feat: Adds Histogram chart migration logic

superset-frontend/packages/superset-ui-chart-controls/src/operators/histogramOperator.ts

@@ -23,7 +23,7 @@ import { PostProcessingFactory } from './types';
 export const histogramOperator: PostProcessingFactory<
   PostProcessingHistogram
 > = (formData, queryObject) => {
-  const { bins, column, cumulative, groupby, normalize } = formData;
+  const { bins, column, cumulative, groupby = [], normalize } = formData;
   const parsedBins = Number.isNaN(Number(bins)) ? 5 : Number(bins);
   const parsedColumn = getColumnLabel(column);
   const parsedGroupBy = groupby!.map(getColumnLabel);

superset-frontend/packages/superset-ui-chart-controls/test/operators/histogramOperator.test.ts

@@ -37,6 +37,13 @@ test('matches formData', () => {
   });
 });
 
+test('sets default groupby', () => {
+  expect(
+    histogramOperator({ ...formData, groupby: undefined }, {})?.options
+      ?.groupby,
+  ).toEqual([]);
+});
+
 test('defaults to 5 bins', () => {
   expect(
     histogramOperator(omit(formData, ['bins']) as SqlaFormData, {}),

superset-frontend/plugins/plugin-chart-echarts/src/Histogram/buildQuery.ts

@@ -25,8 +25,10 @@ export default function buildQuery(formData: HistogramFormData) {
   return buildQueryContext(formData, baseQueryObject => [
     {
       ...baseQueryObject,
+      extras: { where: `${column} IS NOT NULL` },
       columns: [...groupby, column],
       post_processing: [histogramOperator(formData, baseQueryObject)],
+      metrics: undefined,
     },
   ]);
 }

superset-frontend/plugins/plugin-chart-echarts/src/Histogram/transformProps.ts

@@ -136,9 +136,10 @@ export default function transformProps(
   const echartOptions: EChartsOption = {
     grid: {
       ...defaultGrid,
-      bottom: 30,
-      left: 30,
-      right: 30,
+      left: '5%',
+      right: '5%',
+      top: '10%',
+      bottom: '10%',
     },
     xAxis: {
       data: xAxisData,

superset-frontend/src/explore/components/controls/DndColumnSelectControl/ColumnSelectPopoverTrigger.tsx

@@ -123,6 +123,7 @@ const ColumnSelectPopoverTrigger = ({
       isTemporal,
       onColumnEdit,
       popoverLabel,
+      disabledTabs,
     ],
   );
 

superset-frontend/src/explore/components/controls/DndColumnSelectControl/DndColumnSelect.tsx

@@ -207,6 +207,7 @@ function DndColumnSelect(props: DndColumnSelectProps) {
         closePopover={closePopover}
         visible={newColumnPopoverVisible}
         isTemporal={isTemporal}
+        disabledTabs={disabledTabs}
       >
         <div />
       </ColumnSelectPopoverTrigger>

superset/cli/viz_migrations.py

@@ -30,6 +30,7 @@
     DIST_BAR = "dist_bar"
     DUAL_LINE = "dual_line"
     HEATMAP = "heatmap"
+    HISTOGRAM = "histogram"
     LINE = "line"
     PIVOT_TABLE = "pivot_table"
     SUNBURST = "sunburst"
@@ -85,6 +86,7 @@
         MigrateDistBarChart,
         MigrateDualLine,
         MigrateHeatmapChart,
+        MigrateHistogramChart,
         MigrateLineChart,
         MigratePivotTable,
         MigrateSunburst,
@@ -98,6 +100,7 @@
         VizType.DIST_BAR: MigrateDistBarChart,
         VizType.DUAL_LINE: MigrateDualLine,
         VizType.HEATMAP: MigrateHeatmapChart,
+        VizType.HISTOGRAM: MigrateHistogramChart,
         VizType.LINE: MigrateLineChart,
         VizType.PIVOT_TABLE: MigratePivotTable,
         VizType.SUNBURST: MigrateSunburst,

superset/migrations/shared/migrate_viz/processors.py

@@ -280,3 +280,26 @@ class MigrateHeatmapChart(MigrateViz):
 
