[bugfix]: Fixes datetime parsing for all nulls data

CHANGELOG.md

@@ -5,6 +5,12 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [6.0.2] - 2026-02-19
+
+### Fixed
+- Fixed `dataframe_from_result_table` crashing with pandas 3.0 when a datetime column contains all null values.
+- Removed legacy pandas 1.x code path in `parse_datetime` (minimum supported pandas is now 2.3.1).
+
 ## [6.0.1] - 2025-12-25
 
 ### Fixed

azure-kusto-data/azure/kusto/data/helpers.py

@@ -119,19 +119,10 @@
     return frame[col]
 
 
-def parse_datetime(frame, col, force_version: Optional[str] = None) -> "pd.Series":
-    # Pandas before version 2 doesn't support the "format" arg
+def parse_datetime(frame, col) -> "pd.Series":
     import pandas as pd
 
-    args = {}
-    if (force_version or pd.__version__).startswith("2."):
-        args = {"format": "ISO8601", "utc": True}
-    else:
-        # if frame contains ".", replace "Z" with ".000Z"
-        # Using bitwise NOT (~) on the boolean Series is the idiomatic pandas way to negate the mask
-        contains_dot = frame[col].str.contains("\\.")
-        frame.loc[~contains_dot, col] = frame.loc[~contains_dot, col].str.replace("Z", ".000Z")
-    frame[col] = pd.to_datetime(frame[col], errors="coerce", **args)
+    frame[col] = pd.to_datetime(frame[col], format="ISO8601", utc=True, errors="coerce")
     return frame[col]
 
 

azure-kusto-data/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "azure-kusto-data"
-version = "6.0.1"
+version = "6.0.2"
 description = "Kusto Data Client"
 authors = [
     { name = "Microsoft Corporation", email = "kustalk@microsoft.com" },

azure-kusto-data/tests/test_helpers.py

@@ -7,7 +7,7 @@
 import pytest
 
 from azure.kusto.data._models import KustoResultTable
 from azure.kusto.data.helpers import dataframe_from_result_table, parse_datetime
 from azure.kusto.data.response import KustoResponseDataSetV2
 import pandas
 import numpy
@@ -131,28 +131,38 @@
 
 
 def test_datetime_parsing():
-    """Test parse_datetime function with different pandas versions and datetime formats"""
-
-    # Test with pandas v2 behavior (force version 2)
-    df_v2 = pandas.DataFrame(
+    """Test parse_datetime correctly parses mixed datetime formats"""
+    df = pandas.DataFrame(
         {
             "mixed": ["2023-12-12T01:59:59.352Z", "2023-12-12T01:54:44Z"],
         }
     )
 
-    # Force pandas v2 behavior
-    result_v2 = parse_datetime(df_v2, "mixed", force_version="2.0.0")
-    assert str(result_v2[0]) == "2023-12-12 01:59:59.352000+00:00"
-    assert str(result_v2[1]) == "2023-12-12 01:54:44+00:00"
-    # Test with pandas v1 behavior (force version 1)
+    result = parse_datetime(df, "mixed")
+    assert str(result[0]) == "2023-12-12 01:59:59.352000+00:00"
+    assert str(result[1]) == "2023-12-12 01:54:44+00:00"
 
-    df_v1 = pandas.DataFrame(
-        {
-            "mixed": ["2023-12-12T01:59:59.352Z", "2023-12-12T01:54:44Z"],
-        }
+
+def test_all_null_datetime_column():
+    """Test dataframe_from_result_table with a column where all datetime values are null (pandas 3.0 regression)"""
+    df = dataframe_from_result_table(
+        KustoResultTable(
+            {
+                "TableName": "Table_0",
+                "Columns": [
+                    {"ColumnName": "timestamp", "ColumnType": "datetime"},
+                    {"ColumnName": "value", "ColumnType": "real"},
+                ],
+                "Rows": [
+                    [None, 10],
+                    [None, 11],
+                ],
+            }
+        )
     )
 
-    # Force pandas v1 behavior - it should add .000 to dates without milliseconds
-    result_v1 = parse_datetime(df_v1, "mixed", force_version="1.5.3")
-    assert str(result_v1[0]) == "2023-12-12 01:59:59.352000+00:00"
-    assert str(result_v1[1]) == "2023-12-12 01:54:44+00:00"
+    assert len(df) == 2
+    assert pandas.isnull(df["timestamp"][0])
+    assert pandas.isnull(df["timestamp"][1])
+    assert df["value"][0] == 10
+    assert df["value"][1] == 11

azure-kusto-ingest/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "azure-kusto-ingest"
-version = "6.0.1"
+version = "6.0.2"
 description = "Kusto Ingest Client"
 authors = [
     { name = "Microsoft Corporation", email = "kustalk@microsoft.com" },

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "azure-kusto-python"
-version = "6.0.1"
+version = "6.0.2"
 description = "Microsoft Azure Kusto Python SDK"
 dependencies = [
     "azure-kusto-data",

quick-start/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "quick-start"
-version = "6.0.1"
+version = "6.0.2"
 description = "Microsoft Azure Kusto Python SDK"
 dependencies = [
     "azure-kusto-data",