index -9223372036854775808 is out of bounds for axis 0 with size 2

Current Behaviour

IndexError Traceback (most recent call last)

in ----> 1 profile_report.get_description() ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/typeguard/__init__.py in wrapper(*args, **kwargs) 1031 memo = _CallMemo(python_func, _localns, args=args, kwargs=kwargs) 1032 check_argument_types(memo) -> 1033 retval = func(*args, **kwargs) 1034 try: 1035 check_return_type(retval, memo) ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/profile_report.py in get_description(self) 315 Dict containing a description for each variable in the DataFrame. 316 """ --> 317 return self.description_set 318 319 def get_rejected_variables(self) -> set: ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/typeguard/__init__.py in wrapper(*args, **kwargs) 1031 memo = _CallMemo(python_func, _localns, args=args, kwargs=kwargs) 1032 check_argument_types(memo) -> 1033 retval = func(*args, **kwargs) 1034 try: 1035 check_return_type(retval, memo) ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/profile_report.py in description_set(self) 251 self.summarizer, 252 self.typeset, --> 253 self._sample, 254 ) 255 return self._description_set ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/describe.py in describe(config, df, summarizer, typeset, sample) 70 pbar.total += len(df.columns) 71 series_description = get_series_descriptions( ---> 72 config, df, summarizer, typeset, pbar 73 ) 74 ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/multimethod/__init__.py in __call__(self, *args, **kwargs) 313 func = self[tuple(func(arg) for func, arg in zip(self.type_checkers, args))] 314 try: --> 315 return func(*args, **kwargs) 316 except TypeError as ex: 317 raise DispatchError(f"Function {func.__code__}") from ex ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/pandas/summary_pandas.py in pandas_get_series_descriptions(config, df, summarizer, typeset, pbar) 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}") ~/anaconda3/envs/py3.7/lib/python3.7/multiprocessing/pool.py in next(self, timeout) 746 if success: 747 return value --> 748 raise value 749 750 __next__ = next # XXX ~/anaconda3/envs/py3.7/lib/python3.7/multiprocessing/pool.py in worker(inqueue, outqueue, initializer, initargs, maxtasks, wrap_exception) 119 job, i, func, args, kwds = task 120 try: --> 121 result = (True, func(*args, **kwds)) 122 except Exception as e: 123 if wrap_exception and func is not _helper_reraises_exception: ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/pandas/summary_pandas.py in multiprocess_1d(args) 77 """ 78 column, series = args ---> 79 return column, describe_1d(config, series, summarizer, typeset) 80 81 pool_size = config.pool_size ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/multimethod/__init__.py in __call__(self, *args, **kwargs) 313 func = self[tuple(func(arg) for func, arg in zip(self.type_checkers, args))] 314 try: --> 315 return func(*args, **kwargs) 316 except TypeError as ex: 317 raise DispatchError(f"Function {func.__code__}") from ex ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/pandas/summary_pandas.py in pandas_describe_1d(config, series, summarizer, typeset) 55 56 typeset.type_schema[series.name] = vtype ---> 57 return summarizer.summarize(config, series, dtype=vtype) 58 59 ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/summarizer.py in summarize(self, config, series, dtype) 37 object: 38 """ ---> 39 _, _, summary = self.handle(str(dtype), config, series, {"type": str(dtype)}) 40 return summary 41 ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/handler.py in handle(self, dtype, *args, **kwargs) 60 funcs = self.mapping.get(dtype, []) 61 op = compose(funcs) ---> 62 return op(*args) 63 64 ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/handler.py in func2(*x) 19 return f(*x) 20 else: ---> 21 return f(*res) 22 23 return func2 ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/handler.py in func2(*x) 19 return f(*x) 20 else: ---> 21 return f(*res) 22 23 return func2 ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/handler.py in func2(*x) 19 return f(*x) 20 else: ---> 21 return f(*res) 22 23 return func2 ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/handler.py in func2(*x) 15 def func(f: Callable, g: Callable) -> Callable: 16 def func2(*x) -> Any: ---> 17 res = g(*x) 18 if type(res) == bool: 19 return f(*x) ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/multimethod/__init__.py in __call__(self, *args, **kwargs) 313 func = self[tuple(func(arg) for func, arg in zip(self.type_checkers, args))] 314 try: --> 315 return func(*args, **kwargs) 316 except TypeError as ex: 317 raise DispatchError(f"Function {func.__code__}") from ex ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/summary_algorithms.py in inner(config, series, summary) 63 if not summary["hashable"]: 64 return config, series, summary ---> 65 return fn(config, series, summary) 66 67 return inner ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/summary_algorithms.py in inner(config, series, summary) 80 series = series.dropna() 81 ---> 82 return fn(config, series, summary) 83 84 return inner ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/pandas/describe_numeric_pandas.py in pandas_describe_numeric_1d(config, series, summary) 118 119 if chi_squared_threshold > 0.0: --> 120 stats["chi_squared"] = chi_square(finite_values) 121 122 stats["range"] = stats["max"] - stats["min"] ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/ydata_profiling/model/summary_algorithms.py in chi_square(values, histogram) 50 ) -> dict: 51 if histogram is None: ---> 52 histogram, _ = np.histogram(values, bins="auto") 53 return dict(chisquare(histogram)._asdict()) 54 <__array_function__ internals> in histogram(*args, **kwargs) ~/anaconda3/envs/py3.7/lib/python3.7/site-packages/numpy/lib/histograms.py in histogram(a, bins, range, normed, weights, density) 854 # The index computation is not guaranteed to give exactly 855 # consistent results within ~1 ULP of the bin edges. --> 856 decrement = tmp_a < bin_edges[indices] 857 indices[decrement] -= 1 858 # The last bin includes the right edge. The other bins do not. IndexError: index -9223372036854775808 is out of bounds for axis 0 with size 2 ### Expected Behaviour return data profiling for this table ### Data Description SUM_TIMER_READ_WRITE 0 10950043000000000 ### Code that reproduces the bug ```Python import pandas as pd from ydata_profiling import ProfileReport b = {'SUM_TIMER_READ_WRITE': [10950043000000000]} table = pd.DataFrame.from_dict(b) profile_report = ProfileReport( table, progress_bar=False, infer_dtypes=False, missing_diagrams=None, correlations=None, interactions=None, # duplicates=None, samples=None) description = profile_report.get_description() ``` ### pandas-profiling version v4.1.1 ### Dependencies ```Text pandas==1.3.5 ydata-profiling==4.1.1 ``` ### OS Linux dsp-X299-WU8 5.15.0-69-generic #76~20.04.1-Ubuntu SMP Mon Mar 20 15:54:19 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux ### Checklist - [X] There is not yet another bug report for this issue in the [issue tracker](https://github.com/ydataai/pandas-profiling/issues) - [X] The problem is reproducible from this bug report. [This guide](http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) can help to craft a minimal bug report. - [X] The issue has not been resolved by the entries listed under [Common Issues](https://pandas-profiling.ydata.ai/docs/master/pages/support_contrib/common_issues.html).

ydataai / ydata-profiling

index -9223372036854775808 is out of bounds for axis 0 with size 2 #1313

Current Behaviour