pandas ，条形图注释 [英] Pandas, Bar Chart Annotations

问题描述

如何正确地为Pandas Bar Charts提供注释？

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其中s /他说，

我非常喜欢水平条形图，因为我真的认为他们更容易阅读，但我知道，很多人宁愿看到这个图表实现在一个常规的条形图，这里是代码，你会注意到，为了创建注释*

方案

看起来你的 autolabel 函数期待一个补丁那些条为补丁，我们可以这样做：

  df = pd .DataFrame（{'score'：np.random.randn（6），
'person'：[x * 3 for x in list（'ABCDEF'）]}）
 
 def autolabel（rects）：
 x_pos = [rect.get_x（）+ rect.get_width（）/ 2。 for rect in rects] 
 y_pos = [rect.get_y（）+ 1.05 * rect.get_height（）for rect in rects] 
 #if高度常量：hbars，vbars否则
 if .diff（[rectt.getp（item，'width'）for item in rects]）== 0）.all（）：
 scores = [plt.getp（item，'height'） ] 
 else：
 scores = [plt.getp（item，'width'）for item in rects] 
＃附加一些文本标签
用于rect，x，y，s in zip（rects，x_pos，y_pos，scores）：
 ax.text（x，
y，
'％s'％s，
 ha ='center'，va = 'bottom'）
 
 ax = df.set_index（['person']）。plot（kind ='barh'，figsize =（10,7），
 color = ['dodgerblue '，'slategray']，fontsize = 13）
 
 ax.set_alpha（0.8）
 ax.set_title（BarH）＃，fontsize = 18）
 autolabel .patches）
  

  ax = df.set_index（['person']）plot（kind ='bar'，figsize =（10,7），
 color = ['dodgerblue'，'slategray']，fontsize = 13）
 
 ax.set_alpha（0.8）
 ax.set_title（Bar）＃，fontsize = 18）
 autolabel（ax.patches）
  

How to properly give Annotations to Pandas Bar Charts?

I'm following Bar Chart Annotations with Pandas and MPL, but somehow I can't make it into my own code -- this is as far as I can go. What's wrong?

I've also found the following code from here:

def autolabel(rects):
    # attach some text labels
    for rect in rects:
        height = rect.get_height()
        ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
                '%d' % int(height),
                ha='center', va='bottom')

autolabel(rects1)
autolabel(rects2)

But I don't how to apply that to my code either. Please help.

UPDATE:

Thank you @CT Zhu, for the answer. However, in your horizontal bars, you are still placing the text on top of bars, but I need the text show up within or along them, like this from my referenced article,

where s/he says,

"I am very parital to horizontal bar charts, as I really think they are easier to read, however, I understand that a lot of people would rather see this chart implemented in a regular bar chart. So, here is the code to do that; you will notice that a few things have changed in order to create the annotation"*

解决方案

It appears your autolabel function is expecting a list of patches, sssuming your plot only those bars as its patches, we could do:

df = pd.DataFrame({'score':np.random.randn(6),
                   'person':[x*3 for x in list('ABCDEF')]})

def autolabel(rects):
    x_pos = [rect.get_x() + rect.get_width()/2. for rect in rects]
    y_pos = [rect.get_y() + 1.05*rect.get_height() for rect in rects]
    #if height constant: hbars, vbars otherwise
    if (np.diff([plt.getp(item, 'width') for item in rects])==0).all():
        scores = [plt.getp(item, 'height') for item in rects]
    else:
        scores = [plt.getp(item, 'width') for item in rects]
    # attach some text labels
    for rect, x, y, s in zip(rects, x_pos, y_pos, scores):
        ax.text(x, 
                y,
                '%s'%s,
                ha='center', va='bottom')

ax = df.set_index(['person']).plot(kind='barh', figsize=(10,7), 
              color=['dodgerblue', 'slategray'], fontsize=13)

ax.set_alpha(0.8)
ax.set_title("BarH")#,fontsize=18)
autolabel(ax.patches)

ax = df.set_index(['person']).plot(kind='bar', figsize=(10,7), 
              color=['dodgerblue', 'slategray'], fontsize=13)

ax.set_alpha(0.8)
ax.set_title("Bar")#,fontsize=18)
autolabel(ax.patches)

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