fix: suppress pandas tick resolution adjustment

src/ydata_profiling/visualisation/plot.py

@@ -592,6 +592,7 @@ def plot_timeseries_gap_analysis(
                 label=label,
                 color=color,
                 alpha=0.65,
+                x_compat=True,
             )
             _format_ts_date_axis(serie, ax)
             ax.yaxis.set_major_locator(MaxNLocator(integer=True))
@@ -677,11 +678,11 @@ def _plot_timeseries(
         colors = create_comparison_color_list(config)
 
         for serie, color, label in zip(series, colors, labels):
-            ax = serie.plot(color=color, label=label, alpha=0.75)
+            ax = serie.plot(color=color, label=label, alpha=0.75, x_compat=True)
             _format_ts_date_axis(serie, ax)
 
     else:
-        ax = series.plot(color=config.html.style.primary_colors[0])
+        ax = series.plot(color=config.html.style.primary_colors[0], x_compat=True)
         _format_ts_date_axis(series, ax)
 
     return plot

tests/issues/test_issue1631.py

@@ -0,0 +1,27 @@
+"""
+Test for issue 1631:
+https://github.com/ydataai/ydata-profiling/issues/1631
+"""
+import pandas as pd
+
+from ydata_profiling import ProfileReport
+
+
+def test_issue1631(test_output_dir):
+    data = {
+        "value": [1, 2, 3, 4],
+        "datetime": [
+            "2022-10-01 00:10:00",
+            "2022-10-02 00:20:00",
+            "2022-10-03 00:30:00",
+            "2022-10-04 00:40:00",
+        ],
+    }
+    df = pd.DataFrame(data)
+    df["datetime"] = pd.to_datetime(df["datetime"], errors="raise")
+    df.set_index("datetime", inplace=True)
+    profile = ProfileReport(df, tsmode=True)
+    output_file = test_output_dir / "issue1631.html"
+    profile.to_file(output_file)
+
+    assert output_file.exists()