Python Seaborn 绘图值错误

Python Seaborn Plot ValueError

我有一个 pandas 数据框 df 并且正在尝试使用 seaborn 库创建一个小提琴图。

    rank  sentiment category
0     1   0.657413        m
1     2   0.895769        m
2     3  -0.435457        m
3     4  -0.717959        m
4     5   0.869688        m

这是seaborn线:

sns.violinplot(x="rank", y="senitment", hue="category", data=df)

我一直收到这个 ValueError

ValueError: Could not interpret input 'senitment'

完整追溯

/Users/jrs/anaconda/lib/python3.5/site-packages/seaborn/categorical.py in violinplot(x, y, hue, data, order, hue_order, bw, cut, scale, scale_hue , gridsize, width, inner, split, orient, linewidth, color, palette, saturation, ax, **kwargs) 2299 bw, 剪切, 缩放, scale_hue, gridsize, 2300 宽度,内部,拆分,方向,线宽, -> 2301 颜色、调色板、饱和度) 2302 2303 如果 ax 是 None:

/Users/jrs/anaconda/lib/python3.5/site-packages/seaborn/categorical.py in __init__(self, x, y, hue, data, order, hue_order, bw, cut, scale, scale_hue, gridsize, width, inner, split, orient, linewidth, color, palette, saturation)
    535                  color, palette, saturation):
    536 
--> 537         self.establish_variables(x, y, hue, data, orient, order, hue_order)
    538         self.establish_colors(color, palette, saturation)
    539         self.estimate_densities(bw, cut, scale, scale_hue, gridsize)

/Users/jrs/anaconda/lib/python3.5/site-packages/seaborn/categorical.py in establish_variables(self, x, y, hue, data, orient, order, hue_order, units)
    145                 if isinstance(input, string_types):
    146                     err = "Could not interpret input '{}'".format(input)
--> 147                     raise ValueError(err)
    148 
    149             # Figure out the plotting orientation

ValueError: Could not interpret input 'senitment'

我试过在 df 上使用 .reset_index() 并更改数据类型,但没有成功。想法?

sns.violinplot(x="rank", y="sentiment", hue="category", data=df)