'Series' object has no attribute 'iteritems' - iteritems seems to have been deprecated

[wayner9]

Problem Description

Get an error when trying to generate Tearsheet. 'Series' object has no attribute 'iteritems'

Apparently Pandas 2.0 deprecated iteritems. I am using pandas 2.1.2.

Will this be fixed?

[qq17908]

edit the plotting.py file in ur site packages folder from iteritems() to items()

[parallelopipedon]

edit the plotting.py file in ur site packages folder from iteritems() to items()

Then it's ValueError: Incompatible indexer with Series...

File [c:\Users\hyan212\Miniconda3\lib\site-packages\pyfolio\plotting.py:1664](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1664), in show_worst_drawdown_periods(returns, top)
   [1648](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1648) def show_worst_drawdown_periods(returns, top=5):
   [1649](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1649)     """
   [1650](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1650)     Prints information about the worst drawdown periods.
   [1651](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1651) 
   (...)
   [1661](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1661)         Amount of top drawdowns periods to plot (default 5).
   [1662](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1662)     """
-> [1664](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1664)     drawdown_df = timeseries.gen_drawdown_table(returns, top=top)
   [1665](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1665)     utils.print_table(
   [1666](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1666)         drawdown_df.sort_values('Net drawdown in %', ascending=False),
   [1667](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1667)         name='Worst drawdown periods',
   [1668](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1668)         float_format='{0:.2f}'.format,
   [1669](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/plotting.py:1669)     )

File [c:\Users\hyan212\Miniconda3\lib\site-packages\pyfolio\timeseries.py:1015](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/timeseries.py:1015), in gen_drawdown_table(returns, top)
   [1012](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/timeseries.py:1012)     else:
   [1013](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/timeseries.py:1013)         df_drawdowns.loc[i, 'Recovery date'] = (recovery.to_pydatetime()
   [1014](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/timeseries.py:1014)                                                 .strftime('%Y-%m-%d'))
-> [1015](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/timeseries.py:1015)     df_drawdowns.loc[i, 'Net drawdown in %'] = (
   [1016](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/timeseries.py:1016)         (df_cum.loc[peak] - df_cum.loc[valley]) / df_cum.loc[peak]) * 100
   [1018](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/timeseries.py:1018) df_drawdowns['Peak date'] = pd.to_datetime(df_drawdowns['Peak date'])
   [1019](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pyfolio/timeseries.py:1019) df_drawdowns['Valley date'] = pd.to_datetime(df_drawdowns['Valley date'])

File [c:\Users\hyan212\Miniconda3\lib\site-packages\pandas\core\indexing.py:885](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:885), in _LocationIndexer.__setitem__(self, key, value)
    [882](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:882) self._has_valid_setitem_indexer(key)
    [884](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:884) iloc = self if self.name == "iloc" else self.obj.iloc
--> [885](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:885) iloc._setitem_with_indexer(indexer, value, self.name)

File [c:\Users\hyan212\Miniconda3\lib\site-packages\pandas\core\indexing.py:1895](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:1895), in _iLocIndexer._setitem_with_indexer(self, indexer, value, name)
   [1893](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:1893)     self._setitem_with_indexer_split_path(indexer, value, name)
   [1894](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:1894) else:
-> [1895](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:1895)     self._setitem_single_block(indexer, value, name)

File [c:\Users\hyan212\Miniconda3\lib\site-packages\pandas\core\indexing.py:2129](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2129), in _iLocIndexer._setitem_single_block(self, indexer, value, name)
   [2123](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2123)     indexer = maybe_convert_ix(*indexer)  # e.g. test_setitem_frame_align
   [2125](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2125) if (isinstance(value, ABCSeries) and name != "iloc") or isinstance(value, dict):
   [2126](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2126)     # TODO(EA): ExtensionBlock.setitem this causes issues with
   [2127](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2127)     # setting for extensionarrays that store dicts. Need to decide
   [2128](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2128)     # if it's worth supporting that.
-> [2129](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2129)     value = self._align_series(indexer, Series(value))
   [2131](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2131) elif isinstance(value, ABCDataFrame) and name != "iloc":
   [2132](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2132)     value = self._align_frame(indexer, value)._values

File [c:\Users\hyan212\Miniconda3\lib\site-packages\pandas\core\indexing.py:2368](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2368), in _iLocIndexer._align_series(self, indexer, ser, multiindex_indexer, using_cow)
   [2364](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2364)         return ser._values.copy()
   [2366](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2366)     return ser.reindex(ax)._values
-> [2368](file:///C:/Users/hyan212/Miniconda3/lib/site-packages/pandas/core/indexing.py:2368) raise ValueError("Incompatible indexer with Series")

ValueError: Incompatible indexer with Series

[sandroboehme]

I was just about to open a bug entry here as I haven't got a response to my Stackoverflow question yet.
With Pandas <2.0.0 I haven't got it running either but I'd certainly prefer a more recent version.

More details to reproduce it can be found here if needed:
https://stackoverflow.com/questions/77636192/attributeerror-series-object-has-no-attribute-iteritems-in-simple-custom
But Pandas 2.0 deprecated iteritems is kinda enough of a description I guess :-D

[sandroboehme]

It looks like Pyfolio is not maintained anymore.
I've got it working by using
pyfolio-reloaded. See:
#690

[MarkovMarkowitz]

!pip install pandas=1.5.3

problem solved !