示例#1
0
文件: examples.py 项目: datamade/petl
# rangerecordreduce

table1 = [['foo', 'bar'],
          ['a', 3],
          ['a', 7],
          ['b', 2],
          ['b', 1],
          ['b', 9],
          ['c', 4]]

from petl import rangerecordreduce, look    
look(table1)
def redu(minv, maxunpack, recs):
    return [minv, maxunpack, ''.join([rec['foo'] for rec in recs])]

table2 = rangerecordreduce(table1, 'bar', 2, reducer=redu, fields=['frombar', 'tobar', 'foos'])
look(table2)


# rangecounts

table1 = [['foo', 'bar'],
          ['a', 3],
          ['a', 7],
          ['b', 2],
          ['b', 1],
          ['b', 9],
          ['c', 4],
          ['d', 3]]

from petl import rangecounts, look
示例#2
0
# rangerecordreduce

table1 = [['foo', 'bar'],
          ['a', 3],
          ['a', 7],
          ['b', 2],
          ['b', 1],
          ['b', 9],
          ['c', 4]]

from petl import rangerecordreduce, look    
look(table1)
def redu(minv, maxunpack, recs):
    return [minv, maxunpack, ''.join([rec['foo'] for rec in recs])]

table2 = rangerecordreduce(table1, 'bar', 2, reducer=redu, fields=['frombar', 'tobar', 'foos'])
look(table2)


# rangecounts

table1 = [['foo', 'bar'],
          ['a', 3],
          ['a', 7],
          ['b', 2],
          ['b', 1],
          ['b', 9],
          ['c', 4],
          ['d', 3]]

from petl import rangecounts, look