@edwardlyx 、
あなたの仕事は、JMP XML構文解析関数とJMP連想配列の力の優れた例を提供します。 これらの概念に慣れていない場合は、このスクリプトがどのように機能するのか疑問に思われるかもしれません。 連想配列は辞書とも呼ばれるキー付きリストで、名前と値のペアの順序付きリストです。連想配列のJMP実装には、（スクリプトで使用される）結合する挿入だけでなく、交差やその他の優れた機能など、非常に便利なメソッドが含まれています。
XML Attr（）が名前なしの場合、タグ内のすべての属性が名前と値のペアを持つ連想配列として返されます。
2つのファイルが添付されています。
- .txtファイルは、ブログ投稿に埋め込まれたxmlコードをテキストファイルにコピーして貼り付けることによって作成されました。 [申し訳ありませんが、このサイトの名前を.txtに変更してもXMLファイルを追加できません。内容がファイルタイプと一致しないとエラーが報告されます。]
- テーブルを作成するスクリプト
このスクリプトが機能しない場合は、JMPのバージョンとOSを投稿してください。
Names Default to Here(1);
path = "C:\temp\";
fid = "blog_question_parse.xml";
file_contents = Load Text File( path || fid );
//-- Create a display of the XML format
nw_xml = New Window( "Blog XML", Text Box( file_contents ) );
wait(5);
dt = New Table( word(1, fid,"."),
New Column( "rack", character ),
New Column( "drawer", character ),
New Column( "lastResult", character ),
New Column( "test", character ),
New Column( "tag", character ),
New Column( "time", character ),
New Column( "elapsedTime", character ),
New Column( "type", character ),
New Column( "pinset", character ),
New Column( "lotID", character ),
New Column( "carrierId", character ),
New Column( "carrier", character ),
New Column( "position", character ),
New Column( "lowlimit", character ),
New Column( "highlimit", character ),
New Column( "value", character ),
New Column( "passfail", character ),
); //end New Table
clist = dt << get column names("string");
//XML Attr() returns an Associative array of all attribute values in a tag
Parse XML( file_contents,
OnElement( "results",
Start Tag(
tag_aa = XML Attr(); //get all attributes as name value pairs
)
),
OnElement( "resultSet",
End Tag(
set_aa = XML Attr(); //get all attributes as name value pairs
)
),
OnElement( "result",
Start Tag( dt << Add Rows( 1 ); crow = nrow(dt) ),
End Tag(
row_aa = XML Attr(); //get all attributes as name value pairs
row_aa << Insert(tag_aa); //JMP Associative Arrays can be joined with Insert
row_aa << Insert(set_aa); // do it again and now row_aa has all values for the columns
for(i=1, i<=nitems(clist), i++,
column(dt,clist[i])[crow] = row_aa[clist[i]]
);
)
)
); //end Parse XML
numcol = {"rack", "drawer", "lastResult", "elapsedTime",
"carrier", "position", "lowlimit", "highlimit",
"value", "passfail"};
for(i=1, i<=nitems(numcol), i++,
column(dt,numcol[i]) << Data Type("Numeric");
);
いいスクリプト！1つの小さな（重要な）変更が必要
OnElement( "resultSet",
Start Tag(
set_aa = XML Attr(); //get all attributes as name value pairs
)
), 終了タグではなく開始タグを使用すると、resultSetデータが整理されます。
JMP 15（今年後半）には、JSLを記述せずにこれを実行できる新しいインポートXML機能があります。
この種類のXMLを解析する方法がわかりません。添付されているExcelにインポートするのと同じような形式を取得したいと思います。
<?xml version="1.0"?>
<results rack="1" drawer="1" lastResult="33" test="Sweep2_6A_1pct">
<!-- Sweep test. -->
<resultSet tag="ZONE_TEMPERATURE" time="Tue Jun 25 10:36:07 2019" elapsedTime="2" type="T" pinset="">
<result lotID="" carrierId="" carrier="0" position="1" lowlimit="0.0" highlimit="50.0" value="18.8125" passfail="0" />
</resultSet>
<resultSet tag="ZONE_TEMPERATURE" time="Tue Jun 25 10:36:07 2019" elapsedTime="2" type="T" pinset="">
<result lotID="" carrierId="" carrier="0" position="2" lowlimit="0.0" highlimit="50.0" value="18.28125" passfail="0" />
</resultSet>
<resultSet tag="INLET_TEMP" time="Tue Jun 25 10:36:07 2019" elapsedTime="2" type="T" pinset="">
<result lotID="" carrierId="" carrier="0" position="3" lowlimit="0.0" highlimit="50.0" value="18.09375" passfail="0" />
</resultSet>
<resultSet tag="M12_OS_MV" time="Tue Jun 25 10:36:09 2019" elapsedTime="4" type="V" pinset="M12">
