feat: improve embedded data table in text reports (#16335)

* feat: improve HTML table in text reports * Remove unused import * Update tests * Fix test
2026-04-19 08:04:53 +00:00 · 2021-08-18 17:00:29 -07:00
parent efe850b731
commit afb8bd5fe6
11 changed files with 295 additions and 428 deletions
--- a/tests/unit_tests/charts/test_post_processing.py
+++ b/tests/unit_tests/charts/test_post_processing.py
@@ -15,265 +15,9 @@
 # specific language governing permissions and limitations
 # under the License.

-import copy
-from typing import Any, Dict
-
 import pandas as pd

-from superset.charts.post_processing import apply_post_process, pivot_df
-from superset.utils.core import GenericDataType, QueryStatus
-
-RESULT: Dict[str, Any] = {
-    "query_context": None,
-    "queries": [
-        {
-            "cache_key": "1bd3ab8c01e98a0e349fb61bc76d9b90",
-            "cached_dttm": None,
-            "cache_timeout": 86400,
-            "annotation_data": {},
-            "error": None,
-            "is_cached": None,
-            "query": """SELECT state AS state,
-       gender AS gender,
-       sum(num) AS \"Births\"
-FROM birth_names
-WHERE ds >= TO_TIMESTAMP('1921-07-28 00:00:00.000000', 'YYYY-MM-DD HH24:MI:SS.US')
-  AND ds < TO_TIMESTAMP('2021-07-28 10:39:44.000000', 'YYYY-MM-DD HH24:MI:SS.US')
-GROUP BY state,
-         gender
-LIMIT 50000;
-
-""",
-            "status": QueryStatus.SUCCESS,
-            "stacktrace": None,
-            "rowcount": 22,
-            "colnames": ["state", "gender", "Births"],
-            "coltypes": [
-                GenericDataType.STRING,
-                GenericDataType.STRING,
-                GenericDataType.NUMERIC,
-            ],
-            "data": """state,gender,Births
-OH,boy,2376385
-TX,girl,2313186
-MA,boy,1285126
-MA,girl,842146
-PA,boy,2390275
-NY,boy,3543961
-FL,boy,1968060
-TX,boy,3311985
-NJ,boy,1486126
-CA,girl,3567754
-CA,boy,5430796
-IL,girl,1614427
-FL,girl,1312593
-NY,girl,2280733
-NJ,girl,992702
-MI,girl,1326229
-other,girl,15058341
-other,boy,22044909
-MI,boy,1938321
-IL,boy,2357411
-PA,girl,1615383
-OH,girl,1622814
-            """,
-            "applied_filters": [],
-            "rejected_filters": [],
-        }
-    ],
-}
-
-
-def test_pivot_table():
-    form_data = {
-        "adhoc_filters": [],
-        "columns": ["state"],
-        "datasource": "3__table",
-        "date_format": "smart_date",
-        "extra_form_data": {},
-        "granularity_sqla": "ds",
-        "groupby": ["gender"],
-        "metrics": [
-            {
-                "aggregate": "SUM",
-                "column": {"column_name": "num", "type": "BIGINT"},
-                "expressionType": "SIMPLE",
-                "label": "Births",
-                "optionName": "metric_11",
-            }
-        ],
-        "number_format": "SMART_NUMBER",
-        "order_desc": True,
-        "pandas_aggfunc": "sum",
-        "pivot_margins": True,
-        "row_limit": 50000,
-        "slice_id": 143,
-        "time_grain_sqla": "P1D",
-        "time_range": "100 years ago : now",
-        "time_range_endpoints": ["inclusive", "exclusive"],
-        "url_params": {},
-        "viz_type": "pivot_table",
-    }
-    result = copy.deepcopy(RESULT)
-    assert apply_post_process(result, form_data) == {
-        "query_context": None,
-        "queries": [
-            {
-                "cache_key": "1bd3ab8c01e98a0e349fb61bc76d9b90",
-                "cached_dttm": None,
-                "cache_timeout": 86400,
-                "annotation_data": {},
-                "error": None,
-                "is_cached": None,
-                "query": """SELECT state AS state,
-       gender AS gender,
-       sum(num) AS \"Births\"
-FROM birth_names
-WHERE ds >= TO_TIMESTAMP('1921-07-28 00:00:00.000000', 'YYYY-MM-DD HH24:MI:SS.US')
-  AND ds < TO_TIMESTAMP('2021-07-28 10:39:44.000000', 'YYYY-MM-DD HH24:MI:SS.US')
-GROUP BY state,
-         gender
-LIMIT 50000;
-
-""",
-                "status": QueryStatus.SUCCESS,
-                "stacktrace": None,
-                "rowcount": 3,
-                "colnames": [
-                    "Births CA",
-                    "Births FL",
-                    "Births IL",
-                    "Births MA",
-                    "Births MI",
-                    "Births NJ",
-                    "Births NY",
-                    "Births OH",
-                    "Births PA",
-                    "Births TX",
-                    "Births other",
-                    "Births Subtotal",
-                    "Total (Sum)",
