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Bar with non-numeric (x,y) items bug fix - #1519

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Bar with non-numeric (x,y) items bug fix#1519
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Currently

vardata=[{x: [5,NaN,15,20,NaN,21],y: [20,NaN,23,25,NaN,26],type: 'bar'}];Plotly.newPlot('myDiv',data);

generates

image

which is wrong.

With this PR, we get

image

- so that item with non-numeric (x,y) are excluded from
the calcdata.
@etpinardetpinard changed the title Bar with non-numeric (x.y) items bug fixBar with non-numeric (x,y) items bug fixMar 27, 2017
Comment threadsrc/traces/bar/calc.js Outdated
cd.push({ p: p, s: s });
} else {
cd.push({ p: p });
}

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Nice. Do we need to merge in the base loop below too?

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Maybe? The behavior now is similar to how scatter fills in its arrayOk attributes. I can double check though.

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Looks like scatter keeps a 1:1 mapping between calcdata points and the input arrays, filling in non-numerics with {x: false, y: false} - that's a good point about other arrayOK attributes, maybe it would be easier to keep that 1:1 mapping for bars too? Should be faster too, as we're not doing repeated .push, can set the size of cd at the start.

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I prefer removing non-numeric items in the calc step, so that we don't have to do that during the plot step (e.g. on zoom).

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OK, but then how do you want to solve this for bar color arrays etc? save the original index in each cd element? cd.push({p: p, s: s, i: i}) or something? That would need to be propagated all the way through to Lib.mergeArray which seems like a bit of a disaster.

Non-numerics should be regarded as an edge case, so the overhead of managing their objects shouldn't be seen as a concern, but you're right to worry about the overhead of checking each valid point. That said, this works for scatter which can have way more points than bars, so I think as long as we make this test super simple it shouldn't be a problem.

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@alexcjohnson ok, you convinced me.

With commit 0144f06 bar calcdata has now a 1-1 correspondence with the bar (x,y) coordinates. Note that non-numeric bar items are cleaned up in bar/plot.js and makeCalcdata (called above the serieslen loop in bar/calc.js) sets non-numeric values to BADNUM.


This a pretty big change that might lead to regressions, so this PR will make be part of the next minor release v1.26.0 only.

- as per AJ's recommendation
- and skip over them in setPositions
- use BADNUM constant to skip over non-numeric items
(recall: non-numeric values are set to BADNUM in makeCalcdata)
- see #1369
for why that was needed.
@etpinardetpinard added this to the v1.26.0 milestone Mar 28, 2017
var cd = gd.calcdata;
assertPointField(cd, 'x', [[0, 1, 2, 3]]);
assertPointField(cd, 'y', [[1, NaN, NaN, 15]]);
});

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do we have a test with a bad x but good y for the same point?

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Good call. Added in 6f0a95d

@alexcjohnson

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Nice - big improvement. At some point we may want to make sure we have tests that throw some garbage or partially garbage points into ALL our trace types - perhaps just add some junk to various image test mocks that shouldn't impact the images - but it's great that we've locked this down for bars now. 💃

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Bar with non-numeric (x,y) items bug fix by etpinard · Pull Request #1519 · plotly/plotly.js · GitHub
Skip to content

Bar with non-numeric (x,y) items bug fix - #1519

Merged
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug
Mar 30, 2017
Merged

Bar with non-numeric (x,y) items bug fix#1519
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug

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@etpinard

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Currently

vardata=[{x: [5,NaN,15,20,NaN,21],y: [20,NaN,23,25,NaN,26],type: 'bar'}];Plotly.newPlot('myDiv',data);

generates

image

which is wrong.

With this PR, we get

image

- so that item with non-numeric (x,y) are excluded from
the calcdata.
@etpinardetpinard changed the title Bar with non-numeric (x.y) items bug fixBar with non-numeric (x,y) items bug fixMar 27, 2017
Comment threadsrc/traces/bar/calc.js Outdated
cd.push({ p: p, s: s });
} else {
cd.push({ p: p });
}

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Nice. Do we need to merge in the base loop below too?

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Maybe? The behavior now is similar to how scatter fills in its arrayOk attributes. I can double check though.

