chore(deps): update dependency numba to >=0.59.0,<0.60.0 - abandoned

.github/workflows/docs.yaml

@@ -70,7 +70,7 @@ jobs:
 
     - name: Cache pip dependencies
       id: cache
-      uses: actions/cache@v3
+      uses: actions/cache@v4
       with:
         path: ~/.cache/pip
         key: ${{ runner.os }}-pip-${{ hashFiles('pyproject.toml') }}

.github/workflows/pull-request.yml

@@ -41,7 +41,7 @@ jobs:
       with:
         python-version: "3.10"
 
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       name: Cache pip dependencies
       with:
         path: ~/.cache/pip
@@ -95,7 +95,7 @@ jobs:
 
     - name: Cache pip dependencies
       id: cache
-      uses: actions/cache@v3
+      uses: actions/cache@v4
       with:
         path: ~/.cache/pip
         key: ${{ runner.os }}-pip-${{ hashFiles('pyproject.toml') }}

.github/workflows/release-deprecated.yml

@@ -23,7 +23,7 @@ jobs:
       with:
         python-version: "3.8"
 
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       name: Cache pip dependencies
       with:
         path: ~/.cache/pip

.github/workflows/release.yml

@@ -24,7 +24,7 @@ jobs:
       with:
         python-version: "3.10"
 
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       name: Cache pip dependencies
       with:
         path: ~/.cache/pip

.github/workflows/tests.yml

@@ -58,21 +58,21 @@ jobs:
         python-version: ${{ matrix.python-version }}
         architecture: x64
 
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       if: startsWith(runner.os, 'Linux')
       with:
         path: ~/.cache/pip
         key: ${{ runner.os }}-${{ matrix.pandas }}-pip-${{ hashFiles('**/requirements.txt') }}
         restore-keys: |
           ${{ runner.os }}-${{ matrix.pandas }}-pip-
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       if: startsWith(runner.os, 'macOS')
       with:
         path: ~/Library/Caches/pip
         key: ${{ runner.os }}-${{ matrix.pandas }}-pip-${{ hashFiles('**/requirements.txt') }}
         restore-keys: |
           ${{ runner.os }}-${{ matrix.pandas }}-pip-
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       if: startsWith(runner.os, 'Windows')
       with:
         path: ~\AppData\Local\pip\Cache
@@ -106,21 +106,21 @@ jobs:
         python-version: ${{ matrix.python-version }}
         architecture: x64
 
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       if: startsWith(runner.os, 'Linux')
       with:
         path: ~/.cache/pip
         key: ${{ runner.os }}-${{ matrix.pandas }}-pip-${{ hashFiles('**/requirements.txt') }}
         restore-keys: |
           ${{ runner.os }}-${{ matrix.pandas }}-pip-
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       if: startsWith(runner.os, 'macOS')
       with:
         path: ~/Library/Caches/pip
         key: ${{ runner.os }}-${{ matrix.pandas }}-pip-${{ hashFiles('**/requirements.txt') }}
         restore-keys: |
           ${{ runner.os }}-${{ matrix.pandas }}-pip-
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       if: startsWith(runner.os, 'Windows')
       with:
         path: ~\AppData\Local\pip\Cache
@@ -135,7 +135,7 @@ jobs:
 
     - run: make test_cov
 
-    - uses: actions/cache@v3
+    - uses: actions/cache@v4
       if: startsWith(runner.os, 'Windows')
       with:
         path: ~\AppData\Local\pip\Cache
@@ -189,21 +189,21 @@ jobs:
         with:
           python-version: ${{ matrix.python-version }}
           architecture: x64
-      - uses: actions/cache@v3
+      - uses: actions/cache@v4
         if: startsWith(runner.os, 'Linux')
         with:
           path: ~/.cache/pip
           key: ${{ runner.os }}-${{ matrix.pandas }}-pip-${{ hashFiles('**/requirements.txt') }}
           restore-keys: |
             ${{ runner.os }}-${{ matrix.pandas }}-pip-\
-      - uses: actions/cache@v3
+      - uses: actions/cache@v4
         if: startsWith(runner.os, 'macOS')
         with:
           path: ~/Library/Caches/pip
           key: ${{ runner.os }}-${{ matrix.pandas }}-pip-${{ hashFiles('**/requirements.txt') }}
           restore-keys: |
             ${{ runner.os }}-${{ matrix.pandas }}-pip-
-      - uses: actions/cache@v3
+      - uses: actions/cache@v4
         if: startsWith(runner.os, 'Windows')
         with:
           path: ~\AppData\Local\pip\Cache

requirements.txt

@@ -24,4 +24,4 @@ typeguard>=4.1.2, <5
 imagehash==4.3.1
 wordcloud>=1.9.1
 dacite>=1.8
-numba>=0.56.0,<0.59.0
+numba>=0.59.0,<0.60.0

src/ydata_profiling/expectations_report.py

@@ -79,9 +79,7 @@ def to_expectation_suite(
         if not data_context:
             data_context = ge.data_context.DataContext()
 
