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

讓客戶滿意是我們工作的目標(biāo)，不斷超越客戶的期望值來(lái)自于我們對(duì)這個(gè)行業(yè)的熱愛(ài)。我們立志把好的技術(shù)通過(guò)有效、簡(jiǎn)單的方式提供給客戶，將通過(guò)不懈努力成為客戶在信息化領(lǐng)域值得信任、有價(jià)值的長(zhǎng)期合作伙伴，公司提供的服務(wù)項(xiàng)目有：域名注冊(cè)、網(wǎng)絡(luò)空間、營(yíng)銷軟件、網(wǎng)站建設(shè)、江蘇網(wǎng)站維護(hù)、網(wǎng)站推廣。

## 構(gòu)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)
## 聚類計(jì)數(shù)
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
## 按照特定順序輸出
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

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