS3e2xm1iPs3Yk+44EzgeckNWZt/whcBdwm6VzgFeD0bN79wMnAWmAL8IVSFmy9wOrPV7qCwh1yS6UrsG7SYfhFxOOAdjP7+Hb6BzC7yLrMzMrKV3iYWZIcfmaWJIefmSXJ4WdmSXL4mVmSHH5mliSHn5klyeFnZkly+JlZkhx+ZpYkh5+ZJcnhZ2ZJcviZWZIcfmaWJIefmSXJ4WdmSXL4mVmSHH5mliSHn5klyeFnZkly+JlZkhx+ZpYkh5+ZJcnhZ2ZJcviZWZIcfmaWJIefmSXJ4WdmSXL4mVmSOgw/STdJekPSyry2OZLWSWrMHifnzfumpLWSXpI0uVyFm5kVozNbfjcDU9ppnxsR9dnjfgBJhwJnAIdly/xQUk2pijUzK5UOwy8iFgN/7OT6pgI/iYhtEfF7YC0wroj6zMzKophjfhdJWpHtFu+ftR0EvJrXpzlrMzPrUQoNv+uAjwH1wHrgX7u6AkkzJS2TtKylpaXAMszMClNQ+EXE6xHRGhE7gRv5y67tOmBoXtchWVt765gXEQ0R0VBbW1tIGWZmBSso/CQNznt5KtB2Jvge4AxJH5Q0HBgBPF1ciWZmpbd3Rx0k/Rg4FjhAUjPwbeBYSfVAAE3A+QAR8byk24AXgB3A7IhoLUvlZmZF6DD8ImJ6O83z99D/SuDKYooyMys3X+FhZkly+JlZkhx+ZpYkh5+ZJcnhZ2ZJcviZWZIcfmaWJIefmSXJ4WdmSXL4mVmSHH5mliSHn5klyeFnZkly+JlZkhx+ZpYkh5+ZJcnhZ2ZJcviZWZIcfmaWJIefmSXJ4WdmSXL4mVmSHH5mliSHn5klyeFnZkly+JlZkhx+ZpYkh5+ZJcnhZ2ZJ6jD8JN0k6Q1JK/PaPizpIUlrsuf9s3ZJ+r6ktZJWSBpTzuLNzArVmS2/m4Epu7RdBjwcESOAh7PXACcBI7LHTOC60pRpZlZaHYZfRCwG/rhL81RgQTa9AJiW174wcp4EBkoaXKJazcxKptBjfnURsT6bfg2oy6YPAl7N69ectZmZ9ShFn/CIiACiq8tJmilpmaRlLS0txZZhZtYlhYbf6227s9nzG1n7OmBoXr8hWdv7RMS8iGiIiIba2toCyzAzK0yh4XcPcHY2fTZwd177WdlZ36OATXm7x2ZmPcbeHXWQ9GPgWOAASc3At4GrgNsknQu8Apyedb8fOBlYC2wBvlCGms3MitZh+EXE9N3MOr6dvgHMLrYoM7Ny8xUeZpYkh5+ZJcnhZ2ZJcviZWZIcfmaWJIefmSXJ4WdmSXL4mVmSHH5mliSHn5klyeFnZkly+JlZkhx+ZpYkh5+ZJcnhZ2ZJcviZWZIcfmaWJIefmSXJ4WdmSXL4mVmSHH5mliSHn5klyeFnZkly+JlZkhx+ZpYkh5+ZJcnhZ2ZJcviZWZIcfmaWpL2LWVhSE/A20ArsiIgGSR8GbgWGAU3A6RHxVnFlmpmVVim2/CZFRH1ENGSvLwMejogRwMPZazOzHqUcu71TgQXZ9AJgWhnew8ysKMWGXwAPSnpG0sysrS4i1mfTrwF1Rb6HmVnJFXXMDzgmItZJ+ivgIUkv5s+MiJAU7S2YheVMgIMPPrjIMszMuqaoLb+IWJc9vwHcCYwDXpc0GCB7fmM3y86LiIaIaKitrS2mDDOzLis4/CTtI2lA2zRwIrASuAc4O+t2NnB3sUWamZVaMbu9dcCdktrWsygifiFpKXCbpHOBV4DTiy/TzKy0Cg6/iPgdMLqd9g3A8cUUZWZWbr7Cw8yS5PAzsyQ5/MwsSQ4/M0uSw8/MkuTwM7MkOfzMLEkOPzNLksPPzJLk8DOzJDn8zCxJDj8zS5