-        suite = data_context.create_expectation_suite(
-            suite_name, overwrite_existing=True
-        )
+        suite = data_context.add_expectation_suite(suite_name, overwrite_existing=True)
 
         # Instantiate an in-memory pandas dataset
         batch = ge.dataset.PandasDataset(self.df, expectation_suite=suite)

src/ydata_profiling/model/pandas/describe_timeseries_pandas.py

@@ -177,14 +177,16 @@ def compute_gap_stats(series: pd.Series) -> pd.Series:
 
     is_datetime = isinstance(series.index, pd.DatetimeIndex)
     gap_stats, gaps = identify_gaps(gap, is_datetime)
+    has_gaps = len(gap_stats) > 0
 
     stats = {
-        "min": gap_stats.min(),
-        "max": gap_stats.max(),
-        "mean": gap_stats.mean(),
+        "min": gap_stats.min() if has_gaps else 0,
+        "max": gap_stats.max() if has_gaps else 0,
+        "mean": gap_stats.mean() if has_gaps else 0,
         "std": gap_stats.std() if len(gap_stats) > 1 else 0,
         "series": series,
         "gaps": gaps,
+        "n_gaps": len(gaps),
     }
     return stats
 

src/ydata_profiling/profile_report.py

@@ -450,7 +450,9 @@ def encode_it(o: Any) -> Any:
                     return [encode_it(v) for v in o]
                 elif isinstance(o, set):
                     return {encode_it(v) for v in o}
-                elif isinstance(o, (pd.DataFrame, pd.Series)):
+                elif isinstance(o, pd.Series):
+                    return encode_it(o.to_list())
+                elif isinstance(o, pd.DataFrame):
                     return encode_it(o.to_dict(orient="records"))
                 elif isinstance(o, np.ndarray):
                     return encode_it(o.tolist())

src/ydata_profiling/report/structure/overview.py

@@ -273,7 +273,8 @@ def get_dataset_alerts(config: Settings, alerts: list) -> Alerts:
 
 
 def get_timeseries_items(config: Settings, summary: BaseDescription) -> Container:
-    def format_tsindex_limit(limit: Any) -> str:
+    @list_args
+    def fmt_tsindex_limit(limit: Any) -> str:
         if isinstance(limit, datetime):
             return limit.strftime("%Y-%m-%d %H:%M:%S")
         else:
@@ -291,11 +292,11 @@ def format_tsindex_limit(limit: Any) -> str:
         },
         {
             "name": "Starting point",
-            "value": format_tsindex_limit(summary.time_index_analysis.start),
+            "value": fmt_tsindex_limit(summary.time_index_analysis.start),
         },
         {
             "name": "Ending point",
-            "value": format_tsindex_limit(summary.time_index_analysis.end),
+            "value": fmt_tsindex_limit(summary.time_index_analysis.end),
         },
         {
             "name": "Period",

src/ydata_profiling/report/structure/variables/render_timeseries.py

@@ -28,7 +28,7 @@ def _render_gap_tab(config: Settings, summary: dict) -> Container:
         {
             "name": "number of gaps",
             "value": fmt_numeric(
-                len(summary["gap_stats"]["gaps"]), precision=config.report.precision
+                summary["gap_stats"]["n_gaps"], precision=config.report.precision
             ),
         },
         {

tests/issues/test_issue1529.py

@@ -0,0 +1,34 @@
+"""
+Test for issue 1529:
+https://github.com/ydataai/ydata-profiling/issues/1529
+"""
+import json
+
+import pandas as pd
+
+from ydata_profiling import ProfileReport
+
+
+def test_issue1529():
+    previous_dataset = pd.DataFrame(
+        data=[(1000, 42), (900, 30), (1500, 40), (1800, 38)],
+        columns=["rent_per_month", "total_area"],
+    )
+    current_dataset = pd.DataFrame(
+        data=[(5000, 350), (9000, 600), (5000, 400), (3500, 500), (6000, 600)],
+        columns=["rent_per_month", "total_area"],
+    )
+    previous_dataset_report = ProfileReport(
+        previous_dataset, title="Previous dataset report"
+    )
+    current_dataset_report = ProfileReport(
+        current_dataset, title="Current dataset report"
+    )
+    comparison_report = previous_dataset_report.compare(current_dataset_report)
+    json_str = comparison_report.to_json()
+    compare_dict = json.loads(json_str)
+    assert compare_dict is not None and len(compare_dict) > 0
+    assert (
+        compare_dict["analysis"]["title"]
+        == "<em>Comparing</em> Previous dataset report <em>and</em> Current dataset report"
+    )