df.groupby() 之后按照特定順序輸出，方便后續作圖，或者跟其他df對比作圖。

## 構造 pd.DataFramepatient_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)## 聚類計數test.groupby('week')['patient_id'].count()## outputweekfriday  2monday  3saturday  1thursday  2tuesday  4wednesday 3Name: patient_id, dtype: int64## 按照特定順序輸出ind = ['monday','tuesday','wednesday','thursday','friday','saturday']test.groupby('week')['patient_id'].count()[ind]## outputweekmonday  3tuesday  4wednesday 3thursday  2friday  2saturday  1Name: patient_id, dtype: int64

作圖效果如下

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');

總結

以上所述是小編給大家介紹的pandas 按照特定順序輸出的實現代碼，希望對大家有所幫助，如果大家有任何疑問請給我留言，小編會及時回復大家的。在此也非常感謝大家對武林站長站網站的支持！