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以鍵值格式顯示csv內容並存儲在數據庫中

2010-06-02 16 views
3

我已經使用以下代碼從csv文件中檢索內容。以鍵值格式顯示csv內容並存儲在數據庫中

<?php 
$fo = fopen("records.csv", "r+"); 
while(!feof($fo)) { 
     $contents[] = fgetcsv($fo,0,','); 
} 
print_r($contents); 
fclose($fo); 

?>

它返回我以下：

Array ([0] => Array ([0] => Search Transactions Results) [1] => Array ([0] => Transaction ID [1] => Reference Transaction ID [2] => Date [3] => Type [4] => Subject [5] => Item Number [6] => Item Name [7] => Invoice ID [8] => Name [9] => Email [10] => Shipping Name [11] => Shipping Address Line 1 [12] => Shipping Address Line 2 [13] => Shipping Address City [14] => Shipping State/Province [15] => Shipping Zip/Postal Code [16] => Shipping Address Country [17] => Shipping Method [18] => Address Status [19] => Contact Phone Number [20] => Gross Amount [21] => Receipt ID [22] => Custom Field [23] => Option 1 Name [24] => Option 1 Value [25] => Option 2 Name [26] => Option 2 Value [27] => Note [28] => Auction Site [29] => Auction User ID [30] => Item URL [31] => Auction Closing Date [32] => Insurance Amount [33] => Currency [34] => Fees [35] => Net Amount [36] => Shipping & Handling Amount [37] => Sales Tax Amount [38] => To Email [39] => Time [40] => Time Zone) [2] => Array ([0] => 1T [1] => [2] => 5/5/2010 2:10:44 PM [3] => Payment Processed [4] => CFP Self Study Kit [5] => 1 [6] => CFP Self Study Kit [7] => [8] => User1 [9] => [email protected] [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => 68.18 [21] => R1 [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => USD [34] => -2.62 [35] => 65.56 [36] => 0 [37] => 0 [38] => [email protected] [39] => 01:40 [40] => Asia/Calcutta) [3] => Array ([0] => 2T [1] => [2] => 5/19/2010 4:04:08 PM [3] => Payment Processed [4] => CFP Self Study Kit [5] => 1 [6] => CFP Self Study Kit [7] => [8] => User2 [9] => [email protected] [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => 68.18 [21] => R2 [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => USD [34] => -2.62 [35] => 65.56 [36] => 0 [37] => 0 [38] => [email protected] [39] => 03:34 [40] => Asia/Calcutta) [4] => Array ([0] => 3T [1] => 1RT [2] => 5/19/2010 5:28:45 PM [3] => Currency Conversion Completed [4] => [5] => [6] => [7] => [8] => [9] => [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => 17492.6 [21] => [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => INR [34] => 0 [35] => 17492.6 [36] => 0 [37] => 0 [38] => [39] => 04:58 [40] => Asia/Calcutta) [5] => Array ([0] => 4T [1] => 2RT [2] => 5/19/2010 5:28:45 PM [3] => Currency Conversion Completed [4] => [5] => [6] => [7] => [8] => [9] => [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => -393.36 [21] => [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => USD [34] => 0 [35] => -393.36 [36] => 0 [37] => 0 [38] => [39] => 04:58 [40] => Asia/Calcutta) [6] => Array ([0] => 5T [1] => [2] => 5/19/2010 5:28:45 PM [3] => Transfer to Bank Initiated [4] => P1006 [5] => [6] => P1006 [7] => [8] => [9] => [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => -17492.6 [21] => [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => INR [34] => 0 [35] => -17492.6 [36] => 0 [37] => 0 [38] => [39] => 04:58 [40] => Asia/Calcutta) [7] => Array ([0] => 6T [1] => [2] => 5/20/2010 5:38:02 PM [3] => Transfer to Bank Completed [4] => P1006 [5] => [6] => P1006 [7] => [8] => [9] => [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => -17492.6 [21] => [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => INR [34] => 0 [35] => -17492.6 [36] => 0 [37] => 0 [38] => [39] => 05:08 [40] => Asia/Calcutta) [8] => Array ([0] => 7T [1] => [2] => 5/21/2010 12:32:37 PM [3] => Payment Processed [4] => FP - LVC Plus [5] => [6] => FP - LVC Plus [7] => [8] => User3 [9] => [email protected] [10] => User3 [11] => NEW DELHI [12] => BEHIND KARNATAKA BANK LD [13] => SOUTH [14] => NEW DELHI [15] => 110023 [16] => IN [17] => [18] => N [19] => [20] => 283.96 [21] => [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => USD [34] => -9.95 [35] => 274.01 [36] => 0 [37] => 0 [38] => [email protected] [39] => 00:02 [40] => Asia/Calcutta) [9] => Array ([0] => 8T [1] => [2] => 5/25/2010 4:40:48 PM [3] => Transfer to Bank Initiated [4] => P1006 [5] => [6] => P1006 [7] => [8] => [9] => [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => -12569.85 [21] => [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => INR [34] => 0 [35] => -12569.85 [36] => 0 [37] => 0 [38] => [39] => 04:10 [40] => Asia/Calcutta) [10] => Array ([0] => 9T [1] => 3RT [2] => 5/25/2010 4:40:48 PM [3] => Currency Conversion Completed [4] => [5] => [6] => [7] => [8] => [9] => [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => -274.01 [21] => [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => USD [34] => 0 [35] => -274.01 [36] => 0 [37] => 0 [38] => [39] => 04:10 [40] => Asia/Calcutta) [11] => Array ([0] => 10T [1] => 4RT [2] => 5/25/2010 4:40:48 PM [3] => Currency Conversion Completed [4] => [5] => [6] => [7] => [8] => [9] => [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => 12569.85 [21] => [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => INR [34] => 0 [35] => 12569.85 [36] => 0 [37] => 0 [38] => [39] => 04:10 [40] => Asia/Calcutta) [12] => Array ([0] => 11T [1] => [2] => 5/26/2010 4:57:39 PM [3] => Transfer to Bank Completed [4] => P1006 [5] => [6] => P1006 [7] => [8] => [9] => [10] => [11] => [12] => [13] => [14] => [15] => [16] => [17] => [18] => N [19] => [20] => -12569.85 [21] => [22] => [23] => [24] => [25] => [26] => [27] => [28] => [29] => [30] => [31] => [32] => [33] => INR [34] => 0 [35] => -12569.85 [36] => 0 [37] => 0 [38] => [39] => 04:27 [40] => Asia/Calcutta) [13] => Array ([0] => Total [1] => -247.05 USD [2] => -15.19 [3] => -262.24) [14] => Array ([0] => Total [1] => 0.00 INR [2] => 0.00 [3] => 0.00) [15] =>)

