revert(plotting): 恢复原始 plotting.py 并添加适配层

1. 从初始提交 (f085d7c) 恢复完整的原始 plotting.py
   - 原始配色: geyser 色阶, simple_white 模板
   - 风玫瑰: Beaufort 12级分桶 + turquoise 扇形
   - 时序图: 散点 + 滚动均线 + 多Y轴
   - 背景校正: 双Y轴 + timestamp + 虚线基线
   - 3D散点: px.scatter_3d + 自定义 hover
   - 克里金: 散点叠加等高线 + 地面线

2. 新增适配包装函数（原始签名与当前调用方式不兼容）:
   - _scatter_3d_wrapper(df,gas) → scatter_3d(df,color=...)
   - _windrose_wrapper(df) → windrose(df)
   - _time_series_wrapper(df) → time_series(df,ys=['windspeed'])
   - _contour_krig_wrapper(krig_vars) → contour_krig(df,gas,xx,yy,field)
   - _heatmap_krig_wrapper(krig_vars) → heatmap_krig(xx,yy,field)
   - _semivariogram_plot(variogram,gas) → 保留 Plotly 实现
   - _outliers_wrapper(df,col,name) → outliers(series,high,low)

3. 更新调用方使用包装函数:
   - processing_pipelines.py: _scatter_3d_wrapper/_windrose_wrapper/_time_series_wrapper
   - interpolation.py: _contour_krig_wrapper/_heatmap_krig_wrapper/_semivariogram_plot
   - pre_processing.py: _outliers_wrapper

src/gasflux/interpolation.py

@@ -120,15 +120,15 @@ def ordinary_kriging(
 
     # Generate plots (must be after krig_variables is defined)
     try:
-        contour_plot = plotting.contour_krig(krig_variables)
+        contour_plot = plotting._contour_krig_wrapper(krig_variables)
     except Exception:
         contour_plot = None
     try:
-        grid_plot = plotting.heatmap_krig(krig_variables)
+        grid_plot = plotting._heatmap_krig_wrapper(krig_variables)
     except Exception:
         grid_plot = None
     try:
-        semivariogram_plot = plotting.semivariogram_plot(semivariogram, gas)
+        semivariogram_plot = plotting._semivariogram_plot(semivariogram, gas)
     except Exception:
         semivariogram_plot = None
 

src/gasflux/pre_processing.py

@@ -131,7 +131,7 @@ def remove_outliers(df: pd.DataFrame, column: str, name: str):
 
     try:
         from . import plotting
-        fig = plotting.outliers(df, column, name)
+        fig = plotting._outliers_wrapper(df, column, name)
     except Exception:
         fig = None
 

src/gasflux/processing_pipelines.py

@@ -126,18 +126,18 @@ class InSituSensorStrategy(SensorStrategy):
         for gas in self.data_processor.gases:
             # Create 3D scatter plot of flight path with gas concentration
             try:
-                self.data_processor.figs["scatter_3d"][gas] = plotting.scatter_3d(
+                self.data_processor.figs["scatter_3d"][gas] = plotting._scatter_3d_wrapper(
                     self.data_processor.df, gas
                 )
             except Exception:
                 self.data_processor.figs["scatter_3d"][gas] = plotting.blank_figure()
         # Create wind rose and time series plots
         try:
-            self.data_processor.figs["windrose"] = plotting.windrose(self.data_processor.df)
+            self.data_processor.figs["windrose"] = plotting._windrose_wrapper(self.data_processor.df)
         except Exception:
             self.data_processor.figs["windrose"] = plotting.blank_figure()
         try:
-            self.data_processor.figs["wind_timeseries"] = plotting.time_series(self.data_processor.df)
+            self.data_processor.figs["wind_timeseries"] = plotting._time_series_wrapper(self.data_processor.df)
         except Exception:
             self.data_processor.figs["wind_timeseries"] = plotting.blank_figure()