the json returned by requests is in the form of dictionary data: [{aburel _ 1}, {aburel _ 2}, {ab _ 2}.], how to download the values of all ab columns into csv files in turn and save them in two columns.
the json returned by requests is in the form of dictionary data: [{aburel _ 1}, {aburel _ 2}, {ab _ 2}.], how to download the values of all ab columns into csv files in turn and save them in two columns.
for item in data:
with open('test.csv', 'w') as f:
f.writeline('${},${}\n'.format(item[a],item[b]))has not been verified, but it is almost meaningful
pandas has a read_json function, which can read the json string whose orient is records into the data frame and save it as a csv file in to_csv. You can try.
dict1 = { "system.cpu.user.pct": { "value": 12.83 }, "system.load.1": { "value": 0.33 } } dict2 = { "system": { "...
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