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ValueError: Must specify axis=0 or 1

See original GitHub issue

from ppca import PPCA
ppca = PPCA()
ppca.fit(X)

<ipython-input-36-931cb5915c29> in <module>()
----> 1 ppca.fit(X)

/usr/local/lib/python2.7/dist-packages/ppca/_ppca.pyc in fit(self, data, d, tol, min_obs, verbose)
     26 
     27         self.raw = data
---> 28         self.raw[np.isinf(self.raw)] = np.max(self.raw[np.isfinite(self.raw)])
     29 
     30         valid_series = np.sum(~np.isnan(self.raw), axis=0) >= min_obs

/usr/local/lib/python2.7/dist-packages/pandas/core/frame.pyc in __setitem__(self, key, value)
   2514             self._setitem_array(key, value)
   2515         elif isinstance(key, DataFrame):
-> 2516             self._setitem_frame(key, value)
   2517         else:
   2518             # set column

/usr/local/lib/python2.7/dist-packages/pandas/core/frame.pyc in _setitem_frame(self, key, value)
   2552         self._check_inplace_setting(value)
   2553         self._check_setitem_copy()
-> 2554         self._where(-key, value, inplace=True)
   2555 
   2556     def _ensure_valid_index(self, value):

/usr/local/lib/python2.7/dist-packages/pandas/core/generic.pyc in _where(self, cond, other, inplace, axis, level, errors, try_cast)
   5902 
   5903                 _, other = self.align(other, join='left', axis=axis,
-> 5904                                       level=level, fill_value=np.nan)
   5905 
   5906                 # if we are NOT aligned, raise as we cannot where index

/usr/local/lib/python2.7/dist-packages/pandas/core/frame.pyc in align(self, other, join, axis, level, copy, fill_value, method, limit, fill_axis, broadcast_axis)
   2917                                             method=method, limit=limit,
   2918                                             fill_axis=fill_axis,
-> 2919                                             broadcast_axis=broadcast_axis)
   2920 
   2921     @Appender(_shared_docs['reindex'] % _shared_doc_kwargs)

/usr/local/lib/python2.7/dist-packages/pandas/core/generic.pyc in align(self, other, join, axis, level, copy, fill_value, method, limit, fill_axis, broadcast_axis)
   5728                                       copy=copy, fill_value=fill_value,
   5729                                       method=method, limit=limit,
-> 5730                                       fill_axis=fill_axis)
   5731         else:  # pragma: no cover
   5732             raise TypeError('unsupported type: %s' % type(other))

/usr/local/lib/python2.7/dist-packages/pandas/core/generic.pyc in _align_series(self, other, join, axis, level, copy, fill_value, method, limit, fill_axis)
   5827                     fdata = fdata.reindex_indexer(join_index, lidx, axis=0)
   5828             else:
-> 5829                 raise ValueError('Must specify axis=0 or 1')
   5830 
   5831             if copy and fdata is self._data:

ValueError: Must specify axis=0 or 1```

Issue Analytics

State:
Created 5 years ago
Comments:7

Top GitHub Comments

3reactions

mhorsley30896commented, Apr 11, 2020

So if you pass a numpy array into .fit it seems to work

from ppca import PPCA
X = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
ppca = PPCA()
ppca.fit(X.values)

2reactions

pavel-razgovorovcommented, May 23, 2020

@mhorsley30896 is correct: you must pass a numpy array instead of a pandas DataFrame. You can convert a dataframe with the to_numpy method.

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