Merge pull request #289 from jmcvey3/dual_profile

Add capability to read ADCP dual profile configurations

Author: jmcvey3

examples/data/dolfyn/dual_profile.ad2cp

@@ -113,69 +113,65 @@ def _handle_nan(data):
 
 
 def _create_dataset(data):
-    """Creates an xarray dataset from dictionary created from binary
+    """
+    Creates an xarray dataset from dictionary created from binary
     readers.
     Direction 'dir' coordinates are set in `set_coords`
     """
-    ds = xr.Dataset()
-    tag = ["_avg", "_b5", "_echo", "_bt", "_gps", "_altraw", "_sl"]
 
-    FoR = {}
-    try:
-        beams = data["attrs"]["n_beams"]
-    except:
+    tag = ["_avg", "_b5", "_echo", "_bt", "_gps", "_altraw", "_altraw_avg", "_sl"]
+
+    ds_dict = {}
+    for key in data["coords"]:
+        ds_dict[key] = {"dims": (key), "data": data["coords"][key]}
+
+    # Set various coordinate frames
+    if "n_beams_avg" in data["attrs"]:
         beams = data["attrs"]["n_beams_avg"]
+    else:
+        beams = data["attrs"]["n_beams"]
     n_beams = max(min(beams, 4), 3)
     beams = np.arange(1, n_beams + 1, dtype=np.int32)
-    FoR["beam"] = xr.DataArray(
-        beams,
-        dims=["beam"],
-        name="beam",
-        attrs={"units": "1", "long_name": "Beam Reference Frame"},
-    )
-    FoR["dir"] = xr.DataArray(
-        beams,
-        dims=["dir"],
-        name="dir",
-        attrs={"units": "1", "long_name": "Reference Frame"},
-    )
 
+    ds_dict["beam"] = {"dims": ("beam"), "data": beams}
+    ds_dict["dir"] = {"dims": ("dir"), "data": beams}
+    data["units"].update({"beam": "1", "dir": "1"})
+    data["long_name"].update({"beam": "Beam Reference Frame", "dir": "Reference Frame"})
+
+    # Iterate through data variables and add them to new dictionary
     for key in data["data_vars"]:
         # orientation matrices
         if "mat" in key:
             if "inst" in key:  # beam2inst & inst2head orientation matrices
-                ds[key] = xr.DataArray(
-                    data["data_vars"][key],
-                    coords={"x1": beams, "x2": beams},
-                    dims=["x1", "x2"],
-                    attrs={"units": "1", "long_name": "Rotation Matrix"},
-                )
+                if "x1" not in ds_dict:
+                    ds_dict["x1"] = {"dims": ("x1"), "data": beams}
+                    ds_dict["x2"] = {"dims": ("x2"), "data": beams}
+
+                ds_dict[key] = {"dims": ("x1", "x2"), "data": data["data_vars"][key]}
+                data["units"].update({key: "1"})
+                data["long_name"].update({key: "Rotation Matrix"})
+
             elif "orientmat" in key:  # earth2inst orientation matrix
                 if any(val in key for val in tag):
                     tg = "_" + key.rsplit("_")[-1]
                 else:
                     tg = ""
-                earth = xr.DataArray(
-                    ["E", "N", "U"],
-                    dims=["earth"],
-                    name="earth",
-                    attrs={"units": "1", "long_name": "Earth Reference Frame"},
-                )
-                inst = xr.DataArray(
-                    ["X", "Y", "Z"],
-                    dims=["inst"],
-                    name="inst",
-                    attrs={"units": "1", "long_name": "Instrument Reference Frame"},
+
+                ds_dict["earth"] = {"dims": ("earth"), "data": ["E", "N", "U"]}
+                ds_dict["inst"] = {"dims": ("inst"), "data": ["X", "Y", "Z"]}
+                ds_dict[key] = {
+                    "dims": ("earth", "inst", "time" + tg),
+                    "data": data["data_vars"][key],
+                }
+                data["units"].update(
+                    {"earth": "1", "inst": "1", key: data["units"]["orientmat"]}
                 )
-                time = data["coords"]["time" + tg]
-                ds[key] = xr.DataArray(
-                    data["data_vars"][key],
-                    coords={"earth": earth, "inst": inst, "time" + tg: time},
-                    dims=["earth", "inst", "time" + tg],
-                    attrs={
-                        "units": data["units"]["orientmat"],
-                        "long_name": data["long_name"]["orientmat"],
-                    },
+                data["long_name"].update(
+                    {
+                        "earth": "Earth Reference Frame",
+                        "inst": "Instrument Reference Frame",
+                        key: data["long_name"]["orientmat"],
+                    }
                 )
 
