python - 使用 seaborn 为数据框绘制直方图

Question

我有一个包含多列和多行的数据框。许多行没有列值，因此在数据框中它表示为 NaN。示例dataFrame如下，

df.head()
GEN Sample_1    Sample_2    Sample_3    Sample_4    Sample_5    Sample_6    Sample_7    Sample_8    Sample_9    Sample_10   Sample_11   Sample_12   Sample_13   Sample_14
A123    9.4697  3.19689 4.8946  8.54594 13.2568 4.93848 3.16809 NAN NAN NAN NAN NAN NAN NAN
A124    6.02592 4.0663  3.9218  2.66058 4.38232         NAN NAN NAN NAN NAN NAN NAN
A125    7.88999 2.51576 4.97483 5.8901  21.1346 5.06414 15.3094 2.68169 8.12449 NAN NAN NAN NAN NAN
A126    5.99825 10.2186 15.2986 7.53729 4.34196 8.75048 16.9358 5.52708 NAN NAN NAN NAN NAN NAN
A127    28.5014 4.86702 NAN NAN NAN NAN NAN NAN NAN NAN NAN NAN NAN NAN

我想使用 python 中的 seaborn 函数为这个 dataFrame 绘制直方图，所以我尝试了以下几行，

sns.set(color_codes=True)
sns.set(style="white", palette="muted")
sns.distplot(df)

但它抛出以下错误，

    ValueError                                Traceback (most recent call last)
    <ipython-input-80-896d7fe85ef3> in <module>()
          1 sns.set(color_codes=True)
          2 sns.set(style="white", palette="muted")
    ----> 3 sns.distplot(df)

    /anaconda3/lib/python3.4/site-packages/seaborn/distributions.py in distplot(a, bins, hist, kde, rug, fit, hist_kws, kde_kws, rug_kws, fit_kws, color, vertical, norm_hist, axlabel, label, ax)
        210         hist_color = hist_kws.pop("color", color)
        211         ax.hist(a, bins, orientation=orientation,
    --> 212                 color=hist_color, **hist_kws)
        213         if hist_color != color:
        214             hist_kws["color"] = hist_color

   /anaconda3/lib/python3.4/site-packages/matplotlib/axes/_axes.py in hist(self, x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)
       5627             color = mcolors.colorConverter.to_rgba_array(color)
       5628             if len(color) != nx:
    -> 5629                 raise ValueError("color kwarg must have one color per dataset")
       5630 
       5631         # We need to do to 'weights' what was done to 'x'

    ValueError: color kwarg must have one color per dataset

任何消除此错误的帮助/建议将不胜感激..!!!

Answer 1

我也想到了 seaborn documentation提到可以同时绘制多列，并默认用颜色突出显示。

但是重读之后，我什么也没看到。相反，我想我是从 this tutorial 推断出来的，在教程的一部分，教程绘制了一个包含多列的数据框。

---

但是，“解决方案”是微不足道的，希望正是您要找的:

sns.set(color_codes=True)
sns.set(style="white", palette="muted")
sns.distplot(df)

for col_id in df.columns:
    sns.distplot(df[col_id])

默认情况下，这将改变颜色，“知道”已经使用了哪一个。

注意:我使用了不同的数据集，因为我不确定如何重新创建您的数据集。