Remove to_integer_array keyword in internals/construction.py

Author: jiangyue12392

pandas/core/internals/construction.py

@@ -429,7 +429,7 @@ def _get_axes(N, K, index, columns):
 # Conversion of Inputs to Arrays
 
 
-def to_arrays(data, columns, coerce_float=False, dtype=None, to_integer_array=False):
+def to_arrays(data, columns, coerce_float=False, dtype=None):
     """
     Return list of arrays, columns.
     """
@@ -456,11 +456,7 @@ def to_arrays(data, columns, coerce_float=False, dtype=None, to_integer_array=Fa
         return _list_to_arrays(data, columns, coerce_float=coerce_float, dtype=dtype)
     elif isinstance(data[0], abc.Mapping):
         return _list_of_dict_to_arrays(
-            data,
-            columns,
-            coerce_float=coerce_float,
-            dtype=dtype,
-            to_integer_array=to_integer_array,
+            data, columns, coerce_float=coerce_float, dtype=dtype
         )
     elif isinstance(data[0], ABCSeries):
         return _list_of_series_to_arrays(
@@ -532,7 +528,6 @@ def _list_of_series_to_arrays(data, columns, coerce_float=False, dtype=None):
 
 
 def _list_of_dict_to_arrays(data, columns, coerce_float=False, dtype=None):
-
     """Convert list of dicts to numpy arrays
 
     if `columns` is not passed, column names are inferred from the records
@@ -566,17 +561,11 @@ def _list_of_dict_to_arrays(data, columns, coerce_float=False, dtype=None):
 
     content = list(lib.dicts_to_array(data, list(columns)).T)
     return _convert_object_array(
-        content,
-        columns,
-        dtype=dtype,
-        coerce_float=coerce_float,
-        to_integer_array=to_integer_array,
+        content, columns, dtype=dtype, coerce_float=coerce_float
     )
 
 
-def _convert_object_array(
-    content, columns, coerce_float=False, dtype=None, to_integer_array=False
-):
+def _convert_object_array(content, columns, coerce_float=False, dtype=None):
     if columns is None:
         columns = ibase.default_index(len(content))
     else:
@@ -590,9 +579,7 @@ def _convert_object_array(
     # provide soft conversion of object dtypes
     def convert(arr):
         if dtype != object and dtype != np.object:
-            arr = lib.maybe_convert_objects(
-                arr, try_float=coerce_float, to_integer_array=to_integer_array
-            )
+            arr = lib.maybe_convert_objects(arr, try_float=coerce_float)
             arr = maybe_cast_to_datetime(arr, dtype)
         return arr