python - Seaborn 图不显示所有列值

Question

我有以下数据框：

my_df = pd.DataFrame(data={'Year': ['2017','2018','2019','2019','2019','2019','2020','2020'],
      'Threshold':[96, 91, 20.59, 47.37, 78.12, 10.00, 15.00 ,91],
      'Fee' : ["No","No", "20%", "20%", "5%", "20%", "20%", "No"]})

我正在使用 seaborn 来绘制它：

palette={"No": "g","20%": "y", "5%": "r"}

fig,ax = plt.subplots()
fig.set_size_inches(10,8)

sns.barplot(x="Year", y="Threshold",hue = 'Fee', palette = palette, data=my_df, ci=None)

for p in ax.patches: 
    ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2, p.get_height()),
                ha='center', va='center', fontsize=11, color='black', xytext=(0, 10), 
                textcoords='offset points',fontweight='bold')

但是，显示的图表返回每年阈值变量的平均值，我想在图表上显示所有 8 个数据帧阈值。

希伯恩情节

我该如何解决？

标签： pythonplotbar-chartseaborncolor-palette

Answer 1

试试这个：

my_df = pd.DataFrame(data={'Year': ['2017','2018','2019','2019','2019','2019','2020','2020'],
      'Threshold':[96, 91, 20.59, 47.37, 78.12, 10.00, 15.00 ,91],
      'Fee' : ["No","No", "20%", "20%", "5%", "20%", "20%", "No"]})

palette={"No": "g","20%": "y", "5%": "r"}

fig,ax = plt.subplots()
fig.set_size_inches(10,8)

g = sns.barplot(x=my_df.index, y="Threshold",hue = 'Fee', palette = palette, data=my_df, ci=None)
g.set(xticklabels=my_df['Year'])

for p in ax.patches: 
    ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2, p.get_height()),
                ha='center', va='center', fontsize=11, color='black', xytext=(0, 10), 
                textcoords='offset points',fontweight='bold')