我有两个CSV文件，每个文件有10列，第一列称为“主键” .
我需要使用Python来查找两个CSV文件之间的公共区域 . 例如，我应该能够检测到CSV1中的行27-45等于CSV2中的行125-145，依此类推 .
我只是比较主键（第一列） . 其余数据不考虑进行比较 . 我需要在两个单独的CSV文件中提取这些公共区域（一个用于CSV1，一个用于CSV2） .
我已经解析并将两个CSV文件的行存储在两个'list of lists'， lstCAN_LOG_TABLE 和 lstSHADOW_LOG_TABLE 中，因此问题会缩小到比较这两个列表列表 .
我目前假设的是，如果有10个后续比赛（ MAX_COMMON_THRESHOLD ），我已到达公共区域的开头 . 我不能记录单行（比较真实），因为会有区域相等（按主键）和我需要识别的区域 .
for index in range(len(lstCAN_LOG_TABLE)):
for l_index in range(len(lstSHADOW_LOG_TABLE)):
if(lstSHADOW_LOG_TABLE[l_index][1] == lstCAN_LOG_TABLE[index][1]): #Consider for comparison only CAN IDs
index_can_log = index #Position where CAN Log is to be compared
index_shadow_log = l_index #Position from where CAN Shadow Log is to be considered
start = index_shadow_log
if((index_shadow_log + MAX_COMMON_THRESHOLD) <= (input_file_two_row_count-1)):
end = index_shadow_log + MAX_COMMON_THRESHOLD
else:
end = (index_shadow_log) + ((input_file_two_row_count-1) - (index_shadow_log))
can_index = index
bPreScreened = 1
for num in range(start,end):
if(lstSHADOW_LOG_TABLE[num][1] == lstCAN_LOG_TABLE[can_index][1]):
if((can_index + 1) < (input_file_one_row_count-1)):
can_index = can_index + 1
else:
break
else:
bPreScreened = 0
print("No Match")
break
#we might have found start of common region
if(bPreScreened == 1):
print("Start={0} End={1} can_index={2}".format(start,end,can_index))
for number in range(start,end):
if(lstSHADOW_LOG_TABLE[number][1] == lstCAN_LOG_TABLE[index][1]):
writer_two.writerow(lstSHADOW_LOG_TABLE[number][0])
writer_one.writerow(lstCAN_LOG_TABLE[index][0])
if((index + 1) < (input_file_one_row_count-1)):
index = index + 1
else:
dump_file.close()
print("\nCommon Region in Two CSVs identifed and recorded\n")
return
dump_file.close()
print("\nCommon Region in Two CSVs identifed and recorded\n")
我的输出很奇怪 . 即使第一个CSV文件只有1880行，但在第一个CSV的公共区域CSV中，我得到的条目也多得多 . 我没有得到理想的输出 .
EDITED FROM HERE
CSV1:
216 0.000238225 F4 41 C0 FB 28 0 0 0 MS CAN
109 0.0002256 15 8B 31 0 8 43 58 0 HS CAN
216 0.000238025 FB 47 C6 1 28 0 0 0 MS CAN
340 0.000240175 0A 18 0 C2 0 0 6F FF MS CAN
216 0.000240225 24 70 EF 28 28 0 0 0 MS CAN
216 0.000236225 2B 77 F7 2F 28 0 0 0 MS CAN
216 0.0002278 31 7D FD 35 28 0 0 0 MS CAN
CSV2:
216 0.0002361 0F 5C DB 14 28 0 0 0 MS CAN
216 0.000236225 16 63 E2 1B 28 0 0 0 MS CAN
109 0.0001412 16 A3 31 0 8 63 58 0 HS CAN
216 0.000234075 1C 6A E9 22 28 0 0 0 MS CAN
40A 0.000259925 C1 1 46 54 30 44 47 36 HS CAN
4A 0.000565975 2 0 0 0 0 0 0 C0 MS CAN
340 0.000240175 0A 18 0 C2 0 0 6F FF MS CAN
216 0.000240225 24 70 EF 28 28 0 0 0 MS CAN
216 0.000236225 2B 77 F7 2F 28 0 0 0 MS CAN
216 0.0002278 31 7D FD 35 28 0 0 0 MS CAN
EXPECTED OUTPUT CSV1:
340 0.000240175 0A 18 0 C2 0 0 6F FF MS CAN
