python - Pandas : plot stacked barchart for row values

Question

我有下面的数据框，我想绘制“关闭”/“打开”状态的堆积条形图。

             state  requests
created                          
2016-09-28    OPEN              1
2017-02-03    OPEN              1 
2017-06-15  CLOSED              1
2017-06-15    OPEN              1
2017-06-16  CLOSED              2
2017-08-23    OPEN              1
2017-10-25    OPEN              1
2018-01-19    OPEN              1
2018-03-01    OPEN              1
2018-03-05    OPEN              1
2018-06-12    OPEN              1
2018-06-15    OPEN              1

我尝试过以下操作(df_temp是上述数据的数据框)

fig,ax = plt.subplots()
ax.set_ylabel('Requests')
df_closed = df_temp[df_temp['state'] == 'CLOSED']
df_open = df_temp[df_temp['state'] == 'OPEN']

b = ax.bar(x = df_open.index.get_level_values(0), height = df_open['requests'])
a = ax.bar(x = df_closed.index.get_level_values(0), height = df_closed['requests'],bottom = df_open['requests'])

但它给了我错误

ValueError: shape mismatch: objects cannot be broadcast to a single shape

Answer 1

既然你提到了pandas的pivot函数 - you can transform your dataset with it在堆叠条形图之前在一行中:

df_temp.pivot(columns = "state", values = "requests").plot(kind = "bar", stacked = True)

现在我们还可以美化图表 - 标记 y 轴，旋转 x 刻度标签:

plt.ylabel("Requests")
plt.xticks(rotation = 45, ha = "right")
plt.tight_layout()
plt.show()