On Wednesday, December 16, 2015 at 5:57:04 AM UTC-5, Robert wrote:
> On Wednesday, December 16, 2015 at 5:44:21 AM UTC-5, 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
>
> BTW, I use Python 2.7 on Canopy.
>
> patsy: VERSION 0.4.0
>
> Thanks,
When I use this code snippet, copied from the wb, it is also wrong:
import numpy as np
import pandas as pd
import patsy
time = np.tile([1, 2, 3, 4], 3)
country = np.repeat(['a', 'b', 'c'], 4)
event_int = np.random.randint(0, 2, size=len(time))
df = pd.DataFrame({'event_int':event_int, 'time_day':time, 'country':country})
f0 = 'event_int ~ C(time_day):C(country) - 1'
y,X0 = patsy.dmatrices(f0, df, return_type='dataframe')
print len(X0.columns)
I am new to these packages. I don't know why it is correct for other users.
Thanks,
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