我喜欢按组进行小计,这样就不会影响到总分
代码是
import pandas as pd
import numpy as np
dict_data = [{'duration': 0.7, 'project_id': 3, 'resource': u'Arya Stark', 'activity': u'Development'},
{'duration': 0.9, 'project_id': 4, 'resource': u'Ned Stark', 'activity': u'Development'},
{'duration': 2.88, 'project_id': 7, 'resource': u'Robb Stark', 'activity': u'Development'},
{'duration': 0.22, 'project_id': 9, 'resource': u'Jon Snow', 'activity': u'Support'},
{'duration': 0.3, 'project_id': 9, 'resource': u'Jon Snow', 'activity': u'Support'},
{'duration': 2.15, 'project_id': 3, 'resource': u'Arya Stark', 'activity': u'Practise'},
{'duration': 3.35, 'project_id': 4, 'resource': u'Sansa Stark', 'activity': u'Development'},
{'duration': 2.17, 'project_id': 9, 'resource': u'Rickon Stark', 'activity': u'Development'},
{'duration': 1.03, 'project_id': 4, 'resource': u'Benjan Stark', 'activity': u'Design'},
{'duration': 1.77, 'project_id': 4, 'resource': u'Bran Stark', 'activity': u'Testing'},
{'duration': 1.17, 'project_id': 4, 'resource': u'Ned Stark', 'activity': u'Development'},
{'duration': 0.17, 'project_id': 9, 'resource': u'Jon Snow', 'activity': u'Support'},
{'duration': 1.77, 'project_id': 3, 'resource': u'catelyn stark', 'activity': u'Development'},
{'duration': 0.3, 'project_id': 9, 'resource': u'Jon Snow', 'activity': u'Support'},
{'duration': 0.45, 'project_id': 9, 'resource': u'Jon Snow', 'activity': u'Support'}]
df = pd.DataFrame(dict_data)
pvt = pd.pivot_table(df, values=['duration'],index=['project_id','resource'], columns=['activity'], aggfunc=np.sum,margins=True, fill_value=0)
因此,我期望输出如下所示:
问题是我无法将小计行追加到表
通过^{} 重塑以创建新的最后一行} 、^{} 和{a4}。列已排序,因此按子集将
subtotal
,但需要过滤掉所有All
列。然后是^{All
列移到最后一个位置:相关问题 更多 >
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