<result lotID="101" carrierId="BP190001_04" carrier="1" position="1" lowlimit="2.5" highlimit="3.2999" value="2.9867653" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="2" lowlimit="2.5" highlimit="3.2999" value="2.9699957" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="3" lowlimit="2.5" highlimit="3.2999" value="2.9929226" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="4" lowlimit="2.5" highlimit="3.2999" value="2.9898474" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="5" lowlimit="2.5" highlimit="3.2999" value="3.0037852" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="6" lowlimit="2.5" highlimit="3.2999" value="2.9640567" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="7" lowlimit="2.5" highlimit="3.2999" value="2.9866076" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="8" lowlimit="2.5" highlimit="3.2999" value="2.9952315" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="9" lowlimit="2.5" highlimit="3.2999" value="2.9707197" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="10" lowlimit="2.5" highlimit="3.2999" value="3.0008683" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="11" lowlimit="2.5" highlimit="3.2999" value="2.9599822" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="12" lowlimit="2.5" highlimit="3.2999" value="2.9678346" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="13" lowlimit="2.5" highlimit="3.2999" value="2.9620826" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="14" lowlimit="2.5" highlimit="3.2999" value="2.9952638" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="15" lowlimit="2.5" highlimit="3.2999" value="3.0111032" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="16" lowlimit="2.5" highlimit="3.2999" value="2.9743756" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="17" lowlimit="2.5" highlimit="3.2999" value="3.0070123" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="18" lowlimit="2.5" highlimit="3.2999" value="2.9889807" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="19" lowlimit="2.5" highlimit="3.2999" value="2.9652241" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="20" lowlimit="2.5" highlimit="3.2999" value="2.9614325" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="21" lowlimit="2.5" highlimit="3.2999" value="2.9465721" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="22" lowlimit="2.5" highlimit="3.2999" value="2.9570839" passfail="0" />
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<result lotID="101" carrierId="BP190001_04" carrier="1" position="25" lowlimit="2.5" highlimit="3.2999" value="2.9774479" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="26" lowlimit="2.5" highlimit="3.2999" value="2.9980375" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="27" lowlimit="2.5" highlimit="3.2999" value="2.9608353" passfail="0" />
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<result lotID="101" carrierId="BP190001_04" carrier="1" position="29" lowlimit="2.5" highlimit="3.2999" value="2.9858496" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="30" lowlimit="2.5" highlimit="3.2999" value="2.9579059" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="31" lowlimit="2.5" highlimit="3.2999" value="2.9742712" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="32" lowlimit="2.5" highlimit="3.2999" value="3.0135734" passfail="0" />
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<result lotID="101" carrierId="BP190001_04" carrier="1" position="45" lowlimit="2.5" highlimit="3.2999" value="2.9597665" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="46" lowlimit="2.5" highlimit="3.2999" value="2.9712721" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="47" lowlimit="2.5" highlimit="3.2999" value="2.9658842" passfail="0" />
<result lotID="101" carrierId="BP190001_04" carrier="1" position="48" lowlimit="2.5" highlimit="3.2999" value="2.9841024" passfail="0" />
<result lotID="102" carrierId="BP190002_01" carrier="2" position="1" lowlimit="2.5" highlimit="3.2999" value="2.9392833" passfail="0" />
<result lotID="102" carrierId="BP190002_01" carrier="2" position="2" lowlimit="2.5" highlimit="3.2999" value="2.9644701" passfail="0" />
<result lotID="102" carrierId="BP190002_01" carrier="2" position="3" lowlimit="2.5" highlimit="3.2999" value="3.0099091" passfail="0" />
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</resultSet>
<resultSet tag="M12_OS_MI" time="Tue Jun 25 10:36:09 2019" elapsedTime="4" type="I" pinset="M12">
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<!-- TEST ENDED -->
</results>
ありがとう、 @Craige_Hales 。
最後の編集として、3つの異なる配列を使用してより単純な構文で表を埋めるのではなく、連想配列の結合を追加しました。 それから徹底的にテストテストされませんでした。 はい、新人の間違いで噛まれました。
更新されたスクリプトが添付されています。
