我有一个数据框df，我想将其按列Letter和From进行分组。以下示例df：
Letter Price From RT To
0 A 4 2020-06-04 11 2020-06-05
1 B 12 2020-06-04 11 2020-06-05
2 A 20 2020-06-04 11 2020-06-05
3 A 5 2020-06-04 11 2020-06-05
4 B 89 2020-06-05 11 2020-06-06
5 A 56 2020-06-05 11 2020-06-06
6 B 1 2020-06-06 11 2020-06-07
在标准SQL中，我将编写一个查询以获取所需的结果。
SELECT
Letter,
From,
SUM(Price),
MAX(RT)
FROM
some.table
GROUP BY Letter,From
我尝试了以下操作，但没有用。
df.groupby(['Letter','From']).sum(['RT','To'])
答案 0 :(得分：0)
尝试一下：
df['From'] = pd.to_datetime(df['From'])
df['To'] = pd.to_datetime(df['To'])
df = df.groupby(by=['Letter', 'From'], as_index=False).agg({
'Price': 'sum',
'RT': 'max'
})
print(df)
Letter From Price RT
0 A 2020-06-04 29 11
1 A 2020-06-05 56 11
2 B 2020-06-04 12 11
3 B 2020-06-05 89 11
4 B 2020-06-06 1 11
答案 1 :(得分：0)
要聚合的列需要紧接<?php
session_start();
include 'connection.php';
if(isset($_SESSION['email'])){
$email = $_SESSION['email'];
$email_check = $con->prepare("SELECT * FROM `user_reg` WHERE email =?");
$email_check->bind_param("s",$email_i);
$email_i = $email;
$email_check->execute();
$result = mysqli_stmt_get_result($email_check);
$email_count = mysqli_num_rows($result);
$row = mysqli_fetch_assoc($result);
$token = bin2hex(random_bytes(25));
if ($email_count>0){
if($row['status']==="inactive"){
$insert_query = $con->prepare("UPDATE `user_reg` SET `token`=? WHERE `email`=?");
$insert_query->bind_param("ss", $token_i, $email_i);
$token_i = $token;
$email_i = $email;
$query = $insert_query->execute();
if ($query){
$username = $row['username'];
$url = "";
$subject = "Email verification";
include 'templates/email_con.php';
include 'templates/email_verifiy_tempate.php';
if (mail($email, $subject, $body, $headers)){
$_SESSION['msg']="Check your email for activation of your account";
echo "Email Sent...";
header('location:login.php');
}else{
echo "Email not sent, please check your email";
}
$insert_query->close();
}else{
echo "error";
}
}else{
$_SESSION['msg']="You are alredy verified, login to continue";
echo "verified";
}
}else{
echo "Email dosen't exists, please sign up";
}
}else {
header('location:login.php');
}之后才能用作切片器，就像切片标准df一样。有关可以传递给groupby的参数，请参见docs。但是实际上，您需要aggregate or agg才能将具有不同功能的每一列进行汇总。
sum