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Looks like scatter keeps a 1:1 mapping between calcdata points and the input arrays, filling in non-numerics with {x: false, y: false} - that's a good point about other arrayOK attributes, maybe it would be easier to keep that 1:1 mapping for bars too? Should be faster too, as we're not doing repeated .push, can set the size of cd at the start.

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I prefer removing non-numeric items in the calc step, so that we don't have to do that during the plot step (e.g. on zoom).

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OK, but then how do you want to solve this for bar color arrays etc? save the original index in each cd element? cd.push({p: p, s: s, i: i}) or something? That would need to be propagated all the way through to Lib.mergeArray which seems like a bit of a disaster.

Non-numerics should be regarded as an edge case, so the overhead of managing their objects shouldn't be seen as a concern, but you're right to worry about the overhead of checking each valid point. That said, this works for scatter which can have way more points than bars, so I think as long as we make this test super simple it shouldn't be a problem.

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@alexcjohnson ok, you convinced me.

With commit 0144f06 bar calcdata has now a 1-1 correspondence with the bar (x,y) coordinates. Note that non-numeric bar items are cleaned up in bar/plot.js and makeCalcdata (called above the serieslen loop in bar/calc.js) sets non-numeric values to BADNUM.


This a pretty big change that might lead to regressions, so this PR will make be part of the next minor release v1.26.0 only.

- as per AJ's recommendation
- and skip over them in setPositions
- use BADNUM constant to skip over non-numeric items
(recall: non-numeric values are set to BADNUM in makeCalcdata)
- see #1369
for why that was needed.
@etpinardetpinard added this to the v1.26.0 milestone Mar 28, 2017
var cd = gd.calcdata;
assertPointField(cd, 'x', [[0, 1, 2, 3]]);
assertPointField(cd, 'y', [[1, NaN, NaN, 15]]);
});

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do we have a test with a bad x but good y for the same point?

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Good call. Added in 6f0a95d

@alexcjohnson

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Nice - big improvement. At some point we may want to make sure we have tests that throw some garbage or partially garbage points into ALL our trace types - perhaps just add some junk to various image test mocks that shouldn't impact the images - but it's great that we've locked this down for bars now. 💃

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Skip to content

Bar with non-numeric (x,y) items bug fix - #1519

Merged
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug
Mar 30, 2017
Merged

Bar with non-numeric (x,y) items bug fix#1519
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug

Conversation

@etpinard

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Currently

vardata=[{x: [5,NaN,15,20,NaN,21],y: [20,NaN,23,25,NaN,26],type: 'bar'}];Plotly.newPlot('myDiv',data);

generates

image

which is wrong.

With this PR, we get

image

- so that item with non-numeric (x,y) are excluded from
the calcdata.
@etpinardetpinard changed the title Bar with non-numeric (x.y) items bug fixBar with non-numeric (x,y) items bug fixMar 27, 2017
Comment threadsrc/traces/bar/calc.js Outdated
cd.push({ p: p, s: s });
} else {
cd.push({ p: p });
}

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Nice. Do we need to merge in the base loop below too?

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Maybe? The behavior now is similar to how scatter fills in its arrayOk attributes. I can double check though.

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Choose a reason for hiding this comment

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Looks like scatter keeps a 1:1 mapping between calcdata points and the input arrays, filling in non-numerics with {x: false, y: false} - that's a good point about other arrayOK attributes, maybe it would be easier to keep that 1:1 mapping for bars too? Should be faster too, as we're not doing repeated .push, can set the size of cd at the start.

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ContributorAuthor

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I prefer removing non-numeric items in the calc step, so that we don't have to do that during the plot step (e.g. on zoom).

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Choose a reason for hiding this comment

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OK, but then how do you want to solve this for bar color arrays etc? save the original index in each cd element? cd.push({p: p, s: s, i: i}) or something? That would need to be propagated all the way through to Lib.mergeArray which seems like a bit of a disaster.

Non-numerics should be regarded as an edge case, so the overhead of managing their objects shouldn't be seen as a concern, but you're right to worry about the overhead of checking each valid point. That said, this works for scatter which can have way more points than bars, so I think as long as we make this test super simple it shouldn't be a problem.

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ContributorAuthor

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@alexcjohnson ok, you convinced me.

With commit 0144f06 bar calcdata has now a 1-1 correspondence with the bar (x,y) coordinates. Note that non-numeric bar items are cleaned up in bar/plot.js and makeCalcdata (called above the serieslen loop in bar/calc.js) sets non-numeric values to BADNUM.


