Update profile_report.py (#1515)

src/ydata_profiling/profile_report.py

@@ -3,6 +3,11 @@
 import warnings
 from pathlib import Path
 from typing import Any, Optional, Union
+from PIL import Image
+import warnings
+with warnings.catch_warnings():
+    warnings.simplefilter("ignore")
+    import pkg_resources
 
 try:
     from pyspark.sql import DataFrame as sDataFrame
@@ -11,6 +16,7 @@
 
     sDataFrame = TypeVar("sDataFrame")  # type: ignore
 
+
 from dataclasses import asdict, is_dataclass
 
 import numpy as np
@@ -97,8 +103,11 @@ def __init__(
             type_schema: optional dict containing pairs of `column name`: `type`
             **kwargs: other arguments, for valid arguments, check the default configuration file.
         """
-        self.__validate_inputs(df, minimal, tsmode, config_file, lazy)
+
 
+        self.__validate_inputs(df, minimal, tsmode, config_file, lazy)
+
+
         if config_file or minimal:
             if not config_file:
                 config_file = get_config("config_minimal.yaml")
@@ -340,6 +349,13 @@ def to_file(self, output_file: Union[str, Path], silent: bool = True) -> None:
             output_file: The name or the path of the file to generate including the extension (.html, .json).
             silent: if False, opens the file in the default browser or download it in a Google Colab environment
         """
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
+            pillow_version = pkg_resources.get_distribution("Pillow").version
+        version_tuple = tuple(map(int, pillow_version.split('.')))
+        if version_tuple < (9, 5, 0):
+            warnings.warn("Try running command: 'pip install --upgrade Pillow' to avoid ValueError")
+
         if not isinstance(output_file, Path):
             output_file = Path(str(output_file))