-                ],
-                "coltypes": [
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                ],
-                "data": """,Births CA,Births FL,Births IL,Births MA,Births MI,Births NJ,Births NY,Births OH,Births PA,Births TX,Births other,Births Subtotal,Total (Sum)
-boy,5430796,1968060,2357411,1285126,1938321,1486126,3543961,2376385,2390275,3311985,22044909,48133355,48133355
-girl,3567754,1312593,1614427,842146,1326229,992702,2280733,1622814,1615383,2313186,15058341,32546308,32546308
-Total (Sum),8998550,3280653,3971838,2127272,3264550,2478828,5824694,3999199,4005658,5625171,37103250,80679663,80679663
-""",
-                "applied_filters": [],
-                "rejected_filters": [],
-            }
-        ],
-    }
-
-
-def test_pivot_table_v2():
-    form_data = {
-        "adhoc_filters": [],
-        "aggregateFunction": "Sum as Fraction of Rows",
-        "colOrder": "key_a_to_z",
-        "colTotals": True,
-        "combineMetric": True,
-        "datasource": "3__table",
-        "date_format": "smart_date",
-        "extra_form_data": {},
-        "granularity_sqla": "ds",
-        "groupbyColumns": ["state"],
-        "groupbyRows": ["gender"],
-        "metrics": [
-            {
-                "aggregate": "SUM",
-                "column": {"column_name": "num", "type": "BIGINT"},
-                "expressionType": "SIMPLE",
-                "label": "Births",
-                "optionName": "metric_11",
-            }
-        ],
-        "metricsLayout": "COLUMNS",
-        "rowOrder": "key_a_to_z",
-        "rowTotals": True,
-        "row_limit": 50000,
-        "slice_id": 72,
-        "time_grain_sqla": None,
-        "time_range": "100 years ago : now",
-        "time_range_endpoints": ["inclusive", "exclusive"],
-        "transposePivot": True,
-        "url_params": {},
-        "valueFormat": "SMART_NUMBER",
-        "viz_type": "pivot_table_v2",
-    }
-    result = copy.deepcopy(RESULT)
-    assert apply_post_process(result, form_data) == {
-        "query_context": None,
-        "queries": [
-            {
-                "cache_key": "1bd3ab8c01e98a0e349fb61bc76d9b90",
-                "cached_dttm": None,
-                "cache_timeout": 86400,
-                "annotation_data": {},
-                "error": None,
-                "is_cached": None,
-                "query": """SELECT state AS state,
-       gender AS gender,
-       sum(num) AS \"Births\"
-FROM birth_names
-WHERE ds >= TO_TIMESTAMP('1921-07-28 00:00:00.000000', 'YYYY-MM-DD HH24:MI:SS.US')
-  AND ds < TO_TIMESTAMP('2021-07-28 10:39:44.000000', 'YYYY-MM-DD HH24:MI:SS.US')
-GROUP BY state,
-         gender
-LIMIT 50000;
-
-""",
-                "status": QueryStatus.SUCCESS,
-                "stacktrace": None,
-                "rowcount": 12,
-                "colnames": [
-                    "boy Births",
-                    "boy Subtotal",
-                    "girl Births",
-                    "girl Subtotal",
-                    "Total (Sum as Fraction of Rows)",
-                ],
-                "coltypes": [
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                    GenericDataType.NUMERIC,
-                ],
-                "data": """,boy Births,boy Subtotal,girl Births,girl Subtotal,Total (Sum as Fraction of Rows)
-CA,0.6035190113962805,0.6035190113962805,0.3964809886037195,0.3964809886037195,1.0
-FL,0.5998988615985903,0.5998988615985903,0.4001011384014097,0.4001011384014097,1.0
-IL,0.5935315085862012,0.5935315085862012,0.40646849141379887,0.40646849141379887,1.0
-MA,0.6041192663655611,0.6041192663655611,0.3958807336344389,0.3958807336344389,1.0
-MI,0.5937482960898133,0.5937482960898133,0.4062517039101867,0.4062517039101867,1.0
-NJ,0.5995276800165239,0.5995276800165239,0.40047231998347604,0.40047231998347604,1.0
-NY,0.6084372844307357,0.6084372844307357,0.39156271556926425,0.39156271556926425,1.0
-OH,0.5942152416021308,0.5942152416021308,0.40578475839786915,0.40578475839786915,1.0
-PA,0.596724682935987,0.596724682935987,0.40327531706401293,0.40327531706401293,1.0
-TX,0.5887794344385264,0.5887794344385264,0.41122056556147357,0.41122056556147357,1.0
-other,0.5941503507105172,0.5941503507105172,0.40584964928948275,0.40584964928948275,1.0
-Total (Sum as Fraction of Rows),6.576651618170867,6.576651618170867,4.423348381829133,4.423348381829133,11.0
-""",
-                "applied_filters": [],
-                "rejected_filters": [],
-            }
-        ],
-    }
+from superset.charts.post_processing import pivot_df