216 0.000240225 24 70 EF 28 28 0 0 0 MS CAN
216 0.000236225 2B 77 F7 2F 28 0 0 0 MS CAN
216 0.0002278 31 7D FD 35 28 0 0 0 MS CAN
EXPECTED OUTPUT CSV2:
340 0.000240175 0A 18 0 C2 0 0 6F FF MS CAN
216 0.000240225 24 70 EF 28 28 0 0 0 MS CAN
216 0.000236225 2B 77 F7 2F 28 0 0 0 MS CAN
216 0.0002278 31 7D FD 35 28 0 0 0 MS CAN
OBSERVED OUTPUT CSV1
340 0.000240175 0A 18 0 C2 0 0 6F FF MS CAN
216 0.000240225 24 70 EF 28 28 0 0 0 MS CAN
216 0.000236225 2B 77 F7 2F 28 0 0 0 MS CAN
216 0.0002278 31 7D FD 35 28 0 0 0 MS CAN
还有成千上万的冗余行数据
EDITED - SOLVED AS PER ADVICE (CHANGED FOR TO WHILE):
LEARNING: 在Python中，FOR循环索引无法在RunTime中更改
dump_file=open("MATCH_PATTERN.txt",'w+')
print("Number of Entries CAN LOG={0}".format(len(lstCAN_LOG_TABLE)))
print("Number of Entries SHADOW LOG={0}".format(len(lstSHADOW_LOG_TABLE)))
index = 0
while(index < (input_file_one_row_count - 1)):
l_index = 0
while(l_index < (input_file_two_row_count - 1)):
if(lstSHADOW_LOG_TABLE[l_index][1] == lstCAN_LOG_TABLE[index][1]): #Consider for comparison only CAN IDs
index_can_log = index #Position where CAN Log is to be compared
index_shadow_log = l_index #Position from where CAN Shadow Log is to be considered
start = index_shadow_log
can_index = index
if((index_shadow_log + MAX_COMMON_THRESHOLD) <= (input_file_two_row_count-1)):
end = index_shadow_log + MAX_COMMON_THRESHOLD
else:
end = (index_shadow_log) + ((input_file_two_row_count-1) - (index_shadow_log))
bPreScreened = 1
for num in range(start,end):
if(lstSHADOW_LOG_TABLE[num][1] == lstCAN_LOG_TABLE[can_index][1]):
if((can_index + 1) < (input_file_one_row_count-1)):
can_index = can_index + 1
else:
break
else:
bPreScreened = 0
break
#we might have found start of common region
if(bPreScreened == 1):
print("Shadow Start={0} Shadow End={1} CAN INDEX={2}".format(start,end,index))
for number in range(start,end):
if(lstSHADOW_LOG_TABLE[number][1] == lstCAN_LOG_TABLE[index][1]):
writer_two.writerow(lstSHADOW_LOG_TABLE[number][0])
writer_one.writerow(lstCAN_LOG_TABLE[index][0])
if((index + 1) < (input_file_one_row_count-1)):
index = index + 1
if((l_index + 1) < (input_file_two_row_count-1)):
l_index = l_index + 1
else:
dump_file.close()
print("\nCommon Region in Two CSVs identifed and recorded\n")
return
else:
l_index = l_index + 1
else:
l_index = l_index + 1
index = index + 1
dump_file.close()
print("\nCommon Region in Two CSVs identifed and recorded\n")
1 回答
index是for循环中的迭代器 . 如果你在循环中更改它，它将在每次迭代后重新分配 .比如，
for循环中的index = 5和index += 1执行3次 . 现在index = 8. 但是在此迭代结束后，当您的代码返回for时，索引将被分配给index x = 6.试试以下示例：
输出将是：
要解决此问题，您可能希望将
for循环更改为while循环EDIT: 如果我在两个文件中没有't understand wrong, you were trying to find '相同的列并存储它们 . 如果是这种情况，实际上您可以使用以下代码轻松完成工作：