I have a json data which looks like this:
"rows": [
["2019-08-02", 364, 209, 2, 2],
["2019-08-03", 386, 250, 2, 5],
["2019-08-04", 382, 221, 3, 1],
["2019-08-05", 361, 218, 1, 0],
["2019-08-06", 338, 205, 4, 0],
["2019-08-07", 353, 208, 2, 2],
["2019-08-08", 405, 223, 2, 2],
["2019-08-09", 405, 266, 2, 2],
["2019-08-10", 494, 288, 0, 1],
]
I wanted to be headers of data as(not included in JSON file) as
["day", "estimatedPeopleVisited", "bought", "gives_pfeedback", "gives_nfeedback"]
I tried following code for reading file:
f = pd.read_json("data1308.json")
print(f)
and this gives output like:
rows
0 [2019-08-02, 364, 209, 2, 2]
1 [2019-08-03, 386, 250, 2, 5]
2 [2019-08-04, 382, 221, 3, 1]
3 [2019-08-05, 361, 218, 1, 0]
4 [2019-08-06, 338, 205, 4, 0]
5 [2019-08-07, 353, 208, 2, 2]
6 [2019-08-08, 405, 223, 2, 2]
7 [2019-08-09, 405, 266, 2, 2]
8 [2019-08-10, 494, 288, 0, 1]
I expect the output in form of:
day est bought gives_pfeedback gives_nfeedback
0 2019-08-02 364 209 2 2
1 2019-08-03 386 250 2 5
2 2019-08-04 382 221 3 1
3 2019-08-05 361 218 1 0
4 2019-08-06 338 205 4 0
. . . . . .
. . . . . .
. . . . . .
I can transform data in specified form after reading as problemset format but, is there any way to read directly JSON data in specified format?
What about this?
import pandas as pd
data = {"rows": [
["2019-08-02", 364, 209, 2, 2],
["2019-08-03", 386, 250, 2, 5],
["2019-08-04", 382, 221, 3, 1],
["2019-08-05", 361, 218, 1, 0],
["2019-08-06", 338, 205, 4, 0],
["2019-08-07", 353, 208, 2, 2],
["2019-08-08", 405, 223, 2, 2],
["2019-08-09", 405, 266, 2, 2],
["2019-08-10", 494, 288, 0, 1],
]}
cols = ["day", "estimatedPeopleVisited", "bought", "gives_pfeedback", "gives_nfeedback"]
df = pd.DataFrame.from_dict(data["rows"])
df.columns = cols
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