[英]How to create grouped barplot from dataframe grouped by two columns with intervals
I grouped the data by two columns ( 'a'
and 'b'
). 我将数据分为两列(
'a'
和'b'
)。 And for each column, I cut it into bins. 对于每一列,我将其切成垃圾箱。 For each crossed bin, I would like to have the sum of
'c'
. 对于每个交叉的垃圾箱,我希望得到
'c'
的总和。 Then I want to create a grouped plot for the sum of 'c'
. 然后,我想为
'c'
的总和创建一个分组图。 However, when I use .plot(kind='bar')
after the grouped data, the bars were not grouped together. 但是,当我在分组数据之后使用
.plot(kind='bar')
,这些条未分组在一起。
grouped = df.groupby([pd.cut(df['a'], [0, 1, 2, 3]), pd.cut(df['b'], [0, 101, 300, 500])])
grouped = grouped.c.sum()
grouped.plot(kind='bar')
I would like the graph to be grouped by 'a'
with different color standing for 'b'
. 我希望图形按
'a'
分组,用不同的颜色代表'b'
。 I have tried .unstack().plot(kind='bar')
; 我已经尝试过
.unstack().plot(kind='bar')
; however, it returns an error: 但是,它返回一个错误:
cannot determine next label for type
无法确定类型的下一个标签
Given the following example data 给定以下示例数据
df = pd.DataFrame({'a': [8, 49, 81, 52, 22, 24, 32, 67, 24, 21, 78, 16, 86, 19, 4, 88, 4, 20, 20, 1],
'b': [2, 49, 49, 70, 31, 47, 98, 26, 55, 36, 17, 39, 56, 80, 52, 36, 42, 69, 73, 70],
'c': [22, 99, 31, 95, 16, 32, 81, 20, 58, 23, 53, 5, 0, 81, 8, 68, 16, 36, 35, 54]})
and your setup 和你的设置
grouped = df.groupby([pd.cut(df['a'], [16, 30, 67, 86]),
pd.cut(df['b'], [0, 26, 49, 100])])
grouped = grouped['c'].sum()
you have two options 你有两个选择
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