On Wednesday, December 16, 2015 at 8:57:30 PM UTC-5, Josef Pktd wrote:
> On Wednesday, December 16, 2015 at 9:50:35 AM UTC-5, Robert wrote:
> > On Wednesday, December 16, 2015 at 6:34:21 AM UTC-5, Mark Lawrence wrote:
> > > On 16/12/2015 10:44, Robert wrote:
> > > > Hi,
> > > >
> > > > When I run the following code, there is an error:
> > > >
> > > > ValueError: For numerical factors, num_columns must be an int
> > > >
> > > >
> > > > ================
> > > > import numpy as np
> > > > import pandas as pd
> > > > from patsy import dmatrices
> > > > from sklearn.linear_model import LogisticRegression
> > > >
> > > > X = [0.5,0.75,1.0,1.25,1.5,1.75,1.75,2.0,2.25,2.5,2.75,3.0,3.25,
> > > > 3.5,4.0,4.25,4.5,4.75,5.0,5.5]
> > > > y = [0,0,0,0,0,0,1,0,1,0,1,0,1,0,1,1,1,1,1,1]
> > > >
> > > > zipped = list(zip(X,y))
> > > > df = pd.DataFrame(zipped,columns = ['study_hrs','p_or_f'])
> > > >
> > > > y, X = dmatrices('p_or_f ~ study_hrs', df, return_type="dataframe")
> > > > =======================
> > > >
> > > > I have check 'df' is this type:
> > > > =============
> > > > type(df)
> > > > Out[25]: pandas.core.frame.DataFrame
> > > > =============
> > > >
> > > > I cannot figure out where the problem is. Can you help me?
> > > > Thanks.
> > > >
> > > > Error message:
> > > > ..........
> > > >
> > > >
> > > > ---------------------------------------------------------------------------
> > > > ValueError Traceback (most recent call
> > > > last)
> > > > C:\Users\rj\pyprj\stackoverflow_logisticregression0.py in <module>()
> > > > 17 df = pd.DataFrame(zipped,columns = ['study_hrs','p_or_f'])
> > > > 18
> > > > ---> 19 y, X = dmatrices('p_or_f ~ study_hrs', df,
> > > > return_type="dataframe")
> > > > 20
> > > > 21 y = np.ravel(y)
> > > >
> > > > C:\Users\rj\AppData\Local\Enthought\Canopy\User\lib\site-packages\patsy\highlevel.pyc
> > > > in dmatrices(formula_like, data, eval_env, NA_action, return_type)
> > > > 295 eval_env = EvalEnvironment.capture(eval_env, reference=1)
> > > > 296 (lhs, rhs) = _do_highlevel_design(formula_like, data,
> > > > eval_env,
> > > > --> 297 NA_action, return_type)
> > > > 298 if lhs.shape[1] == 0:
> > > > 299 raise PatsyError("model is missing required outcome
> > > > variables")
> > > >
> > > > C:\Users\rj\AppData\Local\Enthought\Canopy\User\lib\site-packages\patsy\highlevel.pyc
> > > > in _do_highlevel_design(formula_like, data, eval_env, NA_action,
> > > > return_type)
> > > > 150 return iter([data])
> > > > 151 design_infos = _try_incr_builders(formula_like,
> > > > data_iter_maker, eval_env,
> > > > --> 152 NA_action)
> > > > 153 if design_infos is not None:
> > > > 154 return build_design_matrices(design_infos, data,
> > > >
> > > > C:\Users\rj\AppData\Local\Enthought\Canopy\User\lib\site-packages\patsy\highlevel.pyc
> > > > in _try_incr_builders(formula_like, data_iter_maker, eval_env,
> > > > NA_action)
> > > > 55 data_iter_maker,
> > > > 56 eval_env,
> > > > ---> 57 NA_action)
> > > > 58 else:
> > > > 59 return None
> > > >
> > > > C:\Users\rj\AppData\Local\Enthought\Canopy\User\lib\site-packages\patsy\build.pyc
> > > > in design_matrix_builders(termlists, data_iter_maker, eval_env,
> > > > NA_action)
> > > > 704 factor_states[factor],
> > > > 705
> > > > num_columns=num_column_counts[factor],
> > > > --> 706 categories=None)
> > > > 707 else:
> > > > 708 assert factor in cat_levels_contrasts
> > > >
> > > > C:\Users\rj\AppData\Local\Enthought\Canopy\User\lib\site-packages\patsy\design_info.pyc
> > > > in __init__(self, factor, type, state, num_columns, categories)
> > > > 86 if self.type == "numerical":
> > > > 87 if not isinstance(num_columns, int):
> > > > ---> 88 raise ValueError("For numerical factors,
> > > > num_columns "
> > > > 89 "must be an int")
> > > > 90 if categories is not None:
> > > >
> > > > ValueError: For numerical factors, num_columns must be an int
> > > >
> > >
> > > Slap the ValueError into a search engine and the first hit is
> > > https://groups.google.com/forum/#!topic/pystatsmodels/KcSzNqDxv-Q
>
> This was fixed in patsy 0.4.1 as discussed in this statsmodels thread.
> You need to upgrade patsy from 0.4.0.
>
> AFAIR, the type checking was too strict and broke with recent numpy versions.
>
> Josef
>
>
> > >
> > > --
> > > My fellow Pythonistas, ask not what our language can do for you, ask
> > > what you can do for our language.
> > >
> > > Mark Lawrence
> >
> > Hi,
> > I don't see a solution to my problem. I find the following demo code from
> >
> > https://patsy.readthedocs.org/en/v0.1.0/API-reference.html#patsy.dmatrix
> >
> > It doesn't work either on the Canopy. Does it work on your computer?
> > Thanks,
> >
> > /////////////
> > demo_data("a", "x", nlevels=3)
> > Out[134]:
> > {'a': ['a1', 'a2', 'a3', 'a1', 'a2', 'a3'],
> > 'x': array([ 1.76405235, 0.40015721, 0.97873798, 2.2408932 ,
> > 1.86755799,
> > -0.97727788])}
> >
> > mat = dmatrix("a + x", demo_data("a", "x", nlevels=3))
Thanks. It is right.
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