LDz8yS5PAzsyQ5/MwsSQ4/M0uSw8/MkuTwM7MkOfzMLEkOPzNLksPPzJLk8DOzJDn8zCxJDj8zS5LDz8yS5PAzsyQ5/MwsSQ4/M0uSw8/MklS28JM0RdJLktZKuqxc72NmVoiyhJ+kGuAHwEnAocB0SYeW473MzApRri2/ccDaiPhdRPwZ+AkwtUzvZWbWZeUKv4OAV/NeN2dtZmY9wt6VemNJM4GZ2cvNkl6qVC1FOgB4szyrXlSe1fZ+HvPu11vH/KO7m1Gu8FsHDM17PSRre1dEzAPmlen9u42kZRHRUOk6UuIx737VOObl2u1dCoyQNFzSB4AzgHvK9F5mZl1Wli2/iNgh6SLgAaAGuCkini/He5mZFaJsx/wi4n7g/nKtvwfp9bvuvZDHvPtV3ZgrIipdg5lZt/PlbWaWJIefmSXJ4WdmSXL4lYik/pWuwaxcJH240jWUmsOvdF6odAHVSNLhkp6U9KqkeZL2z5v3dCVrq1aSxktaJel5SUdKeghYmv0bHF3p+kqlYpe39UaSvrK7WYC3/MrjOmAO8CRwHvC4pL+NiJeBPpUsrIrNBU4n9zd9HzAtIh6XNAa4FhhfyeJKxeHXNf8CXA3saGeet6LLY0BE/CKbvkbSM8AvJJ0J+Hta5dEnIp4DkNQSEY8DRMSzkvpVtrTScfh1zbPAXRHxzK4zJJ1XgXqSIGm/iNgEEBGPSvoMcAdQdceheoj8/8i/ucu8D3RnIeXkrZWu+QLwym7mVdVF3z3Id4FP5DdExArgeOBnFamo+l0u6UMAEXFXW6OkjwELK1VUqfkKjzKQdG1EfKnSdaTEY979evuYe8uvPKrigHAv4zHvfr16zB1+ZpYkh5+ZJcnhVx6qdAEJ8ph3v1495g6/IkjaV9KAdmb9R7cXkwiPefer1jH32d4CSBoL3AQMIPe/30bgnPa+/2el4THvftU+5g6/AkhaAcyOiMey18cAP4yIUZWtrHp5zLtftY+5d3sL09r2BwGQXf7T3iVvVjoe8+5X1WPuLb8CSPp3oB/wY3LXl34W2Ar8N+SugaxYcVXKY979qn3MHX4FkPToHmZHRBzXbcUkwmPe/ap9zB1+ZpYk39WlQJI+DRwG9G1ri4h/rlxF1c9j3v2qecx9wqMAkq4nd/zjS+S+AnAa8NGKFlXlPObdr9rH3Lu9BZC0IiJG5T33B34eERMqXVu18ph3v2ofc2/5FWZr9rxF0oHkTv8PrmA9KfCYd7+qHnMf8yvM/0gaSO6W9s+S+xrAjRWtqPp5zLtfVY+5w68wL5L7Augdkg4FxgB3Vbakqucx735VPebe7S3M5RHxdna5z3HAf5H7lTErH49596vqMXf4FaY1e/40cGNE3EcV/bBLD+Ux735VPeYOv8Ksk3QDua8B3C/pg3gsy81j3v2qesz9VZcCZL9sNQV4LiLWSBoMHB4RD1a4tKrlMe9+1T7mDj8zS1LVbMKamXWFw8/MkuTwM7MkOfzMLEkOPyspSftIuk/SckkrJX1W0j9JWpq9nidJWd9fSfoPSY3ZvHF7WO8cSTdly/xO0sV58+6S9Iyk5yXNzGvfLOnqrP2XksblLf+3WZ+arM9SSSsknV/O8bGew+FnpTYF+ENEjI6IkcAvgP+MiLHZ637AKXn9PxQR9cAscr8UticfByYD44BvS+qTtZ8TEZ8EGoCLJQ3K2vcBHomIw4C3gSuAE4BTgbZ70p0LbIqIscBY4IuShhf42a0XcfhZqT0HnCDpu5ImRMQmYJKkpyQ9R+4yqcPy+v8YICIWA/tmF9Lvzn0RsS0i3gTeAOqy9oslLQeeBIYCI7L2P5ML37a6fh0R27PpYVn