Repository: pandas-dev/pandas
Issue category: Feature Request

DOC: Convert v to conv_val in function for pytables.py
### Pandas version checks

- [X] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)


### Location of the documentation

pandas\pandas\core\computation\pytables.py

### Documentation problem

Many instances of just v in this function. Wanted to clarify throughout

### Suggested fix for documentation

Change v to conv_val


Functions to edit:
pandas/core/computation/pytables.py:BinOp.convert_value

Patch:
diff --git a/pandas/core/computation/pytables.py b/pandas/core/computation/pytables.py
index fe7e27f537b01..4a75acce46632 100644
--- a/pandas/core/computation/pytables.py
+++ b/pandas/core/computation/pytables.py
@@ -205,7 +205,7 @@ def generate(self, v) -> str:
         val = v.tostring(self.encoding)
         return f"({self.lhs} {self.op} {val})"
 
-    def convert_value(self, v) -> TermValue:
+    def convert_value(self, conv_val) -> TermValue:
         """
         convert the expression that is in the term to something that is
         accepted by pytables
@@ -219,44 +219,44 @@ def stringify(value):
         kind = ensure_decoded(self.kind)
         meta = ensure_decoded(self.meta)
         if kind == "datetime" or (kind and kind.startswith("datetime64")):
-            if isinstance(v, (int, float)):
-                v = stringify(v)
-            v = ensure_decoded(v)
-            v = Timestamp(v).as_unit("ns")
-            if v.tz is not None:
-                v = v.tz_convert("UTC")
-            return TermValue(v, v._value, kind)
+            if isinstance(conv_val, (int, float)):
+                conv_val = stringify(conv_val)
+            conv_val = ensure_decoded(conv_val)
+            conv_val = Timestamp(conv_val).as_unit("ns")
+            if conv_val.tz is not None:
+                conv_val = conv_val.tz_convert("UTC")
+            return TermValue(conv_val, conv_val._value, kind)
         elif kind in ("timedelta64", "timedelta"):
-            if isinstance(v, str):
-                v = Timedelta(v)
+            if isinstance(conv_val, str):
+                conv_val = Timedelta(conv_val)
             else:
-                v = Timedelta(v, unit="s")
-            v = v.as_unit("ns")._value
-            return TermValue(int(v), v, kind)
+                conv_val = Timedelta(conv_val, unit="s")
+            conv_val = conv_val.as_unit("ns")._value
+            return TermValue(int(conv_val), conv_val, kind)
         elif meta == "category":
             metadata = extract_array(self.metadata, extract_numpy=True)
             result: npt.NDArray[np.intp] | np.intp | int
-            if v not in metadata:
+            if conv_val not in metadata:
                 result = -1
             else:
-                result = metadata.searchsorted(v, side="left")
+                result = metadata.searchsorted(conv_val, side="left")
             return TermValue(result, result, "integer")
         elif kind == "integer":
             try:
-                v_dec = Decimal(v)
+                v_dec = Decimal(conv_val)
             except InvalidOperation:
                 # GH 54186
                 # convert v to float to raise float's ValueError
-                float(v)
+                float(conv_val)
             else:
-                v = int(v_dec.to_integral_exact(rounding="ROUND_HALF_EVEN"))
-            return TermValue(v, v, kind)
+                conv_val = int(v_dec.to_integral_exact(rounding="ROUND_HALF_EVEN"))
+            return TermValue(conv_val, conv_val, kind)
         elif kind == "float":
-            v = float(v)
-            return TermValue(v, v, kind)
+            conv_val = float(conv_val)
+            return TermValue(conv_val, conv_val, kind)
         elif kind == "bool":
-            if isinstance(v, str):
-                v = v.strip().lower() not in [
+            if isinstance(conv_val, str):
+                conv_val = conv_val.strip().lower() not in [
                     "false",
                     "f",
                     "no",
@@ -268,13 +268,13 @@ def stringify(value):
                     "",
                 ]
             else:
-                v = bool(v)
-            return TermValue(v, v, kind)
-        elif isinstance(v, str):
+                conv_val = bool(conv_val)
+            return TermValue(conv_val, conv_val, kind)
+        elif isinstance(conv_val, str):
             # string quoting
-            return TermValue(v, stringify(v), "string")
+            return TermValue(conv_val, stringify(conv_val), "string")
         else:
-            raise TypeError(f"Cannot compare {v} of type {type(v)} to {kind} column")
+            raise TypeError(f"Cannot compare {conv_val} of type {type(conv_val)} to {kind} column")
 
     def convert_values(self) -> None:
         pass