如何处理同一文件中包含两个重复定义的csv文件。
我的意思是文件看起来像这样重复,每个种族的种族数量和数量都在增加。
Meeting,05/07/14,RHIL,Rosehill Gardens,Weights,TAB,+3m Entire Circuit, ,
Race,1,CIVIC STAKES,CIVIC,CIVIC,1350,~ ,3U ,~ ,QLT ,54,0,0,5/07/2014,, , , , ,No class restriction, Quality, For Three-Years-Old and Upwards, No sex restriction, (Listed),Of $100000. First $60000, second $20000, third $10000, fourth $5000, fifth $2000, sixth $1000, seventh $1000, eighth $1000
Horse,1,Bennetta,0,"Grahame Begg",Randwick,,0,0,16-3-1-3 $390450.00,,0,0,0,,98.00,M,
Horse,2,Breakfast in Bed,0,"David Vandyke",Warwick Farm,,0,0,20-6-1-5 $201250.00,,0,0,0,,81.00,M,
Horse,3,Capital Commander,0,"Gerald Ryan",Rosehill,,0,0,43-9-9-3 $438625.00,,0,0,0,,85.00,M,
Horse,4,Coup Ay Tee (NZ),0,"Chris Waller",Rosehill,,0,0,35-9-6-5 $519811.00,,0,0,0,,101.00,G,
Horse,5,Generalife,0,"John O'Shea",Warwick Farm,,0,0,19-6-1-3 $235045.00,,0,0,0,,87.00,G,
Horse,6,He's Your Man (FR),0,"Chris Waller",Rosehill,,0,0,13-2-3-1 $108110.00,,0,0,0,,93.00,G,
Horse,7,Hidden Kisses,0,"Chris Waller",Rosehill,,0,0,40-8-8-5 $565750.00,,0,0,0,,96.00,M,
Horse,8,Oakfield Commands,0,"Gerald Ryan",Rosehill,,0,0,22-7-4-6 $269530.00,,0,0,0,,94.00,G,
Horse,9,Taxmeifyoucan,0,"Gregory Hickman",Warwick Farm,,0,0,18-2-4-4 $539730.00,,0,0,0,,91.00,G,
Horse,10,The Peak,0,"Bart & James Cummings",Randwick,,0,0,15-6-1-0 $426732.00,,0,0,0,,95.00,G,
Horse,11,Tougher Than Ever (NZ),0,"Chris Waller",Rosehill,,0,0,17-3-2-3 $321613.00,,0,0,0,,97.00,H,
Horse,12,TROMSO,0,"Chris Waller",Rosehill,,0,0,47-8-11-2 $622300.00,,0,0,0,,103.00,G,
Race,2,FLYING WELTER - BENCHMARK 95 HCP,BM95,BM95,1100,BM95 ,3U ,~ ,HCP ,54,0,0,5/07/2014,, , , , ,BenchMark 95, Handicap, For Three-Years-Old and Upwards, No sex restriction,Of $85000. First $48750, second $16750, third $8350, fourth $4150, fifth $2000, sixth $1000, seventh $1000, eighth $1000, ninth $1000, tenth $1000
Horse,1,Big Bonanza,0,"Don Robb",Wyong,,0,57.5,31-9-4-3 $366860.00,,0,0,0,,92.00,G,
Horse,2,Casual Choice,0,"Joseph Pride",Warwick Farm,,0,54,8-2-3-0 $105930.00,,0,0,0,,80.00,G,
Horse,3,Cradle Me,0,"David Pfieffer",Warwick Farm,,0,54,28-7-4-2 $268215.00,,0,0,0,,89.00,M,
我可以使用阅读器以标准方式解析它,并且它有责任。
In [9]: with open('/home/sayth/Scripts/test.csv') as f:
f_csv = csv.reader(f)
headers = next(f_csv)
for row in f_csv:
print row
['Race', '1', 'CIVIC STAKES', 'CIVIC', 'CIVIC', '1350', '~ ', '3U ', '~ ', 'QLT ', '54', '0', '0', '5/07/2014', '', ' ', ' ', ' ', ' ', 'No class restriction', ' Quality', ' For Three-Years-Old and Upwards', ' No sex restriction', ' (Listed)', 'Of $100000. First $60000', ' second $20000', ' third $10000', ' fourth $5000', ' fifth $2000', ' sixth $1000', ' seventh $1000', ' eighth $1000']
['Horse', '1', 'Bennetta', '0', 'Grahame Begg', 'Randwick', '', '0', '0', '16-3-1-3 $390450.00', '', '0', '0', '0', '', '98.00', 'M', '']
['Horse', '2', 'Breakfast in Bed', '0', 'David Vandyke', 'Warwick Farm', '', '0', '0', '20-6-1-5 $201250.00', '', '0', '0', '0', '', '81.00', 'M', '']
然而,种族的定义及其中包含的信息并不是马的标题,包含38个项目。它实际上是与马桌相关的自己的桌子。
我一直在阅读这里的例子Python Cookbook,它们很棒,但假设一个带有标准标题和数据的csv文件。
使用numpy和genfromtxt仅报告文件中的所有错误,例如。
np.genfromtxt('/home/sayth/Scripts/test.csv',)
ValueError: Some errors were detected !
Line #2 (got 38 columns instead of 5)
Line #3 (got 3 columns instead of 5)
Line #4 (got 6 columns instead of 5)
Line #5 (got 4 columns instead of 5)
Line #6 (got 6 columns instead of 5)
Line #7 (got 4 columns instead of 5)
Line #8 (got 6 columns instead of 5)
Line #9 (got 4 columns instead of 5)
Line #10 (got 4 columns instead of 5)
...
我该怎样处理这样一个文件,保持种族和马匹之间的关系?
答案 0 :(得分:2)
不确定具体细节,但我会从这样的事情开始......
races = []
racefound = False
with open('/home/sayth/Scripts/test.csv') as f:
f_csv = csv.reader(f)
headers = next(f_csv)
for row in f_csv:
if row[0] == 'Race':
if racefound:
races.append(raceinfo)
raceinfo = {'info': row, 'horses': horses}
racefound = True
horses = []
else:
horses.append(row)
更新:
如果您想将Race行用作标题信息,那么这样的内容可能更符合您的要求..
with open('/home/sayth/Scripts/test.csv') as f:
f_csv = csv.reader(f)
headers = next(f_csv)
for row in f_csv:
if row[0] == 'Race':
raceinfo = row
else:
print dict(zip(raceinfo,row))