This a pretty big change that might lead to regressions, so this PR will make be part of the next minor release v1.26.0 only.

- as per AJ's recommendation
- and skip over them in setPositions
- use BADNUM constant to skip over non-numeric items
(recall: non-numeric values are set to BADNUM in makeCalcdata)
- see #1369
for why that was needed.
@etpinardetpinard added this to the v1.26.0 milestone Mar 28, 2017
var cd = gd.calcdata;
assertPointField(cd, 'x', [[0, 1, 2, 3]]);
assertPointField(cd, 'y', [[1, NaN, NaN, 15]]);
});

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do we have a test with a bad x but good y for the same point?

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Good call. Added in 6f0a95d

@alexcjohnson

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Nice - big improvement. At some point we may want to make sure we have tests that throw some garbage or partially garbage points into ALL our trace types - perhaps just add some junk to various image test mocks that shouldn't impact the images - but it's great that we've locked this down for bars now. 💃

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Skip to content

Bar with non-numeric (x,y) items bug fix - #1519

Merged
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug
Mar 30, 2017
Merged

Bar with non-numeric (x,y) items bug fix#1519
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug

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@etpinard

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Currently

vardata=[{x: [5,NaN,15,20,NaN,21],y: [20,NaN,23,25,NaN,26],type: 'bar'}];Plotly.newPlot('myDiv',data);

generates

image

which is wrong.

With this PR, we get

image

- so that item with non-numeric (x,y) are excluded from
the calcdata.
@etpinardetpinard changed the title Bar with non-numeric (x.y) items bug fixBar with non-numeric (x,y) items bug fixMar 27, 2017
Comment threadsrc/traces/bar/calc.js Outdated
cd.push({ p: p, s: s });
} else {
cd.push({ p: p });
}

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Nice. Do we need to merge in the base loop below too?

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Maybe? The behavior now is similar to how scatter fills in its arrayOk attributes. I can double check though.

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Looks like scatter keeps a 1:1 mapping between calcdata points and the input arrays, filling in non-numerics with {x: false, y: false} - that's a good point about other arrayOK attributes, maybe it would be easier to keep that 1:1 mapping for bars too? Should be faster too, as we're not doing repeated .push, can set the size of cd at the start.

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I prefer removing non-numeric items in the calc step, so that we don't have to do that during the plot step (e.g. on zoom).

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OK, but then how do you want to solve this for bar color arrays etc? save the original index in each cd element? cd.push({p: p, s: s, i: i}) or something? That would need to be propagated all the way through to Lib.mergeArray which seems like a bit of a disaster.

Non-numerics should be regarded as an edge case, so the overhead of managing their objects shouldn't be seen as a concern, but you're right to worry about the overhead of checking each valid point. That said, this works for scatter which can have way more points than bars, so I think as long as we make this test super simple it shouldn't be a problem.

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@alexcjohnson ok, you convinced me.

With commit 0144f06 bar calcdata has now a 1-1 correspondence with the bar (x,y) coordinates. Note that non-numeric bar items are cleaned up in bar/plot.js and makeCalcdata (called above the serieslen loop in bar/calc.js) sets non-numeric values to BADNUM.


This a pretty big change that might lead to regressions, so this PR will make be part of the next minor release v1.26.0 only.

- as per AJ's recommendation
- and skip over them in setPositions
- use BADNUM constant to skip over non-numeric items
(recall: non-numeric values are set to BADNUM in makeCalcdata)
- see #1369
for why that was needed.
@etpinardetpinard added this to the v1.26.0 milestone Mar 28, 2017
var cd = gd.calcdata;
assertPointField(cd, 'x', [[0, 1, 2, 3]]);
assertPointField(cd, 'y', [[1, NaN, NaN, 15]]);
});

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do we have a test with a bad x but good y for the same point?

