[BUG] AssertionError when cudf.pandas is used with ydata_profiling

[galipremsagar]

I am getting an AssertionError in the ydata test note book: https://github.com/ydataai/ydata-profiling/blob/develop/tests/notebooks/meteorites.ipynb

from pathlib import Path

import numpy as np
import pandas as pd
import requests
from IPython.display import display
from IPython.utils.capture import capture_output

import ydata_profiling
from ydata_profiling.utils.cache import cache_file

file_name = cache_file(
    "meteorites.csv",
    "https://data.nasa.gov/api/views/gh4g-9sfh/rows.csv?accessType=DOWNLOAD",
)

df = pd.read_csv(file_name)

# Note: Pandas does not support dates before 1880, so we ignore these for this analysis
df["year"] = pd.to_datetime(df["year"], errors="coerce")

# Example: Constant variable
df["source"] = "NASA"

# Example: Boolean variable
df["boolean"] = np.random.choice([True, False], df.shape[0])

# Example: Mixed with base types
df["mixed"] = np.random.choice([1, "A"], df.shape[0])

# Example: Highly correlated variables
df["reclat_city"] = df["reclat"] + np.random.normal(scale=5, size=(len(df)))

# Example: Duplicate observations
duplicates_to_add = pd.DataFrame(df.iloc[0:10])
duplicates_to_add["name"] = duplicates_to_add["name"] + " copy"

df = pd.concat([df, duplicates_to_add], ignore_index=True)

# Inline report without saving
with capture_output() as out:
    pr = df.profile_report(
        sort=None,
        html={"style": {"full_width": True}},
        progress_bar=False,
        minimal=True,
    )
    display(pr)

assert len(out.outputs) == 2
assert out.outputs[0].data["text/plain"] == "<IPython.core.display.HTML object>"
assert out.outputs[1].data["text/plain"] == ""

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
Cell In[3], line 11
      3     pr = df.profile_report(
      4         sort=None,
      5         html={"style": {"full_width": True}},
      6         progress_bar=False,
      7         minimal=True,
      8     )
      9     display(pr)
---> 11 assert len(out.outputs) == 2
     12 assert out.outputs[0].data["text/plain"] == "<IPython.core.display.HTML object>"
     13 assert out.outputs[1].data["text/plain"] == ""

AssertionError: 

[Matt711]

xref #16420 and #12052

The problem is occurring because of this call pd.Timestamp.to_pydatetime(series.min()) which fails in cudf.pandas because series.min() returns a np.datetime64 object, not a pd.Timestamp. For example

# with cudf.pandas installed
series = pd.Series([pd.Timestamp(1)])
pd.Timestamp.to_pydatetime(series.min())

AttributeError: 'numpy.datetime64' object has no attribute 'month'

It should be closed by #16450