Reading JSON array into Julia DataFrame-like type -


given json file, json package happily parses it. if dataframe (or other columnar data structure), way it?

currently, example, have:

using json using dataframes  json_str = """ [{ "color": "red", "value": "#f00" }, { "color": "green", "value": "#0f0" },   { "color": "blue", "value": "#00f" }, { "color": "cyan", "value": "#0ff" },   { "color": "magenta", "value": "#f0f" }, { "color": "yellow", "value": "#ff0" },   { "color": "black", "value": "#000" } ]   """  function jsontodf(a)     ka = union([keys(r) r in a]...)     df = dataframe(;dict(symbol(k)=>get.(a,k,na) k in ka)...)     return df end  = json.parser.parse(json_str) jsontodf(a)

which results in:

7×2 dataframes.dataframe │ row │ color     │ value  │ ├─────┼───────────┼────────┤ │ 1   │ "red"     │ "#f00" │ │ 2   │ "green"   │ "#0f0" │ │ 3   │ "blue"    │ "#00f" │ │ 4   │ "cyan"    │ "#0ff" │ │ 5   │ "magenta" │ "#f0f" │ │ 6   │ "yellow"  │ "#ff0" │ │ 7   │ "black"   │ "#000" │

and handles missing fields nas. cleaner / faster (julia v0.6+) ?


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