在Python的图形中不显示每个条的大小总数？

我对在图表中显示每个条上方的数字有一个问题

这是我的dafaframe，如下所示

ID  SEX count
6   Secret Identity Male Characters 1751
3   Public Identity Male Characters 1662
1   Public Identity Female Characters   765
4   Secret Identity Female Characters   625
2   Public Identity Genderless Characters   11
0   Identity Unknown    Male Characters 9
5   Secret Identity Genderless Characters   5

def show_values_on_bars(axs, h_v="v", space= 0.4):
    
    def _show_on_single_plot(ax):
        if h_v == "v":
            for p in ax.patches:
                _x = p.get_x() + p.get_width() / 2
                _y = p.get_y() + p.get_height()
                value = int(p.get_height())
                ax.text(_x, _y, value, ha="center", fontsize=18) 
        elif h_v == "h":
            for p in ax.patches:
                _x = p.get_x() + p.get_width()
                _y = p.get_y() + p.get_height() - float(space)                
                value = int(p.get_width())
                ax.text(_x, _y, value, ha="left", fontsize=18)

    if isinstance(axs, np.ndarray):
        for idx, ax in np.ndenumerate(axs):
            _show_on_single_plot(ax)
    else:
        _show_on_single_plot(axs)

graph_3 = sns.barplot(data = dc_df, 
            x = "ID" , 
            y = "count", ax=a[1,0], hue='SEX')

show_values_on_bars(graph_3, "v", 0.3)

下面是我的代码函数，如下所示

ID  SEX count
6   Secret Identity Male Characters 1751
3   Public Identity Male Characters 1662
1   Public Identity Female Characters   765
4   Secret Identity Female Characters   625
2   Public Identity Genderless Characters   11
0   Identity Unknown    Male Characters 9
5   Secret Identity Genderless Characters   5

def show_values_on_bars(axs, h_v="v", space= 0.4):
    
    def _show_on_single_plot(ax):
        if h_v == "v":
            for p in ax.patches:
                _x = p.get_x() + p.get_width() / 2
                _y = p.get_y() + p.get_height()
                value = int(p.get_height())
                ax.text(_x, _y, value, ha="center", fontsize=18) 
        elif h_v == "h":
            for p in ax.patches:
                _x = p.get_x() + p.get_width()
                _y = p.get_y() + p.get_height() - float(space)                
                value = int(p.get_width())
                ax.text(_x, _y, value, ha="left", fontsize=18)

    if isinstance(axs, np.ndarray):
        for idx, ax in np.ndenumerate(axs):
            _show_on_single_plot(ax)
    else:
        _show_on_single_plot(axs)

graph_3 = sns.barplot(data = dc_df, 
            x = "ID" , 
            y = "count", ax=a[1,0], hue='SEX')

show_values_on_bars(graph_3, "v", 0.3)

当我运行下面定义的代码段时，我得到一条错误消息，如下所示

ID  SEX count
6   Secret Identity Male Characters 1751
3   Public Identity Male Characters 1662
1   Public Identity Female Characters   765
4   Secret Identity Female Characters   625
2   Public Identity Genderless Characters   11
0   Identity Unknown    Male Characters 9
5   Secret Identity Genderless Characters   5

def show_values_on_bars(axs, h_v="v", space= 0.4):
    
    def _show_on_single_plot(ax):
        if h_v == "v":
            for p in ax.patches:
                _x = p.get_x() + p.get_width() / 2
                _y = p.get_y() + p.get_height()
                value = int(p.get_height())
                ax.text(_x, _y, value, ha="center", fontsize=18) 
        elif h_v == "h":
            for p in ax.patches:
                _x = p.get_x() + p.get_width()
                _y = p.get_y() + p.get_height() - float(space)                
                value = int(p.get_width())
                ax.text(_x, _y, value, ha="left", fontsize=18)

    if isinstance(axs, np.ndarray):
        for idx, ax in np.ndenumerate(axs):
            _show_on_single_plot(ax)
    else:
        _show_on_single_plot(axs)

graph_3 = sns.barplot(data = dc_df, 
            x = "ID" , 
            y = "count", ax=a[1,0], hue='SEX')

show_values_on_bars(graph_3, "v", 0.3)

错误：

value=int（p.get_height（））->value错误：无法将浮点NaN转换为整数

---

如何修复它？

请检查它，并为0赋值为

p。get_height（）

为NaN

将numpy导入为np
def在_条上显示_值（axs，h_v=“v”，空格=0.4）：
def_在单点图（ax）上显示：
如果h_v==“v”：
对于ax.patches中的p：
值=0
如果不是np.isnan（p.get_height（））：
值=int（p.获取高度（）
_x=p.get_x（）+p.get_width（）/2
_y=p。获取_y（）+值
ax.text（x，y，value，ha=“center”，fontsize=18）

多亏了你的帮助，我得到了一张图表，但我得到了一些红色警告

posx和posy应该是有限值

。如何删除它们？@TonyBrand检查我的更新。如果不是np.isnan（p.get_height（））：，你可以将整个块放到

中，直到
ax.text（）
，有效地跳过了具有NaN高度或宽度的补丁。@Ynjxsjmh如果你有任何想法，你可以看看我的另一个问题吗？以下是链接：