Я попытался соединить / объединить / конкатировать два файла данных modin.pandas и потерпел неудачу.Кому-нибудь удалось выполнить эту операцию?Это реализация панд модин-проекта больших данных.
Источник здесь: https://github.com/modin-project/modin/blob/master/modin/pandas/dataframe.py и https://github.com/modin-project/modin/blob/master/modin/pandas/concat.py
Примеры:
import modin.pandas as pd
vals = pd.DataFrame([1,2,3,4], index=['2018-01-01','2018-01-02','2018-01-03','2018-01-04'], columns=['Col1']); # print(vals) #
table = pd.DataFrame([5,6,7,8], index=['2018-01-01','2018-01-02','2018-01-03','2018-01-04'], columns=['Col2']); # print(table)
Попытка кулака: modin.pandas.DataFrame.join
result = table.join(other=vals, on=None, how='outer', sort=False); # Modin: Doesn't work
print(result)
Соответствующее сообщение об ошибке:
Suppressing duplicate error message.
Suppressing duplicate error message.
Suppressing duplicate error message.
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
~/anaconda3/lib/python3.6/site-packages/IPython/core/formatters.py in __call__(self, obj)
700 type_pprinters=self.type_printers,
701 deferred_pprinters=self.deferred_printers)
--> 702 printer.pretty(obj)
703 printer.flush()
704 return stream.getvalue()
~/anaconda3/lib/python3.6/site-packages/IPython/lib/pretty.py in pretty(self, obj)
393 if callable(meth):
394 return meth(obj, self, cycle)
--> 395 return _default_pprint(obj, self, cycle)
396 finally:
397 self.end_group()
~/anaconda3/lib/python3.6/site-packages/IPython/lib/pretty.py in _default_pprint(obj, p, cycle)
508 if _safe_getattr(klass, '__repr__', None) is not object.__repr__:
509 # A user-provided repr. Find newlines and replace them with p.break_()
--> 510 _repr_pprint(obj, p, cycle)
511 return
512 p.begin_group(1, '<')
~/anaconda3/lib/python3.6/site-packages/IPython/lib/pretty.py in _repr_pprint(obj, p, cycle)
699 """A pprint that just redirects to the normal repr function."""
700 # Find newlines and replace them with p.break_()
--> 701 output = repr(obj)
702 for idx,output_line in enumerate(output.splitlines()):
703 if idx:
~/anaconda3/lib/python3.6/site-packages/modin/pandas/dataframe.py in __repr__(self)
454 if len(self._row_metadata) <= 60 and \
455 len(self._col_metadata) <= 20:
--> 456 return repr(self._repr_pandas_builder())
457 # The split here is so that we don't repr pandas row lengths.
458 result = self._repr_pandas_builder()
~/anaconda3/lib/python3.6/site-packages/modin/pandas/dataframe.py in _repr_pandas_builder(self)
382 # If we don't exceed the maximum number of values on either dimension
383 if len(self.index) <= 60 and len(self.columns) <= 20:
--> 384 return to_pandas(self)
385
386 if len(self.index) >= 60:
~/anaconda3/lib/python3.6/site-packages/modin/pandas/utils.py in to_pandas(df)
259 """
260 pandas_df = pandas.concat(ray.get(df._row_partitions), copy=False)
--> 261 pandas_df.index = df.index
262 pandas_df.columns = df.columns
263 return pandas_df
~/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py in __setattr__(self, name, value)
3625 try:
3626 object.__getattribute__(self, name)
-> 3627 return object.__setattr__(self, name, value)
3628 except AttributeError:
3629 pass
pandas/_libs/properties.pyx in pandas._libs.properties.AxisProperty.__set__()
~/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py in _set_axis(self, axis, labels)
557
558 def _set_axis(self, axis, labels):
--> 559 self._data.set_axis(axis, labels)
560 self._clear_item_cache()
561
~/anaconda3/lib/python3.6/site-packages/pandas/core/internals.py in set_axis(self, axis, new_labels)
3072 raise ValueError('Length mismatch: Expected axis has %d elements, '
3073 'new values have %d elements' %
-> 3074 (old_len, new_len))
3075
3076 self.axes[axis] = new_labels
ValueError: Length mismatch: Expected axis has 8 elements, new values have 4 elements
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
~/anaconda3/lib/python3.6/site-packages/IPython/core/formatters.py in __call__(self, obj)
343 method = get_real_method(obj, self.print_method)
344 if method is not None:
--> 345 return method()
346 return None
347 else:
~/anaconda3/lib/python3.6/site-packages/modin/pandas/dataframe.py in _repr_html_(self)
473 if len(self._row_metadata) <= 60 and \
474 len(self._col_metadata) <= 20:
--> 475 return self._repr_pandas_builder()._repr_html_()
476 # We split so that we insert our correct dataframe dimensions.
