Difference between revisions of "Array.filteroncolumn()"
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− | *[1..10, | + | *[[1..3,4..6],[2.3..4.3,10.1..12.2],[3/5,10/5]].filteroncolumn(">-10") |
+ | 0.6 2 | ||
+ | |||
+ | *(([51..70,71..90])~).filteroncolumn(">63") | ||
{| class="wikitable" | {| class="wikitable" | ||
− | | | + | | 64 || 84 |
|- | |- | ||
− | | | + | | 65 || 85 |
|- | |- | ||
− | | | + | | 66 || 86 |
|- | |- | ||
− | | | + | | 67 || 87 |
|- | |- | ||
− | | | + | | 68 || 88 |
|- | |- | ||
− | | | + | |69 || 89 |
+ | |- | ||
+ | |70 || 90 | ||
|} | |} | ||
Latest revision as of 03:05, 23 February 2022
Array.filteroncolumn(Condition, ExtractColumns, FilterOnColumn)
- ExtractColumns are the columns that are extracted, and filters are applied on FilterOnColumn where condition is satisfied.
- 1..10.filteroncolumn(">5")
6 |
7 |
8 |
9 |
10 |
- [[1..3,4..6],[2.3..4.3,10.1..12.2],[3/5,10/5]].filteroncolumn(">-10")
0.6 2
- (([51..70,71..90])~).filteroncolumn(">63")
64 | 84 |
65 | 85 |
66 | 86 |
67 | 87 |
68 | 88 |
69 | 89 |
70 | 90 |