但問題是，我想它在例如下面的鍵值格式

交易ID => 1T其中交易ID是標題，1T是值&，我必須存儲在數據庫中的值。還有一件事我必須只檢索那些類型是付款處理的記錄，如下所示從CSV文件：

我的csv文件：

"Search Transactions Results" 
"Transaction ID","Reference Transaction ID","Date","Type","Subject","Item Number","Item Name","Invoice ID","Name","Email","Shipping Name","Shipping Address Line 1","Shipping Address Line 2","Shipping Address City","Shipping State/Province","Shipping Zip/Postal Code","Shipping Address Country","Shipping Method","Address Status","Contact Phone Number","Gross Amount","Receipt ID","Custom Field","Option 1 Name","Option 1 Value","Option 2 Name","Option 2 Value","Note","Auction Site","Auction User ID","Item URL","Auction Closing Date","Insurance Amount","Currency","Fees","Net Amount","Shipping & Handling Amount","Sales Tax Amount","To Email","Time","Time Zone" 
"1T","",5/5/2010 2:10:44 PM,"Payment Processed","CFP Self Study Kit","1","CFP Self Study Kit","","User1","[email protected]","","","","","","","","","N","","68.18","R1","","","","","","","","","",,"","USD","-2.62","65.56","0","0","[email protected]","01:40","Asia/Calcutta" 
"2T","",5/19/2010 4:04:08 PM,"Payment Processed","CFP Self Study Kit","1","CFP Self Study Kit","","User2","[email protected]","","","","","","","","","N","","68.18","R2","","","","","","","","","",,"","USD","-2.62","65.56","0","0","[email protected]","03:34","Asia/Calcutta" 
"3T","1RT",5/19/2010 5:28:45 PM,"Currency Conversion Completed","","","",""," ","","","","","","","","","","N","","17492.6","","","","","","","","","","",,"","INR","0","17492.6","0","0","","04:58","Asia/Calcutta" 
"4T","2RT",5/19/2010 5:28:45 PM,"Currency Conversion Completed","","","",""," ","","","","","","","","","","N","","-393.36","","","","","","","","","","",,"","USD","0","-393.36","0","0","","04:58","Asia/Calcutta" 
"5T","",5/19/2010 5:28:45 PM,"Transfer to Bank Initiated","P1006","","P1006",""," ","","","","","","","","","","N","","-17492.6","","","","","","","","","","",,"","INR","0","-17492.6","0","0","","04:58","Asia/Calcutta" 
"6T","",5/20/2010 5:38:02 PM,"Transfer to Bank Completed","P1006","","P1006",""," ","","","","","","","","","","N","","-17492.6","","","","","","","","","","",,"","INR","0","-17492.6","0","0","","05:08","Asia/Calcutta" 
"7T","",5/21/2010 12:32:37 PM,"Payment Processed","FP - LVC Plus","","FP - LVC Plus","","User3","[email protected]","User3","NEW DELHI","BEHIND KARNATAKA BANK LD","SOUTH","NEW DELHI","110023","IN","","N","","283.96","","","","","","","","","","",,"","USD","-9.95","274.01","0","0","[email protected]","00:02","Asia/Calcutta" 
"8T","",5/25/2010 4:40:48 PM,"Transfer to Bank Initiated","P1006","","P1006",""," ","","","","","","","","","","N","","-12569.85","","","","","","","","","","",,"","INR","0","-12569.85","0","0","","04:10","Asia/Calcutta" 
"9T","3RT",5/25/2010 4:40:48 PM,"Currency Conversion Completed","","","",""," ","","","","","","","","","","N","","-274.01","","","","","","","","","","",,"","USD","0","-274.01","0","0","","04:10","Asia/Calcutta" 
"10T","4RT",5/25/2010 4:40:48 PM,"Currency Conversion Completed","","","",""," ","","","","","","","","","","N","","12569.85","","","","","","","","","","",,"","INR","0","12569.85","0","0","","04:10","Asia/Calcutta" 
"11T","",5/26/2010 4:57:39 PM,"Transfer to Bank Completed","P1006","","P1006",""," ","","","","","","","","","","N","","-12569.85","","","","","","","","","","",,"","INR","0","-12569.85","0","0","","04:27","Asia/Calcutta" 
"Total","-247.05 USD","-15.19","-262.24" 
"Total","0.00 INR","0.00","0.00"

我完全卡住如何完成this.Please幫我在這

感謝

來源

2010-06-02 Pankaj Khurana

回答

1

您可以使用array_map和array_combine把所有輸入到一個不錯的關聯數組：

$headers = $contents[1]; 
function mapper($arr) { global $headers; return array_combine($headers, $arr); } 
$contents = array_map('mapper', array_slice($contents, 2, -3));

它使用數組作爲密鑰的第二個條目（列標題，因爲它是）。它還會敲掉前兩行（兩個標題行）和最後三行（最後兩行總行和空元素）。

然後，您可以通過遍歷數組或使用array_filter按類型進行過濾。

或者，如果你使用PHP> = 5.3，你可以做映射函數作爲封閉相反，這是一個有點漂亮：

$headers = $contents[1]; 
$contents = array_map(function ($arr) use ($headers) { 
    return array_combine($headers, $arr); 
}, array_slice($contents, 2, -3));

來源

2010-06-02 10:07:17 Chris

+0

感謝回答我是新手，只要陣列關注你能告訴我如何在上面的代碼中使用array_filter嗎？我對第二個參數感到困惑，例如回調函數 – 2010-06-02 10:16:24

+1

在上面的例子中，它與'array_map'的第一個參數非常相似 - 您可以傳遞一個函數名稱，或者在5.3中定義一個內聯/匿名函數。然後，如果要包含該項目，則函數返回true（例如，'return $ arg ['Type'] =='Payment Processed''）。 – Chris 2010-06-02 10:30:56

+0

我已添加此回調函數 function filterdata（$ arg） { return $ arg ['Type'] =='Payment Processed'; } $ filtercontent =（array_filter（$ contents，'filterdata'））; foreach（$ filtercontent as $ content） { echo $ content ['Name']; } 現在它只顯示其類型爲付款處理名稱的數據。 謝謝克里斯提供寶貴的建議和幫助 – 2010-06-02 10:44:14

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