如何在 matplotlib 条形图中的条形上方显示 Y 值？

Question

我正在从 dataframe 生成条形图，我想删除 Y 轴标签并将它们显示在条形上方。 我怎样才能做到这一点？
到目前为止，这是我的代码：

ax = rounded_df.plot(kind='bar',
                     figsize=(20, 8),
                     width=0.8,
                     color=['#5cb85c', '#5bc0de', '#d9534f']
                     )
plt.xticks(fontsize=14)
plt.yticks(fontsize=14)
plt.legend(fontsize=14)
plt.title('Percentage of Respodents\' Interest in Data Science Areas', fontsize=16)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['left'].set_visible(False)

这是我的图表：图表

这是数据：

                            Very_interested Somewhat_interested Not_interested
Data_Analysis/Statistics    72.95           21.36               3.31
Machine_Learning            75.59           19.88               2.69
Data_Visualization          60.01           32.87               4.57
Big_Data_(Spark/Hadoop)     59.65           32.65               5.69
Deep_Learning               56.56           34.48               6.09
Data_Journalism             19.21           48.41               27.32

Answer 1

使用ax.patches你可以实现它。

这将做：

for p in ax.patches:
        ax.annotate(str(round(p.get_height(),2)), (p.get_x() * 1.005, p.get_height() * 1.005),color='green')

尝试：

样本数据：

    1q1         1q2         1q3         1q4
Cust / Month                
AA  62264.65    103189.45   94989.70    86212.37
AB  3330.47     0.00        0.00        0.00
AC  36580.00    36113.10    37527.84    32241.18
AD  36803.13    0.00        0.00        0.00
AE  44200.66    0.00        0.00        0.00
AF  12971.52    13697.76    13257.60    11931.84

示例代码：

customer_count = [38.00, 30.00, 30.00, 20.00]

ax = res.T.plot(width=0.8, kind='bar',y=['Quarter Total'],figsize=(10,5))
for rect, value in zip(ax.patches, customer_count):
    if value != 0:
        h = rect.get_height() /2.
        w = rect.get_width() /2.
        x, y = rect.get_xy()
        ax.text(x+w, y+h,value, horizontalalignment='center', verticalalignment='center', color='white',rotation=0)

for p in ax.patches:
    ax.annotate(str(round(p.get_height(),2)), (p.get_x() * 1.005, p.get_height() * 1.005),color='green')
    
plt.title('expediture data Quarter Wise')

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东风：

    a   b   c   d
a1  66  92  98  17
a2  83  57  86  97
a3  96  47  73  32

---

ax = df.T.plot(width=0.8, kind='bar',y=df.columns,figsize=(10,5))
for p in ax.patches:
    ax.annotate(str(round(p.get_height(),2)), (p.get_x() * 1.005, p.get_height() * 1.005),color='green')
  
ax.axes.get_yaxis().set_ticks([])

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