feat: add a scaled tab to ts index overview (#1401)

ydataai · Jul 31, 2023 · 14ad4ac · 14ad4ac
1 parent 1325634
commit 14ad4ac
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Showing 2 changed files with 21 additions and 4 deletions.
diff --git a/src/ydata_profiling/report/structure/overview.py b/src/ydata_profiling/report/structure/overview.py
@@ -316,12 +316,25 @@ def format_tsindex_limit(limit: Any) -> str:
         plot_overview_timeseries(config, summary.variables),
         image_format=config.plot.image_format,
         alt="ts_plot",
-        name="ts_plot",
+        name="preview",
         anchor_id="ts_plot_overview",
     )
+    timeseries_scaled = ImageWidget(
+        plot_overview_timeseries(config, summary.variables, scale=True),
+        image_format=config.plot.image_format,
+        alt="ts_plot_scaled",
+        name="scaled",
+        anchor_id="ts_plot_scaled_overview",
+    )
+    ts_tab = Container(
+        [timeseries, timeseries_scaled],
+        anchor_id="ts_plot_overview",
+        name="",
+        sequence_type="tabs",
+    )
 
     return Container(
-        [ts_info, timeseries],
+        [ts_info, ts_tab],
         anchor_id="timeseries_overview",
         name="Time Series",
         sequence_type="grid",

diff --git a/src/ydata_profiling/visualisation/plot.py b/src/ydata_profiling/visualisation/plot.py
@@ -562,11 +562,13 @@ def plot_overview_timeseries(
     config: Settings,
     variables: Any,
     figsize: tuple = (6, 4),
+    scale: bool = False,
 ) -> matplotlib.figure.Figure:
     """Plot an line plot from the data and return the AxesSubplot object.
     Args:
-        series: The data to plot
-        figsize: The size of the figure (width, height) in inches, default (6,4)
+        variables: The data to plot.
+        figsize: The size of the figure (width, height) in inches, default (6,4).
+        scale: Scale series values between [0,1]. Defaults to False.
     Returns:
         The TimeSeries lineplot.
     """
@@ -580,6 +582,8 @@ def plot_overview_timeseries(
         for col, data in variables.items():
             if all(iter([t == "TimeSeries" for t in data["type"]])):
                 for i, series in enumerate(data["series"]):
+                    if scale:
+                        series = (series - series.min()) / (series.max() - series.min())
                     series.plot(
                         ax=ax,
                         label=col,