Added Numpy Show, Numpy Squeeze, Pandas Feature Split To Numpy, Pt Show Size nodes.

modules/numpy_wrapper/numpy_squeeze.py

@@ -0,0 +1,45 @@
+from typing import Any, Dict
+import numpy as np
+
+
+class NumpySqueeze:
+    """
+    Removes a dimension at the specified position in the input array if it is of size 1.
+    
+    Specifying a tuple of dimensions is not supported.
+    
+    category: Numpy
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "array": ("NDARRAY", {}),
+                "dim": ("INT", {"default": -1, "min": -1, "max": 10})
+            }
+        }
+
+    RETURN_TYPES: tuple = ("NDARRAY",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "Data Analysis"
+
+    def f(self, array: np.ndarray, dim: int) -> tuple:
+        """
+        Removes a dimension at the specified position in the input array if it is of size 1.
+
+        Args:
+            array (np.ndarray): Input array.
+            dim (int): Dimension to remove if it is of size 1.
+
+        Returns:
+            tuple: A tuple containing the transformed NumPy array.
+        """
+        ar_out = np.squeeze(array, dim)
+        return (ar_out,)