cannot call stripplot, boxplot, or violinplot

[joshmaxsilverman]

I'm unable to call stripplot, boxplot, or violinplot. A use case:

> sns.boxplot(x='dev_from_overall', y='vessel', data=df)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-30-02db1e3dae3b> in <module>()
----> 1 sns.boxplot(x='dev_from_overall', y='vessel', data=df)

TypeError: boxplot() takes at least 1 argument (0 given)

On the other hand, stripplot isn't even found:

> import seaborn as sns
> sns.set_style("whitegrid")
> tips = sns.load_dataset("tips")
> ax = sns.stripplot(x=tips["total_bill"])
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-31-a7d56fd8964f> in <module>()
      2 sns.set_style("whitegrid")
      3 tips = sns.load_dataset("tips")
----> 4 ax = sns.stripplot(x=tips["total_bill"])

AttributeError: 'module' object has no attribute 'stripplot'

I'm on 0.5.1, any ideas?

[mwaskom]

The API of boxplot and violinplot has changed since 0.5.1 was released, and stripplot was added. See this pull request for details.

[joshmaxsilverman]

I've switched to the dev-channel and tried to issue this from the docs

import seaborn as sns
sns.set_style("whitegrid")
tips = sns.load_dataset("tips")
sns.boxplot("day", "total_bill", data=tips)

and get the following error, which I also get with my own data.

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-66-5852717fecb6> in <module>()
      2 sns.set_style("whitegrid")
      3 tips = sns.load_dataset("tips")
----> 4 sns.boxplot("day", "total_bill", data=tips)

/Users/fherngulley/anaconda/lib/python2.7/site-packages/seaborn/distributions.pyc in boxplot(vals, groupby, names, join_rm, order, color, alpha, fliersize, linewidth, widths, saturation, label, ax, **kwargs)
    182     # Calculate the KDE
    183     if _has_statsmodels:
--> 184         # Prefer using statsmodels for kernel flexibility
    185         x, y = _statsmodels_univariate_kde(data, kernel, bw,
    186                                            gridsize, cut, clip,

/Users/fherngulley/anaconda/lib/python2.7/site-packages/seaborn/distributions.pyc in _box_reshape(vals, groupby, names, order)
     98         kde_kws = dict()
     99     if rug_kws is None:
--> 100         rug_kws = dict()
    101     if fit_kws is None:
    102         fit_kws = dict()

/Users/fherngulley/anaconda/lib/python2.7/site-packages/numpy/core/numeric.pyc in asarray(a, dtype, order)
    460 
    461     """
--> 462     return array(a, dtype, copy=False, order=order)
    463 
    464 def asanyarray(a, dtype=None, order=None):

ValueError: could not convert string to float: day

[mwaskom]

Since the stacktrace is referencing seaborn/distributions.py i'm guess the upgrade didn't fully work somehow, since boxplot currently lives in seaborn/categorical.py.