Update README.md

README.md

@@ -1917,34 +1917,28 @@ Mesh objects included in samples follow the [CGNS](https://cgns.github.io/) stan
 
 Example of commands:
 ```python
-import pickle
-from datasets import load_dataset
-from plaid.containers.sample import Sample
-
-# Load the dataset
-dataset = load_dataset("chanel/dataset", split="all_samples")
-
-# Get the first sample of the first split
+# Get a sample
 split_names = list(dataset.description["split"].keys())
-ids_split_0 = dataset.description["split"][split_names[0]]
+print(split_names)
+ids_split_0 = dataset.description["split"]['train']
 sample_0_split_0 = dataset[ids_split_0[0]]["sample"]
 plaid_sample = Sample.model_validate(pickle.loads(sample_0_split_0))
 print("type(plaid_sample) =", type(plaid_sample))
 
 print("plaid_sample =", plaid_sample)
 
-# Get a field from the sample
-field_names = plaid_sample.get_field_names()
-field = plaid_sample.get_field(field_names[0])
-print("field_names[0] =", field_names[0])
-
-print("field.shape =", field.shape)
+# Access data from this sample
+for fn in ["sdf", "ro", "rou", "rov", "roe", "nut", "mach"]:
+    print(f"{fn} =", plaid_sample.get_field(fn, base_name="Base_2_2"))
+print("M_iso =", plaid_sample.get_field("M_iso", base_name="Base_1_2"))
+for sn in plaid_sample.get_scalar_names():
+    print(f"{sn} =", plaid_sample.get_scalar(sn))
 
-# Get the mesh and convert it to Muscat
-from Muscat.Bridges import CGNSBridge
-CGNS_tree = plaid_sample.get_mesh()
-mesh = CGNSBridge.CGNSToMesh(CGNS_tree)
-print(mesh)
+print("nodes 2D (flow) =", plaid_sample.get_nodes(base_name="Base_2_2"))
+print("nodes 1D (blade surface) =", plaid_sample.get_nodes(base_name="Base_1_2"))
+print("elements 2D (flow) =", plaid_sample.get_elements(base_name="Base_2_2"))
+print("elements 1D (blade surface) =", plaid_sample.get_elements(base_name="Base_1_2"))
+print("nodal_tags 2D (flow) =", plaid_sample.get_nodal_tags(base_name="Base_2_2"))
 ```
 
 ## Dataset Details