pandas 按照特定顺序输出的实现代码

df.groupby() 之后按照特定顺序输出，方便后续作图，或者跟其他df对比作图。

## 构造 pd.DataFrame
patient_id = ['71835318256532',
'87791375711',
'66979212649388',
'46569922967175',
'998612492555522',
'982293214194',
'89981833848',
'17912315786975',
'4683495482494',
'1484143378533',
'56866972273357',
'7796319285658',
'414462476158336',
'449519578512573',
'61826664459895']
week = ['tuesday',
'tuesday',
'wednesday',
'monday',
'tuesday',
'monday',
'friday',
'tuesday',
'monday',
'friday',
'saturday',
'thursday',
'wednesday',
'thursday',
'wednesday']
d = {'patient_id': patient_id, 'week':week}
test = pd.DataFrame(data=d)
## 聚类计数
test.groupby('week')['patient_id'].count()
## output
week
friday  2
monday  3
saturday  1
thursday  2
tuesday  4
wednesday 3
Name: patient_id, dtype: int64
## 按照特定顺序输出
ind = ['monday','tuesday','wednesday','thursday','friday','saturday']
test.groupby('week')['patient_id'].count()[ind]
## output
week
monday  3
tuesday  4
wednesday 3
thursday  2
friday  2
saturday  1
Name: patient_id, dtype: int64

作图效果如下

test.groupby('week')['patient_id'].count().plot(kind='bar');

ind = ['monday','tuesday','wednesday','thursday','friday','saturday']
test.groupby('week')['patient_id'].count()[ind].plot(kind='bar');

总结

以上所述是小编给大家介绍的pandas 按照特定顺序输出的实现代码网站的支持！

来源：https://blog.csdn.net/Guo_ya_nan/article/details/80989067