7icBZkhqBp4BBectbFfONDaykImK1pDHAycAVkh4GZgMNEfGqpDnk3RWY3J1C2MPrfNvypluBvSUdC/wNcHREbJH0q7z1b4+/fJF1Z9vyEbFTUtvfvoAvRcQDnf+UVg285Wclld33bUtE/De5WyGNyWa9md0M8+92WeSz2XLHkNv93NTFt9wPeCsLvo8DR3Vx+QeAC9t2oSUdImmfLq7DeiFv+VmpHQ5cLWknsB24EJgGrAReA5bu0n+rpN8CfYBzCni/XwAXSFoFvERu17cr/ovcLvCz2YmYlqxeq3K+vM0qJttF/VpELKt0LZYe7/aaWZK85Wc9iqQvAJfs0vybiJhdiXqsejn8zCxJ3u01syQ5/MwsSQ4/M0uSw8/MkuTwM7Mk/X8gn05SzuGLUQAAAABJRU5ErkJggg==\n",
+ "image/png": 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\n",
"text/plain": [
- "<Figure size 360x360 with 1 Axes>"
+ "<Figure size 504x360 with 1 Axes>"
]
},
"metadata": {
@@ -1060,21 +1202,15 @@
}
],
"source": [
- "# Plot a bar graph for each DataFrame\n",
- "ax_quota = df_quota.plot.pie(title=f'Quota - {project_id}', y='value', figsize=(5,5))\n",
- "colors = {'total': '#58a5f0', 'total_not_cancelled': '#ffd95a', 'total_succeeded': '#60ad5e', 'total_failed': '#ff5f52'}\n",
- "ax_durations = df_durations.plot.barh( title=f'Durations - {project_id}', color=colors, figsize=(5,5))\n",
- "df_subs_finished.plot.bar(title='Finished SUBs', color='#60ad5e', figsize=(5,5))\n",
- "ax_subs_failed = df_subs_failed.plot.bar(title='Failed SUBs', color='#ff5f52', figsize=(5,5))\n",
- "colors = {'finished': '#60ad5e', 'failed': '#ff5f52'}\n",
- "ax_subs = df_subs.plot.bar(title='Finished and Failed SUBs', y='duration', legend=False, figsize=(5,5), color=list(df_subs['status'].map(colors)))\n",
- "ax_saps = df_saps.plot.bar(title='SAPs', color=['#ffd95a'], figsize=(5,5))"
+ "df_saps_table = df_saps.style.set_caption(f'SAPs - {project_id}')\n",
+ "ax_saps = df_saps.plot.bar(title=f'SAPs - {project_id}', color=['#ffd95a'], figsize=(7,5))\n",
+ "display(df_saps_table)"
]
},
{
"cell_type": "code",
"execution_count": null,
- "id": "32157b96",
+ "id": "9d40699f",
"metadata": {},
"outputs": [],
"source": []