数据帧:
c_os_family_ss c_os_major_is l_customer_id_i
0 Windows 7 90418
1 Windows 7 90418
2 Windows 7 90418
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码:
print df
for name, group in df.groupby('l_customer_id_i').agg(lambda x: ','.join(x)):
print name
print group
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我试图循环聚合数据,但我收到错误:
ValueError:要解压缩的值太多
@EdChum,这是预期的输出:
c_os_family_ss \
l_customer_id_i
131572 Windows 7,Windows 7,Windows 7,Windows 7,Window...
135467 Windows 7,Windows 7,Windows 7,Windows 7,Window...
c_os_major_is
l_customer_id_i
131572 ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,...
135467 ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,...
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输出不是问题,我希望遍历每个组.