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,
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