Simplify

pandas/io/formats/format.py

@@ -1891,18 +1891,14 @@ def _trim_zeros_float(
     Trims zeros, leaving just one before the decimal points if need be.
     """
     trimmed = str_floats
-    number_regex = re.compile(r"\s*[\+-]?[0-9]+[\.,]?([0-9]*)?")
+    number_regex = re.compile(fr"^\s*[\+-]?[0-9]+\{decimal}([0-9]*)?$")
 
     def is_number_with_decimal(x):
-        return re.match(number_regex, x) is not None and decimal in x
+        return re.match(number_regex, x) is not None
 
     def should_trim(values):
         numbers = [x for x in values if is_number_with_decimal(x)]
-        return (
-            len(numbers) > 0
-            and all(x.endswith("0") for x in numbers)
-            and not any(("e" in x) or ("E" in x) for x in numbers)
-        )
+        return len(numbers) > 0 and all(x.endswith("0") for x in numbers)
 
     while should_trim(trimmed):
         trimmed = [