大熊猫:根据其他数据集中的匹配列插入列

时间:2020-09-10 19:53:34

标签: python pandas dataframe merge

我有两个熊猫数据框:

<?php  
    if(isset($_POST['g-recaptcha-response']) && !empty($_POST['g-recaptcha-response'])){
$secret = '6LfCisoZAAAAAEsmjA4Zi5tb73s32SV90mvHxLH1';
$verifyResponse = file_get_contents('https://www.google.com/recaptcha/api/siteverify?secret='.$secret.'&response='.$_POST['g-recaptcha-response']);
$responseData = json_decode($verifyResponse);
    if($responseData->success){
    // EDIT THE 2 LINES BELOW AS REQUIRED
    //$email_to = "contactus@example.com.test-google-a.com";
    $email_to = "contactus@example.com";
    //$email_to = "contactus@example.com";
    $email_subject = "XXX Contact Us Form";
    
    function died($error){
        // your error code can go here
        echo "We are very sorry, but there were error(s) found with the form you submitted. ";
        echo "These errors appear below.<br /><br />";
        echo $error."<br /><br />";
        echo "Please go back and fix these errors.<br /><br />";
        die();
    }
    else{
        $errMsg = 'Robot verification failed, please try again.'; 
    }


// validation expected data exists
if(!isset($_POST['name']) ||
    !isset($_POST['phone']) ||
    !isset($_POST['email']) ||
    !isset($_POST['message'])) {
    died('We are sorry, but there appears to be a problem with the form you submitted.');       
}

 

$name = $_POST['name']; // required
$email = $_POST['email']; // required
$phone = $_POST['phone']; // not required
$message = $_POST['message']; // required

$error_message = "";
$email_exp = '/^[A-Za-z0-9._%-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,4}$/';

if(!preg_match($email_exp,$email)) {
$error_message .= 'The Email Address you entered does not appear to be valid.<br />';
      }

    $string_exp = "/^[A-Za-z .'-]+$/";

    if(!preg_match($string_exp,$name)) {
$error_message .= 'The Name you entered does not appear to be valid.<br />';
      }



      if(strlen($message) < 2) {
$error_message .= 'The Message you entered do not appear to be valid.<br />';
      }

     if(strlen($error_message) > 0) {
died($error_message);
     }

$email_message ="Thank you for contacting Example.\n We will be in touch with you very soon.\n\n Below is a recap of the Form details as entered.\n\n";

 
function clean_string($string) {
  $bad = array("content-type","bcc:","to:","cc:","href");
  return str_replace($bad,"",$string);
}

 

$email_message .= "Name: ".clean_string($name)."\n";
$email_message .= "Email: ".clean_string($email)."\n";
$email_message .= "Phone: ".clean_string($phone)."\n";
$email_message .= "Message: ".clean_string($message)."\n";

    // create email headers
    $headers = "From: contactus@example.com \r\n";
    $headers .= "Cc: $email \r\n";
    $headers .= "BCC: contactus@example.com.test-google-a.com \r\n";
    'Reply-To: '.$email."\r\n";
    'X-Mailer: PHP/' . phpversion();
     @mail($email_to, $email_subject, $email_message, $headers);  
     ?>

我想将df1 ['foo']和df2 ['bar']列匹配的'newCol'列添加到df1。

必需的输出:

df1 = pd.DataFrame({'foo'=[1,2,3,4,5})
df2 = pd.DataFrame({'bar'=[1,3,5], 'newCol' =[a,b,c]})

0 个答案:

没有答案