我有一个JSON输出,我想创建一个包含两列的csv文件。第一列应包含userId,第二列应包含videoSeries的值。输出如下:
ValueError: could not broadcast input array from shape (2) into shape (3)
我的csv应该是这样的:
{
"start": 1490383076,
"stop": 1492975076,
"events": [
{
"time": 1491294219,
"customParameters": [
{
"group": "channelId",
"item": "dr3"
},
{
"group": "videoGenre",
"item": "unknown"
},
{
"group": "videoSeries",
"item": "min-mor-er-pink"
},
{
"group": "videoSlug",
"item": "min-mor-er-pink"
}
],
"userId": "cx:hr1y0kcbhhr61qj7kspglu767:344xy3wb5bz16"
}
],
}
我尝试使用ijson和pandas来获得所需的输出,但我无法将两个不同数组的值转换为单个csv
--------------------------------------------------------------
User ID videoSeries
--------------------------------------------------------------
cx:hr1y0kcbhhr61qj7kspglu767:344xy3wb5bz16 min-mor-er-pink
--------------------------------------------------------------
答案 0 :(得分:1)
尝试这种方法:
d
是一个根据您的JSON构建的字典:
In [150]: d
Out[150]:
{'events': [{'customParameters': [{'group': 'channelId', 'item': 'dr3'},
{'group': 'videoGenre', 'item': 'unknown'},
{'group': 'videoSeries', 'item': 'min-mor-er-pink'},
{'group': 'videoSlug', 'item': 'min-mor-er-pink'}],
'time': 1491294219,
'userId': 'cx:hr1y0kcbhhr61qj7kspglu767:344xy3wb5bz16'}],
'start': 1490383076,
'stop': 1492975076}
解决方案:
In [153]: pd.io.json.json_normalize(d['events'], 'customParameters', ['userId']) \
...: .query("group in ['videoSeries']")[['userId','item']]
...:
Out[153]:
userId item
2 cx:hr1y0kcbhhr61qj7kspglu767:344xy3wb5bz16 min-mor-er-pink
如果您需要videoSeries
作为列名:
In [154]: pd.io.json.json_normalize(d['events'], 'customParameters', ['userId']) \
...: .query("group in ['videoSeries']")[['userId','item']] \
...: .rename(columns={'item':'videoSeries'})
...:
Out[154]:
userId videoSeries
2 cx:hr1y0kcbhhr61qj7kspglu767:344xy3wb5bz16 min-mor-er-pink