AttributeError: 'datetime.date' object has no attribute 'hour'

[DataWanderer]

snippet used

# Setting what variables are time series
type_schema = {
    "NO2 Mean": "timeseries",
    "NO2 1st Max Value": "timeseries",
    "NO2 1st Max Hour": "timeseries",
    "NO2 AQI": "timeseries",
    "cos": "numeric",
    "cat": "numeric",
}

profile = ProfileReport(
    giftcard_activity,
    tsmode=True,
    type_schema=type_schema,
    sortby="********",
    title="Time-Series EDA",
)

profile.to_file("*******.html")

Summarize dataset: 0%| | 0/5 [00:00<?, ?it/s]/usr/local/lib/python3.11/site-packages/ydata_profiling/model/pandas/describe_date_pandas.py:44: UserWarning: Discarding nonzero nanoseconds in conversion. "min": pd.Timestamp.to_pydatetime(series.min()), Summarize dataset: 0%| | 0/66 [00:00<?, ?it/s]

AttributeError Traceback (most recent call last) Cell In[18], line 19 2 type_schema = { 3 "NO2 Mean": "timeseries", 4 "NO2 1st Max Value": "timeseries", (...) 8 "cat": "numeric", 9 } 11 profile = ProfileReport( 12 giftcard_activity, 13 tsmode=True, (...) 16 title="Time-Series EDA", 17 ) ---> 19 profile.to_file("giftcard_activity_timeseries.html")

File /usr/local/lib/python3.11/site-packages/ydata_profiling/profile_report.py:379, in ProfileReport.to_file(self, output_file, silent) 376 self.config.html.assets_prefix = str(output_file.stem) + "_assets" 377 create_html_assets(self.config, output_file) --> 379 data = self.to_html() 381 if output_file.suffix != ".html": 382 suffix = output_file.suffix

File /usr/local/lib/python3.11/site-packages/ydata_profiling/profile_report.py:496, in ProfileReport.to_html(self) 488 def to_html(self) -> str: 489 """Generate and return complete template as lengthy string 490 for using with frameworks. 491 (...) 494 495 """ --> 496 return self.html

File /usr/local/lib/python3.11/site-packages/ydata_profiling/profile_report.py:292, in ProfileReport.html(self) 289 @property 290 def html(self) -> str: 291 if self._html is None: --> 292 self._html = self._render_html() 293 return self._html

File /usr/local/lib/python3.11/site-packages/ydata_profiling/profile_report.py:409, in ProfileReport._render_html(self) 406 def _render_html(self) -> str: 407 from ydata_profiling.report.presentation.flavours import HTMLReport --> 409 report = self.report 411 with tqdm( 412 total=1, desc="Render HTML", disable=not self.config.progress_bar 413 ) as pbar: 414 html = HTMLReport(copy.deepcopy(report)).render( 415 nav=self.config.html.navbar_show, 416 offline=self.config.html.use_local_assets, (...) 424 version=self.description_set.package["ydata_profiling_version"], 425 )

File /usr/local/lib/python3.11/site-packages/ydata_profiling/profile_report.py:286, in ProfileReport.report(self) 283 @property 284 def report(self) -> Root: 285 if self._report is None: --> 286 self._report = get_report_structure(self.config, self.description_set) 287 return self._report

File /usr/local/lib/python3.11/site-packages/ydata_profiling/profile_report.py:268, in ProfileReport.description_set(self) 265 @property 266 def description_set(self) -> BaseDescription: 267 if self._description_set is None: --> 268 self._description_set = describe_df( 269 self.config, 270 self.df, 271 self.summarizer, 272 self.typeset, 273 self._sample, 274 ) 275 return self._description_set

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/describe.py:74, in describe(config, df, summarizer, typeset, sample) 72 # Variable-specific 73 pbar.total += len(df.columns) ---> 74 series_description = get_series_descriptions( 75 config, df, summarizer, typeset, pbar 76 ) 78 pbar.set_postfix_str("Get variable types") 79 pbar.total += 1

File /usr/local/lib/python3.11/site-packages/multimethod/init.py:369, in multimethod.call(self, *args, **kwargs) 367 func = self.dispatch(*args) 368 try: --> 369 return func(*args, **kwargs) 370 except TypeError as ex: 371 raise DispatchError(f"Function {func.code}") from ex