         # quaternion units never change
@@ -184,67 +180,43 @@ def _create_dataset(data):
                 tg = "_" + key.rsplit("_")[-1]
             else:
                 tg = ""
-            q = xr.DataArray(
-                ["w", "x", "y", "z"],
-                dims=["q"],
-                name="q",
-                attrs={"units": "1", "long_name": "Quaternion Vector Components"},
-            )
-            time = data["coords"]["time" + tg]
-            ds[key] = xr.DataArray(
-                data["data_vars"][key],
-                coords={"q": q, "time" + tg: time},
-                dims=["q", "time" + tg],
-                attrs={
-                    "units": data["units"]["quaternions"],
-                    "long_name": data["long_name"]["quaternions"],
-                },
-            )
-        else:
-            # Assign each variable to a dataArray
-            ds[key] = xr.DataArray(data["data_vars"][key])
-            # Assign metadata to each dataArray
-            for md in ["units", "long_name", "standard_name"]:
-                if key in data[md]:
-                    ds[key].attrs[md] = data[md][key]
-                try:  # make sure ones with tags get units
-                    tg = "_" + key.rsplit("_")[-1]
-                    if any(val in key for val in tag):
-                        ds[key].attrs[md] = data[md][key[: -len(tg)]]
-                except:
-                    pass
 
-            # Fill in dimensions and coordinates for each dataArray
+            if "q" not in ds_dict:
+                ds_dict["q"] = {"dims": ("q"), "data": ["w", "x", "y", "z"]}
+                data["units"].update({"q": "1"})
+                data["long_name"].update({"q": "Quaternion Vector Components"})
+
+            ds_dict[key] = {"dims": ("q", "time" + tg), "data": data["data_vars"][key]}
+            data["units"].update({key: data["units"]["quaternions"]})
+            data["long_name"].update({key: data["long_name"]["quaternions"]})
+
+        else:
             shp = data["data_vars"][key].shape
-            l = len(shp)
-            if l == 1:  # 1D variables
-                if any(val in key for val in tag):
+            if len(shp) == 1:  # 1D variables
+                if "_altraw_avg" in key:
+                    tg = "_altraw_avg"
+                elif any(val in key for val in tag):
                     tg = "_" + key.rsplit("_")[-1]
                 else:
                     tg = ""
-                ds[key] = ds[key].rename({"dim_0": "time" + tg})
-                ds[key] = ds[key].assign_coords(
-                    {"time" + tg: data["coords"]["time" + tg]}
-                )
+                ds_dict[key] = {"dims": ("time" + tg), "data": data["data_vars"][key]}
 
-            elif l == 2:  # 2D variables
+            elif len(shp) == 2:  # 2D variables
                 if key == "echo":
-                    ds[key] = ds[key].rename(
-                        {"dim_0": "range_echo", "dim_1": "time_echo"}
-                    )
-                    ds[key] = ds[key].assign_coords(
-                        {
-                            "range_echo": data["coords"]["range_echo"],
-                            "time_echo": data["coords"]["time_echo"],
-                        }
-                    )
-                elif key == "samp_altraw":  # raw altimeter samples
-                    ds[key] = ds[key].rename(
-                        {"dim_0": "n_altraw", "dim_1": "time_altraw"}
-                    )
-                    ds[key] = ds[key].assign_coords(
-                        {"time_altraw": data["coords"]["time_altraw"]}
-                    )
+                    ds_dict[key] = {
+                        "dims": ("range_echo", "time_echo"),
+                        "data": data["data_vars"][key],
+                    }
+                elif key == "samp_altraw":
+                    ds_dict[key] = {
+                        "dims": ("n_altraw", "time_altraw"),
+                        "data": data["data_vars"][key],
+                    }
+                elif key == "samp_altraw_avg":
+                    ds_dict[key] = {
+                        "dims": ("n_altraw_avg", "time_altraw_avg"),
+                        "data": data["data_vars"][key],
+                    }
 
                 # ADV/ADCP instrument vector data, bottom tracking
                 elif shp[0] == n_beams and not any(val in key for val in tag[:3]):
@@ -259,31 +231,36 @@ def _create_dataset(data):
                         dim0 = "beam"
                     else:
                         dim0 = "dir"
-                    ds[key] = ds[key].rename({"dim_0": dim0, "dim_1": "time" + tg})
-                    ds[key] = ds[key].assign_coords(
-                        {dim0: FoR[dim0], "time" + tg: data["coords"]["time" + tg]}
-                    )
+                    ds_dict[key] = {
+                        "dims": (dim0, "time" + tg),
+                        "data": data["data_vars"][key],
+                    }
+
                 # ADCP IMU data
                 elif shp[0] == 3:
                     if not any(val in key for val in tag):
                         tg = ""
                     else:
                         tg = [val for val in tag if val in key]
                         tg = tg[0]
-                    dirIMU = xr.DataArray(
-                        [1, 2, 3],
-                        dims=["dirIMU"],
-                        name="dirIMU",
-                        attrs={"units": "1", "long_name": "Reference Frame"},
-                    )
-                    ds[key] = ds[key].rename({"dim_0": "dirIMU", "dim_1": "time" + tg})
-                    ds[key] = ds[key].assign_coords(
-                        {"dirIMU": dirIMU, "time" + tg: data["coords"]["time" + tg]}
-                    )
 
