[英]How to avoid displaying x-axis labels without any associated data in seaborn factorplot
To make the plot above, I do this: 为了进行以上绘制,我这样做:
import seaborn as sns
g = sns.factorplot('State', ' % Overall Match', hue='experiment', data=df_states, col='percentile', kind='box', col_wrap=2, sharex=False)
Is there a way to NOT display the x-axis labels that do not have nay associated data? 有没有办法不显示不包含相关数据的x轴标签?
-- EDIT: Data is available here: https://www.dropbox.com/s/pn7j95sjjb9n8t0/old_all.csv?dl=0 -编辑:数据在这里可用: https : //www.dropbox.com/s/pn7j95sjjb9n8t0/old_all.csv?dl=0
I think I would do this manually: 我想我会手动执行此操作:
fig, ax_array = plt.subplots(2,2)
axes = ax_array.flatten()
for ax, perc in zip(axes, df_states['percentile'].unique()):
sns.boxplot('State', ' % Overall Match', hue='experiment',
data=df_states[df_states['percentile'] == perc], ax=ax)
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