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I have a tibble/dataframe that look like this:

aspect Col1 Col2            Col3            Col4
ac1    0    2.874891e-05    0.0089479233    -0.0603030498
ac2    0    1.666263e-06    0.0057062434    0
ac3    0    -1.146331e-06   0.0171818879    0
ac4    0    -1.238803e-05   0.0115160832    0
ac5    0    -9.875351e-06   0.0107672657    0
am1    0    -2.851165e-07   0.0005078577    -0.0332858477
am2    0    1.650766e-06    0.0009922302    0.0659597726
am3    0    -2.727834e-06   -0.0002062687   -0.1169132561
am4    0    8.890657e-07    0.0016247214    0.0118325964
am5    0    1.705298e-06    0.0008613693    -0.1069581186

I want to create a JSON where aspect column is the "key" and the rest of the columns are the key:values: col1:value1 col2:value1 ...

I am trying to play with toJSON and data.frame = "rows" attribute but without luck.

Please advise.

The desired output should be like this:

[{"aspect":"ac1","col1":0,"col2":0,"col3":0.00=
89,"col4":-0.0603}, .....]
SteveS
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2 Answers2

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rjson::toJSON(dat)
[1] "{\"aspect\":[\"ac1\",\"ac2\",\"ac3\",\"ac4\",\"ac5\",\"am1\",\"am2\",\"am3\",\"am4\",\"am5\"],\"Col1\":[0,0,0,0,0,0,0,0,0,0],\"Col2\":[2.874891e-005,1.666263e-006,-1.146331e-006,-1.238803e-005,-9.875351e-006,-2.851165e-007,1.650766e-006,-2.727834e-006,8.890657e-007,1.705298e-006],\"Col3\":[0.0089479233,0.0057062434,0.0171818879,0.0115160832,0.0107672657,0.0005078577,0.0009922302,-0.0002062687,0.0016247214,0.0008613693],\"Col4\":[-0.0603030498,0,0,0,0,-0.0332858477,0.0659597726,-0.1169132561,0.0118325964,-0.1069581186]}"
Onyambu
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  • This is not what I want, I want it to be row wise: First row is ac1, so I expect to get: `ac1: col1 = 0, col2 = 2.874891e-05, col3 = 0.0089479233, col4 = -0.0603030498` Is it possible? – SteveS Jun 12 '18 at 10:48
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There are around 3 main JSON packages: jsonlite, rjson, RJSONIO.

Using jsonlite solved my issue: jsonlite::toJSON(data).

But you can use the attribute: dataframe = "rows" to change it's behavior.

It helped me, so spreading to others :)

SteveS
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