I'm trying to put a json file into a dataframe using this script
import pandas as pd
json = 'sof.json'
df = pd.read_json(json)
print(df)
but it's loading to the dataframe only 3 columns I think maybe because the information in the column 'config' is a nested json.
utcTime config sourceID
0 1661397791 {'toothSettings': [{'length': 0.52312962962962... 253
1 1661958325 {'toothSettings': [{'length': 0.52312962962962... 275
2 1661952893 {'toothSettings': [{'length': 0.50300925925925... 276
3 1661956026 {'toothSettings': [{'length': 0.50300925925925... 254
This is the JSON file
[
{
"utcTime": 1661397791,
"config": {
"toothSettings": [
{
"length": 0.5231296296296296,
"lengthAlgo": 0.5231296296296296,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 1,
"lowConfidence": 1
},
{
"length": 0.512824074074074,
"lengthAlgo": 0.512824074074074,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 2,
"lowConfidence": 1
},
{
"length": 0.5231296296296296,
"lengthAlgo": 0.5231296296296296,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 3,
"lowConfidence": 1
},
{
"length": 0.5129222222222222,
"lengthAlgo": 0.5129222222222222,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 4,
"lowConfidence": 1
},
{
"length": 0.5256814814814815,
"lengthAlgo": 0.5256814814814815,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 5,
"lowConfidence": 1
},
{
"length": 0.5205777777777777,
"lengthAlgo": 0.5205777777777777,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 6,
"lowConfidence": 1
},
{
"length": 0.5180259259259259,
"lengthAlgo": 0.5180259259259259,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 7,
"lowConfidence": 1
},
{
"length": 0.5205777777777777,
"lengthAlgo": 0.5205777777777777,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 8,
"lowConfidence": 1
},
{
"length": 0.5205777777777777,
"lengthAlgo": 0.5205777777777777,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 9,
"lowConfidence": 1
}
]
},
"sourceID": 253
},
{
"utcTime": 1661958325,
"config": {
"toothSettings": [
{
"length": 0.5231296296296296,
"lengthAlgo": 0.5231296296296296,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 1,
"lowConfidence": 1
},
{
"length": 0.512824074074074,
"lengthAlgo": 0.512824074074074,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 2,
"lowConfidence": 1
},
{
"length": 0.5030092592592592,
"lengthAlgo": 0.5030092592592592,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 3,
"lowConfidence": 1
},
{
"length": 0.4931944444444444,
"lengthAlgo": 0.4931944444444444,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 4,
"lowConfidence": 1
},
{
"length": 0.4852444444444445,
"lengthAlgo": 0.4852444444444445,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 5,
"lowConfidence": 1
},
{
"length": 0.48053333333333326,
"lengthAlgo": 0.48053333333333326,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 6,
"lowConfidence": 1
},
{
"length": 0.4781777777777777,
"lengthAlgo": 0.4781777777777777,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 7,
"lowConfidence": 1
},
{
"length": 0.5005555555555555,
"lengthAlgo": 0.5005555555555555,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 8,
"lowConfidence": 1
},
{
"length": 0.48053333333333326,
"lengthAlgo": 0.48053333333333326,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 9,
"lowConfidence": 1
}
]
},
"sourceID": 275
},
{
"utcTime": 1661952893,
"config": {
"toothSettings": [
{
"length": 0.5030092592592592,
"lengthAlgo": 0.5030092592592592,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 1,
"lowConfidence": 1
},
{
"length": 0.49231111111111103,
"lengthAlgo": 0.49231111111111103,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 2,
"lowConfidence": 1
},
{
"length": 0.46276851851851847,
"lengthAlgo": 0.46276851851851847,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 3,
"lowConfidence": 1
},
{
"length": 0.47346666666666665,