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Good call. Added in 6f0a95d

@alexcjohnson

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Nice - big improvement. At some point we may want to make sure we have tests that throw some garbage or partially garbage points into ALL our trace types - perhaps just add some junk to various image test mocks that shouldn't impact the images - but it's great that we've locked this down for bars now. 💃

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Skip to content

Bar with non-numeric (x,y) items bug fix - #1519

Merged
etpinard merged 5 commits into
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bar-non-numeric-bug
Mar 30, 2017
Merged

Bar with non-numeric (x,y) items bug fix#1519
etpinard merged 5 commits into
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Currently

vardata=[{x: [5,NaN,15,20,NaN,21],y: [20,NaN,23,25,NaN,26],type: 'bar'}];Plotly.newPlot('myDiv',data);

generates

image

which is wrong.

With this PR, we get

image

- so that item with non-numeric (x,y) are excluded from
the calcdata.
@etpinardetpinard changed the title Bar with non-numeric (x.y) items bug fixBar with non-numeric (x,y) items bug fixMar 27, 2017
Comment threadsrc/traces/bar/calc.js Outdated
cd.push({ p: p, s: s });
} else {
cd.push({ p: p });
}

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Nice. Do we need to merge in the base loop below too?

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Maybe? The behavior now is similar to how scatter fills in its arrayOk attributes. I can double check though.

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Looks like scatter keeps a 1:1 mapping between calcdata points and the input arrays, filling in non-numerics with {x: false, y: false} - that's a good point about other arrayOK attributes, maybe it would be easier to keep that 1:1 mapping for bars too? Should be faster too, as we're not doing repeated .push, can set the size of cd at the start.

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I prefer removing non-numeric items in the calc step, so that we don't have to do that during the plot step (e.g. on zoom).

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OK, but then how do you want to solve this for bar color arrays etc? save the original index in each cd element? cd.push({p: p, s: s, i: i}) or something? That would need to be propagated all the way through to Lib.mergeArray which seems like a bit of a disaster.

Non-numerics should be regarded as an edge case, so the overhead of managing their objects shouldn't be seen as a concern, but you're right to worry about the overhead of checking each valid point. That said, this works for scatter which can have way more points than bars, so I think as long as we make this test super simple it shouldn't be a problem.

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@alexcjohnson ok, you convinced me.

With commit 0144f06 bar calcdata has now a 1-1 correspondence with the bar (x,y) coordinates. Note that non-numeric bar items are cleaned up in bar/plot.js and makeCalcdata (called above the serieslen loop in bar/calc.js) sets non-numeric values to BADNUM.


This a pretty big change that might lead to regressions, so this PR will make be part of the next minor release v1.26.0 only.

- as per AJ's recommendation
- and skip over them in setPositions
- use BADNUM constant to skip over non-numeric items
(recall: non-numeric values are set to BADNUM in makeCalcdata)
- see #1369
for why that was needed.
@etpinardetpinard added this to the v1.26.0 milestone Mar 28, 2017
var cd = gd.calcdata;
assertPointField(cd, 'x', [[0, 1, 2, 3]]);
assertPointField(cd, 'y', [[1, NaN, NaN, 15]]);
});

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do we have a test with a bad x but good y for the same point?

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Good call. Added in 6f0a95d

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Nice - big improvement. At some point we may want to make sure we have tests that throw some garbage or partially garbage points into ALL our trace types - perhaps just add some junk to various image test mocks that shouldn't impact the images - but it's great that we've locked this down for bars now. 💃

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Bar with non-numeric (x,y) items bug fix by etpinard · Pull Request #1519 · plotly/plotly.js · GitHub
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Bar with non-numeric (x,y) items bug fix - #1519

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etpinard merged 5 commits into
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bar-non-numeric-bug
Mar 30, 2017
Merged

Bar with non-numeric (x,y) items bug fix#1519
etpinard merged 5 commits into
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Currently

vardata=[{x: [5,NaN,15,20,NaN,21],y: [20,NaN,23,25,NaN,26],type: 'bar'}];Plotly.newPlot('myDiv',data);

generates

image

which is wrong.

With this PR, we get

image

- so that item with non-numeric (x,y) are excluded from
the calcdata.
@etpinardetpinard changed the title Bar with non-numeric (x.y) items bug fixBar with non-numeric (x,y) items bug fixMar 27, 2017
Comment threadsrc/traces/bar/calc.js Outdated
cd.push({ p: p, s: s });
} else {
cd.push({ p: p });
}

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Nice. Do we need to merge in the base loop below too?

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Maybe? The behavior now is similar to how scatter fills in its arrayOk attributes. I can double check though.