 def test_pivot_df_no_cols_no_rows_single_metric():
@@ -307,9 +51,9 @@ def test_pivot_df_no_cols_no_rows_single_metric():
    assert (
        pivoted.to_markdown()
        == """
-| metric      |    SUM(num) |
-|:------------|------------:|
-| Total (Sum) | 8.06797e+07 |
+|                  |   ('SUM(num)',) |
+|:-----------------|----------------:|
+| ('Total (Sum)',) |     8.06797e+07 |
    """.strip()
    )

@@ -329,9 +73,9 @@ def test_pivot_df_no_cols_no_rows_single_metric():
    assert (
        pivoted.to_markdown()
        == """
-| metric      |    SUM(num) |
-|:------------|------------:|
-| Total (Sum) | 8.06797e+07 |
+|                  |   ('SUM(num)',) |
+|:-----------------|----------------:|
+| ('Total (Sum)',) |     8.06797e+07 |
    """.strip()
    )

@@ -352,9 +96,9 @@ def test_pivot_df_no_cols_no_rows_single_metric():
    assert (
        pivoted.to_markdown()
        == """
-|          |   Total (Sum) |
-|:---------|--------------:|
-| SUM(num) |   8.06797e+07 |
+|               |   ('Total (Sum)',) |
+|:--------------|-------------------:|
+| ('SUM(num)',) |        8.06797e+07 |
    """.strip()
    )

@@ -374,9 +118,9 @@ def test_pivot_df_no_cols_no_rows_single_metric():
    assert (
        pivoted.to_markdown()
        == """
-| metric      |   ('SUM(num)',) |   ('Total (Sum)',) |
-|:------------|----------------:|-------------------:|
-| Total (Sum) |     8.06797e+07 |        8.06797e+07 |
+|                  |   ('SUM(num)',) |   ('Total (Sum)',) |
+|:-----------------|----------------:|-------------------:|
+| ('Total (Sum)',) |     8.06797e+07 |        8.06797e+07 |
    """.strip()
    )

@@ -412,9 +156,9 @@ def test_pivot_df_no_cols_no_rows_two_metrics():
    assert (
        pivoted.to_markdown()
        == """
-| metric      |    SUM(num) |   MAX(num) |
-|:------------|------------:|-----------:|
-| Total (Sum) | 8.06797e+07 |      37296 |
+|                  |   ('SUM(num)',) |   ('MAX(num)',) |
+|:-----------------|----------------:|----------------:|
+| ('Total (Sum)',) |     8.06797e+07 |           37296 |
    """.strip()
    )

@@ -434,9 +178,9 @@ def test_pivot_df_no_cols_no_rows_two_metrics():
    assert (
        pivoted.to_markdown()
        == """
-| metric      |    SUM(num) |   MAX(num) |
-|:------------|------------:|-----------:|
-| Total (Sum) | 8.06797e+07 |      37296 |
+|                  |   ('SUM(num)',) |   ('MAX(num)',) |
+|:-----------------|----------------:|----------------:|
+| ('Total (Sum)',) |     8.06797e+07 |           37296 |
    """.strip()
    )