477 result = self._repr_pandas_builder()._repr_html_()
~/anaconda3/lib/python3.6/site-packages/modin/pandas/dataframe.py in _repr_pandas_builder(self)
382 # If we don't exceed the maximum number of values on either dimension
383 if len(self.index) <= 60 and len(self.columns) <= 20:
--> 384 return to_pandas(self)
385
386 if len(self.index) >= 60:
~/anaconda3/lib/python3.6/site-packages/modin/pandas/utils.py in to_pandas(df)
259 """
260 pandas_df = pandas.concat(ray.get(df._row_partitions), copy=False)
--> 261 pandas_df.index = df.index
262 pandas_df.columns = df.columns
263 return pandas_df
~/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py in __setattr__(self, name, value)
3625 try:
3626 object.__getattribute__(self, name)
-> 3627 return object.__setattr__(self, name, value)
3628 except AttributeError:
3629 pass
pandas/_libs/properties.pyx in pandas._libs.properties.AxisProperty.__set__()
~/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py in _set_axis(self, axis, labels)
557
558 def _set_axis(self, axis, labels):
--> 559 self._data.set_axis(axis, labels)
560 self._clear_item_cache()
561
~/anaconda3/lib/python3.6/site-packages/pandas/core/internals.py in set_axis(self, axis, new_labels)
3072 raise ValueError('Length mismatch: Expected axis has %d elements, '
3073 'new values have %d elements' %
-> 3074 (old_len, new_len))
3075
3076 self.axes[axis] = new_labels
ValueError: Length mismatch: Expected axis has 8 elements, new values have 4 elements
Вторая попытка: modin.pandas.concat
result = pd.concat([table, vals], axis=1,); # Modin: Doesn't work
print(result)
Соответствующее сообщение об ошибке:
> Suppressing duplicate error message. Suppressing duplicate error
> message. Suppressing duplicate error message.
>
> --------------------------------------------------------------------------- ValueError Traceback (most recent call
> last) <ipython-input-3-4bf001fd75fb> in <module>()
> 2 result = pd.concat([table, vals], axis=1,); # Modin: Doesn't work
> 3
> ----> 4 print(result)
>
> ~/anaconda3/lib/python3.6/site-packages/modin/pandas/dataframe.py in
> __str__(self)
> 229
> 230 def __str__(self):
> --> 231 return repr(self)
> 232
> 233 def _repr_pandas_builder(self):
>
> ~/anaconda3/lib/python3.6/site-packages/modin/pandas/dataframe.py in
> __repr__(self)
> 454 if len(self._row_metadata) <= 60 and \
> 455 len(self._col_metadata) <= 20:
> --> 456 return repr(self._repr_pandas_builder())
> 457 # The split here is so that we don't repr pandas row lengths.
> 458 result = self._repr_pandas_builder()
>
> ~/anaconda3/lib/python3.6/site-packages/modin/pandas/dataframe.py in
> _repr_pandas_builder(self)
> 382 # If we don't exceed the maximum number of values on either dimension
> 383 if len(self.index) <= 60 and len(self.columns) <= 20:
> --> 384 return to_pandas(self)
> 385
> 386 if len(self.index) >= 60:
>
> ~/anaconda3/lib/python3.6/site-packages/modin/pandas/utils.py in
> to_pandas(df)
> 259 """
> 260 pandas_df = pandas.concat(ray.get(df._row_partitions), copy=False)
> --> 261 pandas_df.index = df.index
> 262 pandas_df.columns = df.columns
> 263 return pandas_df
>
> ~/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py in
> __setattr__(self, name, value) 3625 try: 3626 object.__getattribute__(self, name)
> -> 3627 return object.__setattr__(self, name, value) 3628 except AttributeError: 3629 pass
>
> pandas/_libs/properties.pyx in
> pandas._libs.properties.AxisProperty.__set__()
>
> ~/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py in
> _set_axis(self, axis, labels)
> 557
> 558 def _set_axis(self, axis, labels):
> --> 559 self._data.set_axis(axis, labels)
> 560 self._clear_item_cache()
> 561
>
> ~/anaconda3/lib/python3.6/site-packages/pandas/core/internals.py in
> set_axis(self, axis, new_labels) 3072 raise
> ValueError('Length mismatch: Expected axis has %d elements, ' 3073
> 'new values have %d elements' %
> -> 3074 (old_len, new_len)) 3075 3076 self.axes[axis] = new_labels
>
> ValueError: Length mismatch: Expected axis has 8 elements, new values
> have 4 elements