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Looks like scatter keeps a 1:1 mapping between calcdata points and the input arrays, filling in non-numerics with {x: false, y: false} - that's a good point about other arrayOK attributes, maybe it would be easier to keep that 1:1 mapping for bars too? Should be faster too, as we're not doing repeated .push, can set the size of cd at the start.

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I prefer removing non-numeric items in the calc step, so that we don't have to do that during the plot step (e.g. on zoom).

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OK, but then how do you want to solve this for bar color arrays etc? save the original index in each cd element? cd.push({p: p, s: s, i: i}) or something? That would need to be propagated all the way through to Lib.mergeArray which seems like a bit of a disaster.

Non-numerics should be regarded as an edge case, so the overhead of managing their objects shouldn't be seen as a concern, but you're right to worry about the overhead of checking each valid point. That said, this works for scatter which can have way more points than bars, so I think as long as we make this test super simple it shouldn't be a problem.

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@alexcjohnson ok, you convinced me.

With commit 0144f06 bar calcdata has now a 1-1 correspondence with the bar (x,y) coordinates. Note that non-numeric bar items are cleaned up in bar/plot.js and makeCalcdata (called above the serieslen loop in bar/calc.js) sets non-numeric values to BADNUM.


This a pretty big change that might lead to regressions, so this PR will make be part of the next minor release v1.26.0 only.

- as per AJ's recommendation
- and skip over them in setPositions
- use BADNUM constant to skip over non-numeric items
(recall: non-numeric values are set to BADNUM in makeCalcdata)
- see #1369
for why that was needed.
@etpinardetpinard added this to the v1.26.0 milestone Mar 28, 2017
var cd = gd.calcdata;
assertPointField(cd, 'x', [[0, 1, 2, 3]]);
assertPointField(cd, 'y', [[1, NaN, NaN, 15]]);
});

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do we have a test with a bad x but good y for the same point?

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Good call. Added in 6f0a95d

@alexcjohnson

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Nice - big improvement. At some point we may want to make sure we have tests that throw some garbage or partially garbage points into ALL our trace types - perhaps just add some junk to various image test mocks that shouldn't impact the images - but it's great that we've locked this down for bars now. 💃

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Skip to content

Bar with non-numeric (x,y) items bug fix - #1519

Merged
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug
Mar 30, 2017
Merged

Bar with non-numeric (x,y) items bug fix#1519
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug

Conversation

@etpinard

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Currently

vardata=[{x: [5,NaN,15,20,NaN,21],y: [20,NaN,23,25,NaN,26],type: 'bar'}];Plotly.newPlot('myDiv',data);

generates

image

which is wrong.

With this PR, we get

image

- so that item with non-numeric (x,y) are excluded from
the calcdata.
@etpinardetpinard changed the title Bar with non-numeric (x.y) items bug fixBar with non-numeric (x,y) items bug fixMar 27, 2017
Comment threadsrc/traces/bar/calc.js Outdated
cd.push({ p: p, s: s });
} else {
cd.push({ p: p });
}

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Nice. Do we need to merge in the base loop below too?

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Maybe? The behavior now is similar to how scatter fills in its arrayOk attributes. I can double check though.

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Looks like scatter keeps a 1:1 mapping between calcdata points and the input arrays, filling in non-numerics with {x: false, y: false} - that's a good point about other arrayOK attributes, maybe it would be easier to keep that 1:1 mapping for bars too? Should be faster too, as we're not doing repeated .push, can set the size of cd at the start.

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I prefer removing non-numeric items in the calc step, so that we don't have to do that during the plot step (e.g. on zoom).

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OK, but then how do you want to solve this for bar color arrays etc? save the original index in each cd element? cd.push({p: p, s: s, i: i}) or something? That would need to be propagated all the way through to Lib.mergeArray which seems like a bit of a disaster.

Non-numerics should be regarded as an edge case, so the overhead of managing their objects shouldn't be seen as a concern, but you're right to worry about the overhead of checking each valid point. That said, this works for scatter which can have way more points than bars, so I think as long as we make this test super simple it shouldn't be a problem.

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@alexcjohnson ok, you convinced me.

With commit 0144f06 bar calcdata has now a 1-1 correspondence with the bar (x,y) coordinates. Note that non-numeric bar items are cleaned up in bar/plot.js and makeCalcdata (called above the serieslen loop in bar/calc.js) sets non-numeric values to BADNUM.