@@ -457,10 +201,10 @@ def test_pivot_df_no_cols_no_rows_two_metrics():
    assert (
        pivoted.to_markdown()
        == """
-|          |     Total (Sum) |
-|:---------|----------------:|
-| SUM(num) |     8.06797e+07 |
-| MAX(num) | 37296           |
+|               |   ('Total (Sum)',) |
+|:--------------|-------------------:|
+| ('SUM(num)',) |        8.06797e+07 |
+| ('MAX(num)',) |    37296           |
    """.strip()
    )

@@ -481,9 +225,9 @@ def test_pivot_df_no_cols_no_rows_two_metrics():
    assert (
        pivoted.to_markdown()
        == """
-| metric      |   ('SUM(num)',) |   ('MAX(num)',) |   ('Total (Sum)',) |
-|:------------|----------------:|----------------:|-------------------:|
-| Total (Sum) |     8.06797e+07 |           37296 |         8.0717e+07 |
+|                  |   ('SUM(num)',) |   ('MAX(num)',) |   ('Total (Sum)',) |
+|:-----------------|----------------:|----------------:|-------------------:|
+| ('Total (Sum)',) |     8.06797e+07 |           37296 |         8.0717e+07 |
    """.strip()
    )

@@ -524,10 +268,10 @@ def test_pivot_df_single_row_two_metrics():
    assert (
        pivoted.to_markdown()
        == """
-| gender   |   SUM(num) |   MAX(num) |
-|:---------|-----------:|-----------:|
-| boy      |      47123 |       1280 |
-| girl     |     118065 |       2588 |
+|           |   ('SUM(num)',) |   ('MAX(num)',) |
+|:----------|----------------:|----------------:|
+| ('boy',)  |           47123 |            1280 |
+| ('girl',) |          118065 |            2588 |
    """.strip()
    )

@@ -547,9 +291,9 @@ def test_pivot_df_single_row_two_metrics():
    assert (
        pivoted.to_markdown()
        == """
-| metric      |   ('SUM(num)', 'boy') |   ('SUM(num)', 'girl') |   ('MAX(num)', 'boy') |   ('MAX(num)', 'girl') |
-|:------------|----------------------:|-----------------------:|----------------------:|-----------------------:|
-| Total (Sum) |                 47123 |                 118065 |                  1280 |                   2588 |
+|                  |   ('SUM(num)', 'boy') |   ('SUM(num)', 'girl') |   ('MAX(num)', 'boy') |   ('MAX(num)', 'girl') |
+|:-----------------|----------------------:|-----------------------:|----------------------:|-----------------------:|
+| ('Total (Sum)',) |                 47123 |                 118065 |                  1280 |                   2588 |
    """.strip()
    )

@@ -569,10 +313,10 @@ def test_pivot_df_single_row_two_metrics():
    assert (
        pivoted.to_markdown()
        == """
-| gender   |   SUM(num) |   MAX(num) |
-|:---------|-----------:|-----------:|
-| boy      |      47123 |       1280 |
-| girl     |     118065 |       2588 |
+|           |   ('SUM(num)',) |   ('MAX(num)',) |
+|:----------|----------------:|----------------:|
+| ('boy',)  |           47123 |            1280 |
+| ('girl',) |          118065 |            2588 |
    """.strip()
    )

@@ -616,15 +360,15 @@ def test_pivot_df_single_row_two_metrics():
    assert (
        pivoted.to_markdown()
        == """
-|                          |   Total (Sum) |
-|:-------------------------|--------------:|
-| ('SUM(num)', 'boy')      |         47123 |
-| ('SUM(num)', 'girl')     |        118065 |
-| ('SUM(num)', 'Subtotal') |        165188 |
-| ('MAX(num)', 'boy')      |          1280 |
-| ('MAX(num)', 'girl')     |          2588 |
-| ('MAX(num)', 'Subtotal') |          3868 |
-| ('Total (Sum)', '')      |        169056 |
+|                          |   ('Total (Sum)',) |
+|:-------------------------|-------------------:|
+| ('SUM(num)', 'boy')      |              47123 |
+| ('SUM(num)', 'girl')     |             118065 |
+| ('SUM(num)', 'Subtotal') |             165188 |
+| ('MAX(num)', 'boy')      |               1280 |
+| ('MAX(num)', 'girl')     |               2588 |
+| ('MAX(num)', 'Subtotal') |               3868 |
+| ('Total (Sum)', '')      |             169056 |
    """.strip()
    )