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/pandas/summary_pandas.py:99, in pandas_get_series_descriptions(config, df, summarizer, typeset, pbar) 96 else: 97 # TODO: use Pool for Linux-based systems 98 with multiprocessing.pool.ThreadPool(pool_size) as executor: ---> 99 for i, (column, description) in enumerate( 100 executor.imap_unordered(multiprocess_1d, args) 101 ): 102 pbar.set_postfix_str(f"Describe variable:{column}") 103 series_description[column] = description

File /usr/local/lib/python3.11/multiprocessing/pool.py:873, in IMapIterator.next(self, timeout) 871 if success: 872 return value --> 873 raise value

File /usr/local/lib/python3.11/multiprocessing/pool.py:125, in worker(inqueue, outqueue, initializer, initargs, maxtasks, wrap_exception) 123 job, i, func, args, kwds = task 124 try: --> 125 result = (True, func(*args, **kwds)) 126 except Exception as e: 127 if wrap_exception and func is not _helper_reraises_exception:

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/pandas/summary_pandas.py:79, in pandas_get_series_descriptions..multiprocess_1d(args) 69 """Wrapper to process series in parallel. 70 71 Args: (...) 76 A tuple with column and the series description. 77 """ 78 column, series = args ---> 79 return column, describe_1d(config, series, summarizer, typeset)

File /usr/local/lib/python3.11/site-packages/multimethod/init.py:369, in multimethod.call(self, *args, **kwargs) 367 func = self.dispatch(*args) 368 try: --> 369 return func(*args, **kwargs) 370 except TypeError as ex: 371 raise DispatchError(f"Function {func.code}") from ex

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/pandas/summary_pandas.py:57, in pandas_describe_1d(config, series, summarizer, typeset) 54 vtype = typeset.detect_type(series) 56 typeset.type_schema[series.name] = vtype ---> 57 return summarizer.summarize(config, series, dtype=vtype)

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/summarizer.py:42, in BaseSummarizer.summarize(self, config, series, dtype) 34 def summarize( 35 self, config: Settings, series: pd.Series, dtype: Type[VisionsBaseType] 36 ) -> dict: 37 """ 38 39 Returns: 40 object: 41 """ ---> 42 _, _, summary = self.handle(str(dtype), config, series, {"type": str(dtype)}) 43 return summary

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/handler.py:62, in Handler.handle(self, dtype, *args, **kwargs) 60 funcs = self.mapping.get(dtype, []) 61 op = compose(funcs) ---> 62 return op(*args)

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/handler.py:21, in compose..func..func2(*x) 19 return f(*x) 20 else: ---> 21 return f(*res)

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/handler.py:21, in compose..func..func2(*x) 19 return f(*x) 20 else: ---> 21 return f(*res)

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/handler.py:21, in compose..func..func2(*x) 19 return f(*x) 20 else: ---> 21 return f(*res)

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/handler.py:17, in compose..func..func2(*x) 16 def func2(*x) -> Any: ---> 17 res = g(*x) 18 if type(res) == bool: 19 return f(*x)

File /usr/local/lib/python3.11/site-packages/multimethod/init.py:369, in multimethod.call(self, *args, **kwargs) 367 func = self.dispatch(*args) 368 try: --> 369 return func(*args, **kwargs) 370 except TypeError as ex: 371 raise DispatchError(f"Function {func.code}") from ex

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/summary_algorithms.py:73, in series_hashable..inner(config, series, summary) 71 if not summary["hashable"]: 72 return config, series, summary ---> 73 return fn(config, series, summary)

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/summary_algorithms.py:90, in series_handle_nulls..inner(config, series, summary) 87 if series.hasnans: 88 series = series.dropna() ---> 90 return fn(config, series, summary)

File /usr/local/lib/python3.11/site-packages/ydata_profiling/model/pandas/describe_date_pandas.py:44, in pandas_describe_date_1d(config, series, summary) 34 summary.update( 35 { 36 "min": pd.NaT, (...) 39 } 40 ) 41 else: 42 summary.update( 43 { ---> 44 "min": pd.Timestamp.to_pydatetime(series.min()), 45 "max": pd.Timestamp.to_pydatetime(series.max()), 46 } 47 ) 49 summary["range"] = summary["max"] - summary["min"] 51 values = series.values.astype(np.int64) // 10**9

File timestamps.pyx:1150, in pandas._libs.tslibs.timestamps._Timestamp.to_pydatetime()

File timestamps.pyx:1172, in pandas._libs.tslibs.timestamps._Timestamp.to_pydatetime()

AttributeError: 'datetime.date' object has no attribute 'hour'