This a pretty big change that might lead to regressions, so this PR will make be part of the next minor release v1.26.0 only.

- as per AJ's recommendation
- and skip over them in setPositions
- use BADNUM constant to skip over non-numeric items
(recall: non-numeric values are set to BADNUM in makeCalcdata)
- see #1369
for why that was needed.
@etpinardetpinard added this to the v1.26.0 milestone Mar 28, 2017
var cd = gd.calcdata;
assertPointField(cd, 'x', [[0, 1, 2, 3]]);
assertPointField(cd, 'y', [[1, NaN, NaN, 15]]);
});

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do we have a test with a bad x but good y for the same point?

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ContributorAuthor

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Good call. Added in 6f0a95d

@alexcjohnson

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Nice - big improvement. At some point we may want to make sure we have tests that throw some garbage or partially garbage points into ALL our trace types - perhaps just add some junk to various image test mocks that shouldn't impact the images - but it's great that we've locked this down for bars now. 💃

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Bar with non-numeric (x,y) items bug fix - #1519

Merged
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug
Mar 30, 2017
Merged

Bar with non-numeric (x,y) items bug fix#1519
etpinard merged 5 commits into
masterfrom
bar-non-numeric-bug

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Currently

vardata=[{x: [5,NaN,15,20,NaN,21],y: [20,NaN,23,25,NaN,26],type: 'bar'}];Plotly.newPlot('myDiv',data);

generates

image

which is wrong.

With this PR, we get

image

- so that item with non-numeric (x,y) are excluded from
the calcdata.
@etpinardetpinard changed the title Bar with non-numeric (x.y) items bug fixBar with non-numeric (x,y) items bug fixMar 27, 2017
Comment threadsrc/traces/bar/calc.js Outdated
cd.push({ p: p, s: s });
} else {
cd.push({ p: p });
}

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Nice. Do we need to merge in the base loop below too?

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Maybe? The behavior now is similar to how scatter fills in its arrayOk attributes. I can double check though.

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Looks like scatter keeps a 1:1 mapping between calcdata points and the input arrays, filling in non-numerics with {x: false, y: false} - that's a good point about other arrayOK attributes, maybe it would be easier to keep that 1:1 mapping for bars too? Should be faster too, as we're not doing repeated .push, can set the size of cd at the start.

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ContributorAuthor

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I prefer removing non-numeric items in the calc step, so that we don't have to do that during the plot step (e.g. on zoom).

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OK, but then how do you want to solve this for bar color arrays etc? save the original index in each cd element? cd.push({p: p, s: s, i: i}) or something? That would need to be propagated all the way through to Lib.mergeArray which seems like a bit of a disaster.

Non-numerics should be regarded as an edge case, so the overhead of managing their objects shouldn't be seen as a concern, but you're right to worry about the overhead of checking each valid point. That said, this works for scatter which can have way more points than bars, so I think as long as we make this test super simple it shouldn't be a problem.

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@alexcjohnson ok, you convinced me.

With commit 0144f06 bar calcdata has now a 1-1 correspondence with the bar (x,y) coordinates. Note that non-numeric bar items are cleaned up in bar/plot.js and makeCalcdata (called above the serieslen loop in bar/calc.js) sets non-numeric values to BADNUM.


This a pretty big change that might lead to regressions, so this PR will make be part of the next minor release v1.26.0 only.

- as per AJ's recommendation
- and skip over them in setPositions
- use BADNUM constant to skip over non-numeric items
(recall: non-numeric values are set to BADNUM in makeCalcdata)
- see #1369
for why that was needed.
@etpinardetpinard added this to the v1.26.0 milestone Mar 28, 2017
var cd = gd.calcdata;
assertPointField(cd, 'x', [[0, 1, 2, 3]]);
assertPointField(cd, 'y', [[1, NaN, NaN, 15]]);
});

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do we have a test with a bad x but good y for the same point?

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ContributorAuthor

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Good call. Added in 6f0a95d

@alexcjohnson

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Nice - big improvement. At some point we may want to make sure we have tests that throw some garbage or partially garbage points into ALL our trace types - perhaps just add some junk to various image test mocks that shouldn't impact the images - but it's great that we've locked this down for bars now. 💃

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