@@ -644,15 +388,15 @@ def test_pivot_df_single_row_two_metrics():
    assert (
        pivoted.to_markdown()
        == """
-|                      |   Total (Sum) |
-|:---------------------|--------------:|
-| ('boy', 'SUM(num)')  |         47123 |
-| ('boy', 'MAX(num)')  |          1280 |
-| ('boy', 'Subtotal')  |         48403 |
-| ('girl', 'SUM(num)') |        118065 |
-| ('girl', 'MAX(num)') |          2588 |
-| ('girl', 'Subtotal') |        120653 |
-| ('Total (Sum)', '')  |        169056 |
+|                      |   ('Total (Sum)',) |
+|:---------------------|-------------------:|
+| ('boy', 'SUM(num)')  |              47123 |
+| ('boy', 'MAX(num)')  |               1280 |
+| ('boy', 'Subtotal')  |              48403 |
+| ('girl', 'SUM(num)') |             118065 |
+| ('girl', 'MAX(num)') |               2588 |
+| ('girl', 'Subtotal') |             120653 |
+| ('Total (Sum)', '')  |             169056 |
    """.strip()
    )

@@ -797,10 +541,10 @@ def test_pivot_df_complex():
    assert (
        pivoted.to_markdown()
        == """
-| state   |   ('SUM(num)', 'boy', 'Edward') |   ('SUM(num)', 'boy', 'Tony') |   ('SUM(num)', 'girl', 'Amy') |   ('SUM(num)', 'girl', 'Cindy') |   ('SUM(num)', 'girl', 'Dawn') |   ('SUM(num)', 'girl', 'Sophia') |   ('MAX(num)', 'boy', 'Edward') |   ('MAX(num)', 'boy', 'Tony') |   ('MAX(num)', 'girl', 'Amy') |   ('MAX(num)', 'girl', 'Cindy') |   ('MAX(num)', 'girl', 'Dawn') |   ('MAX(num)', 'girl', 'Sophia') |
+|         |   ('SUM(num)', 'boy', 'Edward') |   ('SUM(num)', 'boy', 'Tony') |   ('SUM(num)', 'girl', 'Amy') |   ('SUM(num)', 'girl', 'Cindy') |   ('SUM(num)', 'girl', 'Dawn') |   ('SUM(num)', 'girl', 'Sophia') |   ('MAX(num)', 'boy', 'Edward') |   ('MAX(num)', 'boy', 'Tony') |   ('MAX(num)', 'girl', 'Amy') |   ('MAX(num)', 'girl', 'Cindy') |   ('MAX(num)', 'girl', 'Dawn') |   ('MAX(num)', 'girl', 'Sophia') |
 |:--------|--------------------------------:|------------------------------:|------------------------------:|--------------------------------:|-------------------------------:|---------------------------------:|--------------------------------:|------------------------------:|------------------------------:|--------------------------------:|-------------------------------:|---------------------------------:|
-| CA      |                           31290 |                          3765 |                         45426 |                           14149 |                          11403 |                            18859 |                            1280 |                           598 |                          2227 |                             842 |                           1157 |                             2588 |
-| FL      |                            9395 |                          2673 |                         14740 |                            1218 |                           5089 |                             7181 |                             389 |                           247 |                           854 |                             217 |                            461 |                             1187 |
+| ('CA',) |                           31290 |                          3765 |                         45426 |                           14149 |                          11403 |                            18859 |                            1280 |                           598 |                          2227 |                             842 |                           1157 |                             2588 |
+| ('FL',) |                            9395 |                          2673 |                         14740 |                            1218 |                           5089 |                             7181 |                             389 |                           247 |                           854 |                             217 |                            461 |                             1187 |
    """.strip()
    )

