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[英]How to use groupby, select, count(*) and where commands of SQL together in Pandas
[英]sql how to select count of multiple rows where row = value
嗨,我正在制作一個 sql select 來計算多行值,其中 Domain == 'whatever'。
目前我做了 5 個單獨的選擇,這些選擇需要很長時間才能加載並且效率低下,我問我是否以及如何 select 在一個查詢中計算多行的計數,或者至少比我現在做的更有效。
我正在嘗試 select 行數:路由、瀏覽器、設備、位置和引薦來源網址,其中域等於“任何”
我希望 output 以如下格式包含上面列出的所有行:rowname: {count: 1}
這是表格:
CREATE TABLE IF NOT EXISTS hits (
ID INTEGER PRIMARY KEY AUTO_INCREMENT,
Domain TEXT NOT NULL,
Route TEXT NOT NULL,
Timestamp INTEGER NOT NULL,
Browser TEXT,
Location TEXT,
Device TEXT,
Referrer TEXT
)
這些是我目前的選擇:
routes = db.run('SELECT Route, COUNT(Route) AS count FROM hits WHERE Domain = %s AND Timestamp BETWEEN %s AND %s GROUP BY Route', (domain, d1, d2))
browsers = db.run('SELECT Browser, COUNT(Browser) AS count FROM hits WHERE Domain = %s AND Timestamp BETWEEN %s AND %s GROUP BY Browser', (domain, d1, d2))
locations = db.run('SELECT Location, COUNT(Location) AS count FROM hits WHERE Domain = %s AND Timestamp BETWEEN %s AND %s GROUP BY Location', (domain, d1, d2))
screens = db.run('SELECT Device, COUNT(Device) AS count FROM hits WHERE Domain = %s AND Timestamp BETWEEN %s AND %s GROUP BY Device', (domain, d1, d2))
referrals = db.run('SELECT Referrer, COUNT(Referrer) AS count FROM hits WHERE Domain = %s AND Timestamp BETWEEN %s AND %s GROUP BY Referrer', (domain, d1, d2))```
以下作品在SQL fiddle。 這個問題被標記為 mysql 和 python,所以如果您需要進一步的幫助,請進一步說明您使用的是什么引擎:
SELECT
COUNT(Route) AS route_count,
COUNT(Browser) AS browser_count,
COUNT(Location) AS location_count,
COUNT(Device) AS device_count,
COUNT(Referrer) AS referrer_count
FROM
hits
WHERE
Domain = 'whatever'
AND Timestamp BETWEEN '00:00' AND '12:00'
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