-                ds[key].attrs["coverage_content_type"] = "physicalMeasurement"
+                    if "dirIMU" not in ds_dict:
+                        ds_dict["dirIMU"] = {"dims": ("dirIMU"), "data": [1, 2, 3]}
+                        data["units"].update({"dirIMU": "1"})
+                        data["long_name"].update({"dirIMU": "Reference Frame"})
+
+                    ds_dict[key] = {
+                        "dims": ("dirIMU", "time" + tg),
+                        "data": data["data_vars"][key],
+                    }
 
-            elif l == 3:  # 3D variables
+                elif "b5" in tg:
+                    ds_dict[key] = {
+                        "dims": ("range_b5", "time_b5"),
+                        "data": data["data_vars"][key],
+                    }
+
+            elif len(shp) == 3:  # 3D variables
                 if "vel" in key:
                     dim0 = "dir"
                 else:  # amp, corr, prcnt_gd, status
@@ -294,43 +271,43 @@ def _create_dataset(data):
                         tg = "_avg"
                     else:
                         tg = ""
-                    ds[key] = ds[key].rename(
-                        {"dim_0": dim0, "dim_1": "range" + tg, "dim_2": "time" + tg}
-                    )
-                    ds[key] = ds[key].assign_coords(
-                        {
-                            dim0: FoR[dim0],
-                            "range" + tg: data["coords"]["range" + tg],
-                            "time" + tg: data["coords"]["time" + tg],
-                        }
-                    )
+                    ds_dict[key] = {
+                        "dims": (dim0, "range" + tg, "time" + tg),
+                        "data": data["data_vars"][key],
+                    }
+
                 elif "b5" in key:
-                    # xarray can't handle coords of length 1
-                    ds[key] = ds[key][0]
-                    ds[key] = ds[key].rename({"dim_1": "range_b5", "dim_2": "time_b5"})
-                    ds[key] = ds[key].assign_coords(
-                        {
-                            "range_b5": data["coords"]["range_b5"],
-                            "time_b5": data["coords"]["time_b5"],
-                        }
-                    )
+                    # "vel_b5" sometimes stored as (1, range_b5, time_b5)
+                    ds_dict[key] = {
+                        "dims": ("range_b5", "time_b5"),
+                        "data": data["data_vars"][key][0],
+                    }
                 elif "sl" in key:
-                    ds[key] = ds[key].rename(
-                        {"dim_0": dim0, "dim_1": "range_sl", "dim_2": "time"}
-                    )
-                    ds[key] = ds[key].assign_coords(
-                        {
-                            "range_sl": data["coords"]["range_sl"],
-                            "time": data["coords"]["time"],
-                        }
-                    )
+                    ds_dict[key] = {
+                        "dims": (dim0, "range_sl", "time"),
+                        "data": data["data_vars"][key],
+                    }
                 else:
-                    ds = ds.drop_vars(key)
                     warnings.warn(f"Variable not included in dataset: {key}")
 
+    # Create dataset
+    ds = xr.Dataset.from_dict(ds_dict)
+
+    # Assign data array attributes
+    for key in ds.variables:
+        for md in ["units", "long_name", "standard_name"]:
+            if key in data[md]:
+                ds[key].attrs[md] = data[md][key]
+            if len(ds[key].shape) > 1:
                 ds[key].attrs["coverage_content_type"] = "physicalMeasurement"
+            try:  # make sure ones with tags get units
+                tg = "_" + key.rsplit("_")[-1]
+                if any(val in key for val in tag):
+                    ds[key].attrs[md] = data[md][key[: -len(tg)]]
+            except:
+                pass
 
-    # coordinate attributes
+    # Assign coordinate attributes
     for ky in ds.dims:
         ds[ky].attrs["coverage_content_type"] = "coordinate"
     r_list = [r for r in ds.coords if "range" in r]
@@ -344,7 +321,7 @@ def _create_dataset(data):
         ds[ky].attrs["long_name"] = "Time"
         ds[ky].attrs["standard_name"] = "time"
 
-    # dataset metadata
+    # Set dataset metadata
     ds.attrs = data["attrs"]
 
     return ds