@@ -877,20 +621,20 @@ def test_pivot_df_complex():
    assert (
        pivoted.to_markdown()
        == """
-|                                |    CA |    FL |
-|:-------------------------------|------:|------:|
-| ('SUM(num)', 'boy', 'Edward')  | 31290 |  9395 |
-| ('SUM(num)', 'boy', 'Tony')    |  3765 |  2673 |
-| ('SUM(num)', 'girl', 'Amy')    | 45426 | 14740 |
-| ('SUM(num)', 'girl', 'Cindy')  | 14149 |  1218 |
-| ('SUM(num)', 'girl', 'Dawn')   | 11403 |  5089 |
-| ('SUM(num)', 'girl', 'Sophia') | 18859 |  7181 |
-| ('MAX(num)', 'boy', 'Edward')  |  1280 |   389 |
-| ('MAX(num)', 'boy', 'Tony')    |   598 |   247 |
-| ('MAX(num)', 'girl', 'Amy')    |  2227 |   854 |
-| ('MAX(num)', 'girl', 'Cindy')  |   842 |   217 |
-| ('MAX(num)', 'girl', 'Dawn')   |  1157 |   461 |
-| ('MAX(num)', 'girl', 'Sophia') |  2588 |  1187 |
+|                                |   ('CA',) |   ('FL',) |
+|:-------------------------------|----------:|----------:|
+| ('SUM(num)', 'boy', 'Edward')  |     31290 |      9395 |
+| ('SUM(num)', 'boy', 'Tony')    |      3765 |      2673 |
+| ('SUM(num)', 'girl', 'Amy')    |     45426 |     14740 |
+| ('SUM(num)', 'girl', 'Cindy')  |     14149 |      1218 |
+| ('SUM(num)', 'girl', 'Dawn')   |     11403 |      5089 |
+| ('SUM(num)', 'girl', 'Sophia') |     18859 |      7181 |
+| ('MAX(num)', 'boy', 'Edward')  |      1280 |       389 |
+| ('MAX(num)', 'boy', 'Tony')    |       598 |       247 |
+| ('MAX(num)', 'girl', 'Amy')    |      2227 |       854 |
+| ('MAX(num)', 'girl', 'Cindy')  |       842 |       217 |
+| ('MAX(num)', 'girl', 'Dawn')   |      1157 |       461 |
+| ('MAX(num)', 'girl', 'Sophia') |      2588 |      1187 |
    """.strip()
    )

@@ -910,20 +654,20 @@ def test_pivot_df_complex():
    assert (
        pivoted.to_markdown()
        == """
-|                                |    CA |    FL |
-|:-------------------------------|------:|------:|
-| ('boy', 'Edward', 'SUM(num)')  | 31290 |  9395 |
-| ('boy', 'Edward', 'MAX(num)')  |  1280 |   389 |
-| ('boy', 'Tony', 'SUM(num)')    |  3765 |  2673 |
-| ('boy', 'Tony', 'MAX(num)')    |   598 |   247 |
-| ('girl', 'Amy', 'SUM(num)')    | 45426 | 14740 |
-| ('girl', 'Amy', 'MAX(num)')    |  2227 |   854 |
-| ('girl', 'Cindy', 'SUM(num)')  | 14149 |  1218 |
-| ('girl', 'Cindy', 'MAX(num)')  |   842 |   217 |
-| ('girl', 'Dawn', 'SUM(num)')   | 11403 |  5089 |
-| ('girl', 'Dawn', 'MAX(num)')   |  1157 |   461 |
-| ('girl', 'Sophia', 'SUM(num)') | 18859 |  7181 |
-| ('girl', 'Sophia', 'MAX(num)') |  2588 |  1187 |
+|                                |   ('CA',) |   ('FL',) |
+|:-------------------------------|----------:|----------:|
+| ('boy', 'Edward', 'SUM(num)')  |     31290 |      9395 |
+| ('boy', 'Edward', 'MAX(num)')  |      1280 |       389 |
+| ('boy', 'Tony', 'SUM(num)')    |      3765 |      2673 |
+| ('boy', 'Tony', 'MAX(num)')    |       598 |       247 |
+| ('girl', 'Amy', 'SUM(num)')    |     45426 |     14740 |
+| ('girl', 'Amy', 'MAX(num)')    |      2227 |       854 |
+| ('girl', 'Cindy', 'SUM(num)')  |     14149 |      1218 |
+| ('girl', 'Cindy', 'MAX(num)')  |       842 |       217 |
+| ('girl', 'Dawn', 'SUM(num)')   |     11403 |      5089 |
+| ('girl', 'Dawn', 'MAX(num)')   |      1157 |       461 |
+| ('girl', 'Sophia', 'SUM(num)') |     18859 |      7181 |
+| ('girl', 'Sophia', 'MAX(num)') |      2588 |      1187 |
    """.strip()
    )

@@ -940,6 +684,7 @@ def test_pivot_df_complex():
        show_columns_total=True,
        apply_metrics_on_rows=True,
    )
+    print(pivoted.to_markdown())
    assert (
        pivoted.to_markdown()
        == """