update the file format for further extension

app.py

@@ -20,64 +20,6 @@ import param
 
 pn.extension("tabulator")
 
-def greg_0h(jourjul):
-    import math
-    # Julian days start and end at noon.
-    # Julian day 2440000 begins at 00 hours, May 23, 1968.
-
-    # Round the input Julian day number to avoid precision errors
-    fac = 10**9
-    jourjul = np.round(fac * jourjul + 0.5) / fac
-
-    # Calculate seconds in the day
-    secs = (jourjul % 1) * 24 * 3600
-
-    # Round seconds to avoid precision errors
-    secs = np.round(fac * secs + 0.5) / fac
-
-    # Gregorian calendar conversion
-    j = math.floor(jourjul) - 1721119
-    in_ = 4 * j - 1
-    y = math.floor(in_ / 146097)
-    j = in_ - 146097 * y
-    in_ = math.floor(j / 4)
-    in_ = 4 * in_ + 3
-    j = math.floor(in_ / 1461)
-    d = math.floor(((in_ - 1461 * j) + 4) / 4)
-    in_ = 5 * d - 3
-    m = math.floor(in_ / 153)
-    d = math.floor(((in_ - 153 * m) + 5) / 5)
-    y = y * 100 + j
-    if m < 10:
-        mo = m + 3
-        yr = y
-    else:
-        mo = m - 9
-        yr = y + 1
-
-    hour = math.floor(secs / 3600)
-    mins = math.floor((secs % 3600) / 60)
-    sec = int(secs % 60)
-
-    gtime = [yr, mo, d, hour, mins, sec]
-
-    return gtime
-
-
-def fix_time(ds):
-    from datetime import datetime, timedelta
-
-    time = ds["TIME"]
-    time2 = time.dropna(dim="MAXT")
-    time2 = time2.reindex_like(time, method="nearest")
-    jourjul = [greg_0h(jourjul) for jourjul in time2.values]
-    date = [
-        datetime(jourjul[0], jourjul[1], jourjul[2], jourjul[3], jourjul[4], jourjul[5])
-        for jourjul in jourjul
-    ]
-    date = xr.DataArray(date, dims="MAXT")
-    return ds.assign(TIME=date)
-
 @pn.cache(max_items=32,policy='LRU',per_session=True)
 def load_csv():
     df = pd.read_csv('./data/zarr_table.csv',index_col=None)
@@ -139,8 +81,8 @@ def quiver_depth_filterd(ax,ds_filtered, depth1, depth_range_slider, scale_facto
     lat = ds_filtered.coords["LATITUDE"].values
 
     # Moyenne des vecteurs de courant sur la plage de profondeur sélectionnée
-    u_mean = depth_filtered.UCUR.mean(dim="MAXZ", skipna=True)
-    v_mean = depth_filtered.VCUR.mean(dim="MAXZ", skipna=True)
+    u_mean = depth_filtered.UCUR.mean(dim="PROFZ", skipna=True)
+    v_mean = depth_filtered.VCUR.mean(dim="PROFZ", skipna=True)
     
     return ax.quiver(
         lon,
@@ -317,15 +259,15 @@ class SADCP_Viewer(param.Parameterized):
             figsize=(8, 7), subplot_kw={"projection": ccrs.Mercator()}
         )
         coords = ["LATITUDE", "LONGITUDE"]
-        corsen = max(1, self.ds_filtered.MAXT.size // self.num_vectors_slider.value)
+        corsen = max(1, self.ds_filtered.TIME.size // self.num_vectors_slider.value)
         self.ds_filtered = (
             self.ds_filtered.reset_coords(coords)
-            .coarsen({"MAXT": corsen}, boundary="trim")
+            .coarsen({"TIME": corsen}, boundary="trim")
             .mean()
             .set_coords(coords)
         )
 
-        # self.ds_filtered =self.ds_filtered.coarsen(MAXT = corsen,  side = "center", boundary = "trim").mean()[["LONGITUDE", "LONGITUDE", "TIME"]].isel(MAXZ=0)
+        # self.ds_filtered =self.ds_filtered.coarsen(TIME = corsen,  side = "center", boundary = "trim").mean()[["LONGITUDE", "LONGITUDE", "TIME"]].isel(PROFZ=0)
 
         quiver_depth_filterd(ax,self.ds_filtered, self.depth1, self.depth_range_slider,self.scale_factor_slider,color="blue")
 
@@ -370,10 +312,10 @@ class SADCP_Viewer(param.Parameterized):
     def hvplot_plots(self):
         import hvplot.xarray
         return [
-            self.ds_filtered["BATHY"].max(dim="MAXZ").hvplot(x="TIME", width=400, height=200),
-            self.ds_filtered["USHIP"].max(dim="MAXZ").hvplot(x="TIME", width=400, height=200),
-            self.ds_filtered["VSHIP"].max(dim="MAXZ").hvplot(x="TIME", width=400, height=200),
-            self.ds_filtered["BOTTOM_DEPTH"].max(dim="MAXZ").hvplot(x="TIME", width=400, height=200),
+            self.ds_filtered["BATHY"].max(dim="PROFZ").hvplot(x="TIME", width=400, height=200),
+            self.ds_filtered["USHIP"].max(dim="PROFZ").hvplot(x="TIME", width=400, height=200),
+            self.ds_filtered["VSHIP"].max(dim="PROFZ").hvplot(x="TIME", width=400, height=200),
+            self.ds_filtered["BOTTOM_DEPTH"].max(dim="PROFZ").hvplot(x="TIME", width=400, height=200),
           
         ]