fix linting

Author: topper-123

pandas/_libs/lib.pyx

@@ -1701,9 +1701,9 @@ cpdef bint is_string_array(ndarray values, bint skipna=False):
 cpdef ndarray ensure_string_array(
         values, object na_value=np.nan, bint convert_na_value=True, bint copy=True):
     """Returns a new numpy array with object dtype and only strings and na values.
-    
+
     Parameters
-    ---------
+    ----------
     values : array-like
         The values to be converted to str, if needed
     na_value : Any
@@ -1715,7 +1715,7 @@ cpdef ndarray ensure_string_array(
 
     Returns
     -------
-    ndarray    
+    ndarray
     """
     cdef:
         Py_ssize_t i = 0, n = len(values)

pandas/core/arrays/string_.py

@@ -203,7 +203,8 @@ def _from_sequence(cls, scalars, dtype=None, copy=True):
 
         # convert non-na-likes to str, and nan-likes to StringDtype.na_value
         result = lib.ensure_string_array(
-            result, na_value=StringDtype.na_value, copy=copy)
+            result, na_value=StringDtype.na_value, copy=copy
+        )
 
         return cls(result)