我有Json格式的输出
{
'name':'Ellemeet',
'id':'10019',
'nametype':'Valid',
'recclass':'Diogenite',
'mass':'1470',
'fall':'Fell',
'year':'1925-01-01T00:00:00.000',
'reclat':'51.750000',
'reclong':'4.000000',
'geolocation':{
'latitude':'51.75',
'longitude':'4.0'
},
'distance':84.00378375664592
}
我正在使用下面的代码将此行写入CSV文件
for meteor in meteor_data:
...: print(meteor)
...: if not ('reclat' in meteor and 'reclong' in meteor): continue
...: meteor['distance'] = calc_dist(float(meteor['reclat']), float(meteor['reclong']), \
...: my_loc[0], my_loc[1])
...: with open('names1.csv', 'w') as csvfile:
...: writer = csv.writer(csvfile)
...: for name, id, nametype, recclass, mass, fall, year, reclat, reclong, geolocation, distance \
...: in meteor.items().split(','):
...: writer.writerow([name, id, nametype, recclass, mass, fall, year, reclat, \
...: reclong, geolocation, distance])
在运行代码时,我遇到了值错误异常
ValueError:没有足够的值可解包(预期11,得到2)
答案 0 :(得分:0)
这个我的朋友正是熊猫库的构建对象。请花一些时间来学习它pandas
现在您的问题。
import pandas as pd
df = pd.DataFrame.from_dict(meteor_data)
df.to_csv('test.csv')
应该为您做。