Comments (5)
This is why there’s a dsv.formatRows method. I’ve added some examples to the API reference. Hope this helps!
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Thanks for the answer, it's all clear now!
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Even though you can do this with dsv.formatRows, I think it would be easy to support this, so I’m reopening this issue. As you suggested, the dsv.format method could take an optional array of column names. Then, instead of this:
var string = csv.formatRows([[
"year",
"make",
"model",
"length"
]].concat(data.map(function(d, i) {
return [
d.year,
d.make,
d.model,
d.length
];
})));
You could say this:
var string = csv.format(data, ["year", "make", "model", "length"]);
Which is obviously much nicer. 😁
Another possibility is that we could check if the passed-in rows array exposes a columns
array, now that dsv.parse supports this feature. But I think this is probably too magical, since you might forget about the existence of the columns property after transforming the array. So, better to make it an explicit argument.
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Fixed in 0.1.11.
from d3-dsv.
Thanks for the feature! It's definitely a much neater approach
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Related Issues (20)
- csv2json cli throws error when using --auto-type
- Add shoutout to d3.autoType in d3.parse documentation
- TypeError: Cannot read property 'trim' of undefined HOT 3
- dsv.parse's returned columns property doesn't reflect row conversion function HOT 4
- Use Object.fromEntries to convert arrays into objects? HOT 1
- date tests fail HOT 2
- Export individual "formatRow" and "formatValue" functions HOT 5
- Avoid "Function" constructor HOT 1
- Add documentation about CSP incompatibility HOT 1
- Could we possibly add a ssv() or wssv()? HOT 4
- [RFC] Split out the CLI to a separate package HOT 3
- Repeated columns names erase each other for xParse HOT 6
- wrong parsing d3.tsvParse with only number header HOT 4
- d3.autotype: keep leading 0 HOT 1
- Option to quote empty strings? HOT 1
- Error: Must use import to load ES Module HOT 4
- Potential performance issue - Columns property added to returned array from dsv.parse could lose browser engine optimization on array operations HOT 1
- Column data will be lost if the column name is the same HOT 1
- `objectConverter` can work without `Function`. HOT 1
- https://observablehq.com/@mbostock/streaming-csv HOT 2
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