Csv issue

pandas/core/internals/managers.py

@@ -2171,7 +2171,10 @@ def setitem_inplace(self, indexer, value) -> None:
             #  dt64/td64, which do their own validation.
             value = np_can_hold_element(arr.dtype, value)
 
-        if isinstance(value, np.ndarray) and value.ndim == 1 and len(value) == 1:
+        # check if the dtype of the block is object
+        implicit_convert = arr.dtype != 'object'
+        if (isinstance(value, np.ndarray) and value.ndim == 1 and len(value) == 1 
+            and implicit_convert):
             # NumPy 1.25 deprecation: https://github.com/numpy/numpy/pull/10615
             value = value[0, ...]
 

pandas/io/parsers/readers.py

@@ -716,6 +716,19 @@ def read_csv(
 ) -> DataFrame | TextFileReader: ...
 
 
+# a helper function for the read_csv(...) below).
+# ensures that all keys in dtype are of type str.
+# this allows for compatibility with the csv library
+def parse_dtype(dtype) -> DtypeArg:
+    temp = {}
+    for key in dtype:
+        if isinstance(key, str):
+            temp[f"{key}"] = dtype[key]
+        else:
+            temp[key] = dtype[key]
+    return temp
+
+
 @Appender(
     _doc_read_csv_and_table.format(
         func_name="read_csv",
@@ -790,6 +803,9 @@ def read_csv(
     storage_options: StorageOptions | None = None,
     dtype_backend: DtypeBackend | lib.NoDefault = lib.no_default,
 ) -> DataFrame | TextFileReader:
+    # ensures that all keys in dtype are a string for compatibility with csv
+    dtype = parse_dtype(dtype)
+
     if keep_date_col is not lib.no_default:
         # GH#55569
         warnings.warn(
@@ -2026,4 +2042,4 @@ def _validate_skipfooter(kwds: dict[str, Any]) -> None:
         if kwds.get("iterator") or kwds.get("chunksize"):
             raise ValueError("'skipfooter' not supported for iteration")
         if kwds.get("nrows"):
-            raise ValueError("'skipfooter' not supported with 'nrows'")
+            raise ValueError("'skipfooter' not supported with 'nrows'")