"lengthAlgo": 0.47346666666666665,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 4,
"lowConfidence": 1
},
{
"length": 0.4852444444444445,
"lengthAlgo": 0.4852444444444445,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 5,
"lowConfidence": 1
},
{
"length": 0.48053333333333326,
"lengthAlgo": 0.48053333333333326,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 6,
"lowConfidence": 1
},
{
"length": 0.49810185185185174,
"lengthAlgo": 0.49810185185185174,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 7,
"lowConfidence": 1
},
{
"length": 0.5005555555555555,
"lengthAlgo": 0.5005555555555555,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 8,
"lowConfidence": 1
},
{
"length": 0.5005555555555555,
"lengthAlgo": 0.5005555555555555,
"maxLength": 0.52,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 9,
"lowConfidence": 1
}
]
},
"sourceID": 276
},
{
"utcTime": 1661956026,
"config": {
"toothSettings": [
{
"length": 0.5030092592592592,
"lengthAlgo": 0.5030092592592592,
"maxLength": 0.615,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 1,
"lowConfidence": 1
},
{
"length": 0.49231111111111103,
"lengthAlgo": 0.49231111111111103,
"maxLength": 0.615,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 2,
"lowConfidence": 1
},
{
"length": 0.48288888888888887,
"lengthAlgo": 0.48288888888888887,
"maxLength": 0.615,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 3,
"lowConfidence": 1
},
{
"length": 0.47346666666666665,
"lengthAlgo": 0.47346666666666665,
"maxLength": 0.615,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 4,
"lowConfidence": 1
},
{
"length": 0.4852444444444445,
"lengthAlgo": 0.4852444444444445,
"maxLength": 0.615,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 5,
"lowConfidence": 1
},
{
"length": 0.48053333333333326,
"lengthAlgo": 0.48053333333333326,
"maxLength": 0.615,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 6,
"lowConfidence": 1
},
{
"length": 0.4781777777777777,
"lengthAlgo": 0.4781777777777777,
"maxLength": 0.615,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 7,
"lowConfidence": 1
},
{
"length": 0.5005555555555555,
"lengthAlgo": 0.5005555555555555,
"maxLength": 0.615,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 8,
"lowConfidence": 1
},
{
"length": 0.5205777777777777,
"lengthAlgo": 0.5205777777777777,
"maxLength": 0.615,
"minLength": 0.4,
"offset": 0,
"status": 0,
"toothNum": 9,
"lowConfidence": 1
}
]
},
"sourceID": 254
}
]
Do you know how can I have all the information contained in the column 'config' in separate columns?
Thank you.
CodePudding user response：
Try:
df = pd.read_json("data.json")
df = pd.concat([df, df.pop("config").apply(pd.Series)], axis=1)
df = df.explode("toothSettings")
df = pd.concat([df, df.pop("toothSettings").apply(pd.Series)], axis=1)
df["utcTime"] = pd.to_datetime(df["utcTime"], unit="s")
print(df.head(10).to_markdown())
Prints:
| utcTime | sourceID | length | lengthAlgo | maxLength | minLength | offset | status | toothNum | lowConfidence | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2022-08-25 03:23:11 | 253 | 0.52313 | 0.52313 | 0.52 | 0.4 | 0 | 0 | 1 | 1 |
| 0 | 2022-08-25 03:23:11 | 253 | 0.512824 | 0.512824 | 0.52 | 0.4 | 0 | 0 | 2 | 1 |
| 0 | 2022-08-25 03:23:11 | 253 | 0.52313 | 0.52313 | 0.52 | 0.4 | 0 | 0 | 3 | 1 |
| 0 | 2022-08-25 03:23:11 | 253 | 0.512922 | 0.512922 | 0.52 | 0.4 | 0 | 0 | 4 | 1 |
| 0 | 2022-08-25 03:23:11 | 253 | 0.525681 | 0.525681 | 0.52 | 0.4 | 0 | 0 | 5 | 1 |
| 0 | 2022-08-25 03:23:11 | 253 | 0.520578 | 0.520578 | 0.52 | 0.4 | 0 | 0 | 6 | 1 |
| 0 | 2022-08-25 03:23:11 | 253 | 0.518026 | 0.518026 | 0.52 | 0.4 | 0 | 0 | 7 | 1 |
| 0 | 2022-08-25 03:23:11 | 253 | 0.520578 | 0.520578 | 0.52 | 0.4 | 0 | 0 | 8 | 1 |
| 0 | 2022-08-25 03:23:11 | 253 | 0.520578 | 0.520578 | 0.52 | 0.4 | 0 | 0 | 9 | 1 |
| 1 | 2022-08-31 15:05:25 | 275 | 0.52313 | 0.52313 | 0.52 | 0.4 | 0 | 0 | 1 | 1 |