在matplotlib中的条形图上方显示百分比 [英] Display percentage above bar chart in matplotlib

问题描述

以下是熊猫数据框和从中生成的条形图:

The following are the pandas dataframe and the bar chart generated from it:

colors_list = ['#5cb85c','#5bc0de','#d9534f']
result.plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)
plt.legend(labels=result.columns,fontsize= 14)
plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)

plt.xticks(fontsize=14)
for spine in plt.gca().spines.values():
    spine.set_visible(False)
plt.yticks([])

我需要在相应栏上方显示相应主题的每个兴趣类别的百分比.我可以创建带有百分比的列表，但是我不知道如何将其添加到相应栏的顶部.

I need to display the percentages of each interest category for the respective subject above their corresponding bar. I can create a list with the percentages, but I don't understand how to add it on top of the corresponding bar.

推荐答案

尝试这种方式:

colors_list = ['#5cb85c','#5bc0de','#d9534f']

# Change this line to plot percentages instead of absolute values
ax = (result.div(result.sum(1), axis=0)).plot(kind='bar',figsize=(15,4),width = 0.8,color = colors_list,edgecolor=None)
plt.legend(labels=result.columns,fontsize= 14)
plt.title("Percentage of Respondents' Interest in Data Science Areas",fontsize= 16)

plt.xticks(fontsize=14)
for spine in plt.gca().spines.values():
    spine.set_visible(False)
plt.yticks([])

# Add this loop to add the annotations
for p in ax.patches:
    width, height = p.get_width(), p.get_height()
    x, y = p.get_xy() 
    ax.annotate('{:.0%}'.format(height), (x, y + height + 0.01))

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