我尝试像这样制作垂直的seaborn boxplot
import pandas as pd
df = pd.DataFrame({'a' : ['a', 'b' , 'b', 'a'], 'b' : [5, 6, 4, 3] })
import seaborn as sns
import matplotlib.pylab as plt
%matplotlib inline
sns.boxplot( x= "b",y="a",data=df )
我得到了
我写东方
sns.boxplot( x= "c",y="a",data=df , orient = "v")
并获取
TypeError: unsupported operand type(s) for /: 'str' and 'int'
但是
sns.boxplot( x= "c",y="a",data=df , orient = "h")
工作coreect! 什么错了?
TypeError Traceback (most recent call last)
<ipython-input-16-5291a1613328> in <module>()
----> 1 sns.boxplot( x= "b",y="a",data=df , orient = "v")
C:\Program Files\Anaconda3\lib\site-packages\seaborn\categorical.py in boxplot(x, y, hue, data, order, hue_order, orient, color, palette, saturation, width, fliersize, linewidth, whis, notch, ax, **kwargs)
2179 kwargs.update(dict(whis=whis, notch=notch))
2180
-> 2181 plotter.plot(ax, kwargs)
2182 return ax
2183
C:\Program Files\Anaconda3\lib\site-packages\seaborn\categorical.py in plot(self, ax, boxplot_kws)
526 def plot(self, ax, boxplot_kws):
527 """Make the plot."""
--> 528 self.draw_boxplot(ax, boxplot_kws)
529 self.annotate_axes(ax)
530 if self.orient == "h":
C:\Program Files\Anaconda3\lib\site-packages\seaborn\categorical.py in draw_boxplot(self, ax, kws)
463 positions=[i],
464 widths=self.width,
--> 465 **kws)
466 color = self.colors[i]
467 self.restyle_boxplot(artist_dict, color, props)
C:\Program Files\Anaconda3\lib\site-packages\matplotlib\__init__.py in inner(ax, *args, **kwargs)
1816 warnings.warn(msg % (label_namer, func.__name__),
1817 RuntimeWarning, stacklevel=2)
-> 1818 return func(ax, *args, **kwargs)
1819 pre_doc = inner.__doc__
1820 if pre_doc is None:
C:\Program Files\Anaconda3\lib\site-packages\matplotlib\axes\_axes.py in boxplot(self, x, notch, sym, vert, whis, positions, widths, patch_artist, bootstrap, usermedians, conf_intervals, meanline, showmeans, showcaps, showbox, showfliers, boxprops, labels, flierprops, medianprops, meanprops, capprops, whiskerprops, manage_xticks, autorange)
3172 bootstrap = rcParams['boxplot.bootstrap']
3173 bxpstats = cbook.boxplot_stats(x, whis=whis, bootstrap=bootstrap,
-> 3174 labels=labels, autorange=autorange)
3175 if notch is None:
3176 notch = rcParams['boxplot.notch']
C:\Program Files\Anaconda3\lib\site-packages\matplotlib\cbook.py in boxplot_stats(X, whis, bootstrap, labels, autorange)
2036
2037 # arithmetic mean
-> 2038 stats['mean'] = np.mean(x)
2039
2040 # medians and quartiles
C:\Program Files\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py in mean(a, axis, dtype, out, keepdims)
2883
2884 return _methods._mean(a, axis=axis, dtype=dtype,
-> 2885 out=out, keepdims=keepdims)
2886
2887
C:\Program Files\Anaconda3\lib\site-packages\numpy\core\_methods.py in _mean(a, axis, dtype, out, keepdims)
70 ret = ret.dtype.type(ret / rcount)
71 else:
---> 72 ret = ret / rcount
73
74 return ret
TypeError: unsupported operand type(s) for /: 'str' and 'int'
答案 0 :(得分:9)
对于seaborn的箱形图,在水平和垂直对齐之间切换时,务必注意x轴和y轴的分配:
%matplotlib inline
import pandas as pd
import seaborn as sns
df = pd.DataFrame({'a' : ['a', 'b' , 'b', 'a'], 'b' : [5, 6, 4, 3] })
# horizontal boxplots
sns.boxplot(x="b", y="a", data=df, orient='h')
# vertical boxplots
sns.boxplot(x="a", y="b", data=df, orient='v')
混合列将导致seaborn尝试计算分类数据上的框的汇总统计信息,这些信息必然会失败。