     def _pre_action(self) -> None:
         self.data["legend_type"] = "continuous"
+
+
+class MigrateHistogramChart(MigrateViz):
+    source_viz_type = "histogram"
+    target_viz_type = "histogram_v2"
+    rename_keys = {
+        "x_axis_label": "x_axis_title",
+        "y_axis_label": "y_axis_title",
+        "normalized": "normalize",
+    }
+    remove_keys = {"all_columns_x", "link_length", "queryFields"}
+
+    def _pre_action(self) -> None:
+        all_columns_x = self.data.get("all_columns_x")
+        if all_columns_x and len(all_columns_x) > 0:
+            self.data["column"] = all_columns_x[0]
+
+        link_length = self.data.get("link_length")
+        self.data["bins"] = int(link_length) if link_length else 5
+
+        groupby = self.data.get("groupby")
+        if not groupby:
+            self.data["groupby"] = []

superset/utils/pandas_postprocessing/histogram.py

@@ -53,7 +53,7 @@ def histogram(
         raise ValueError(f"The column '{column}' must be numeric.")
 
     # calculate the histogram bin edges
-    bin_edges = np.histogram_bin_edges(df[column], bins=bins)
+    bin_edges = np.histogram_bin_edges(df[column].dropna(), bins=bins)
 
     # convert the bin edges to strings
     bin_edges_str = [
@@ -62,7 +62,7 @@ def histogram(
     ]
 
     def hist_values(series: Series) -> np.ndarray:
-        result = np.histogram(series, bins=bin_edges)[0]
+        result = np.histogram(series.dropna(), bins=bin_edges)[0]
         return result if not cumulative else np.cumsum(result)
 
     if len(groupby) == 0:

tests/unit_tests/migrations/viz/histogram_v1_v2_test.py

@@ -0,0 +1,52 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+from typing import Any
+
+from superset.migrations.shared.migrate_viz import MigrateHistogramChart
+from tests.unit_tests.migrations.viz.utils import migrate_and_assert
+
+SOURCE_FORM_DATA: dict[str, Any] = {
+    "all_columns_x": ["category"],
+    "adhoc_filters": [],
+    "cumulative": True,
+    "linear_color_scheme": "blue",
+    "link_length": "5",
+    "normalized": True,
+    "row_limit": 100,
+    "viz_type": "histogram",
+    "x_axis_label": "X",
+    "y_axis_label": "Y",
+}
+
+TARGET_FORM_DATA: dict[str, Any] = {
+    "adhoc_filters": [],
+    "bins": 5,
+    "column": "category",
+    "cumulative": True,
+    "form_data_bak": SOURCE_FORM_DATA,
+    "groupby": [],
+    "linear_color_scheme": "blue",
+    "normalize": True,
+    "row_limit": 100,
+    "viz_type": "histogram_v2",
+    "x_axis_title": "X",
+    "y_axis_title": "Y",
+}
+
+
+def test_migration() -> None:
+    migrate_and_assert(MigrateHistogramChart, SOURCE_FORM_DATA, TARGET_FORM_DATA)

tests/unit_tests/pandas_postprocessing/test_histogram.py

@@ -120,3 +120,25 @@ def test_histogram_with_non_numeric_column():
         histogram(data, "b", ["group"], bins)
     except ValueError as e:
         assert str(e) == "The column 'b' must be numeric."
+
+
+# test histogram ignore null values
+def test_histogram_ignore_null_values():
+    data_with_null = DataFrame(
+        {
+            "group": ["A", "A", "B", "B", "A", "A", "B", "B", "A", "A"],
+            "a": [1, 2, 3, 4, 5, 6, 7, 8, 9, None],
+            "b": [1, 2, 3, 4, 5, 6, 7, 8, 9, None],
+        }
+    )
+    result = histogram(data_with_null, "a", ["group"], bins)
+    assert result.shape == (2, bins + 1)
+    assert result.columns.tolist() == [
+        "group",
+        "1 - 2",
+        "2 - 4",
+        "4 - 5",
+        "5 - 7",
+        "7 - 9",
+    ]
+    assert result.values.tolist() == [["A", 2, 0, 1, 1, 1], ["B", 0, 2, 0, 1, 1]]