[英]Excel, VLOOKUP or INDEX MATCH with multiple criteria
我有一個電子表格,其數據格式如下:
我想創建一個vlookup或索引匹配項,在這里可以在2個不同的單元格中鍵入日期和類別(MIB,DAX,CAC等),它將提取正確的打開值。 即。 在相鄰的單元格中,我鍵入2016-03-08,然后輸入CAC,它應返回4405.1602。
由於數據的格式化方式(我無法采用其他任何方式格式化,它是從第三方來源實時生成的),因此創建此項目時遇到了麻煩,並且因為日期並不總是對齊。
我嘗試為每個類別創建單獨的VLOOKUP,對於MIB使用B3:C13,對於DAX創建D3:E13,但這非常耗時,因為實際的電子表格比我在此處給出的示例要遠得多,並且包含的數據更多,因此我希望有一個公式可以避免這種情況。
$FTSEMIB-MIL $DAX-XET $PX1-EEB $UKX-FTSE
Date Open Last Date Open Last Date Open Last Date Open Last
2016-03-18 18704.369 18611.34 2016-03-18 9905.6699 9950.8 2016-03-18 4452.04 4462.51 2016-03-18 6201.1201 6189.64
2016-03-17 18921.43 18608.029 2016-03-17 10051.69 9892.2002 2016-03-17 4501.6802 4442.8901 2016-03-17 6175.4902 6201.1201
2016-03-16 18820.789 18731.75 2016-03-16 9971.04 9983.4102 2016-03-16 4486.7002 4463 2016-03-16 6139.9702 6175.4902
2016-03-15 18891.721 18765.369 2016-03-15 9941.46 9933.8496 2016-03-15 4474.2598 4472.6299 2016-03-15 6174.5698 6139.9702
2016-03-14 19125.109 18981.77 2016-03-14 9948.21 9990.2598 2016-03-14 4501.8101 4506.5898 2016-03-14 6139.79 6174.5698
2016-03-11 18488.82 18987.75 2016-03-11 9672.0498 9831.1299 2016-03-11 4430.2402 4492.79 2016-03-11 6036.7002 6139.79
2016-03-10 18229.24 18118.23 2016-03-10 9697.6396 9498.1504 2016-03-10 4432.5601 4350.3501 2016-03-10 6146.3198 6036.7002
2016-03-09 17982.369 18208.92 2016-03-09 9700.1602 9723.0898 2016-03-09 4405.9502 4425.6499 2016-03-09 6125.4399 6146.3198
2016-03-08 17906.02 18017.561 2016-03-08 9688.4697 9692.8203 2016-03-08 4405.1602 4404.02 2016-03-08 6182.3999 6125.4399
2016-03-07 18195.6 18059.27 2016-03-07 9764.0801 9778.9297 2016-03-07 4436.3701 4442.29 2016-03-07 6199.4302 6182.3999
2016-03-04 18415.359 18278.98 2016-03-04 9800.8604 9824.1699 2016-03-04 4437.8198 4456.6201 2016-03-04 6130.46 6199.4302
2016-03-03 18217.98 18348.5 2016-03-03 9807.0596 9751.9199 2016-03-03 4430.8999 4416.0801 2016-03-03 6147.0601 6130.46
2016-03-02 18143.221 18206.41 2016-03-02 9780.8398 9776.6201 2016-03-02 4428.9502 4424.8901 2016-03-02 6152.8799 6147.0601
2016-03-01 17557.23 18011.91 2016-03-01 9482.6602 9717.1602 2016-03-01 4343.9302 4406.8398 2016-03-01 6097.0898 6152.8799
2016-02-29 17341.74 17623.07 2016-02-29 9424.9297 9495.4004 2016-02-29 4275.8398 4353.5498 2016-02-29 6096.0098 6097.0898
2016-02-26 17299.029 17483.76 2016-02-26 9454.5195 9513.2998 2016-02-26 4297.8701 4314.5698 2016-02-26 6012.8101 6096.0098
2016-02-25 16939.52 17104.539 2016-02-25 9277.0195 9331.4805 2016-02-25 4219.7998 4248.4502 2016-02-25 5867.1802 6012.8101
2016-02-24 17157.73 16719.359 2016-02-24 9396.4805 9167.7998 2016-02-24 4232.48 4155.3398 2016-02-24 5962.3101 5867.1802
2016-02-23 17340.23 17163.461 2016-02-23 9503.1201 9416.7695 2016-02-23 4272.2202 4238.4199 2016-02-23 6037.73 5962.3101
2016-02-22 17127.65 17504.58 2016-02-22 9481.3701 9573.5898 2016-02-22 4260.6201 4298.7002 2016-02-22 5950.23 6037.73
2016-02-19 17024.76 16909.561 2016-02-19 9420.5098 9388.0498 2016-02-19 4232.2202 4223.04 2016-02-19 5971.9502 5950.23
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