我有 csv file1 ,就像
FLAGSTAFF AZ 50244.67 5.02 KA1_Podium_Garage_S
FLAGSTAFF AZ 33752.13 3.38 KA1_Podium_Garage_S
FLAGSTAFF AZ 11965.5 1.2 KA1_Podium_Garage_S
FLAGSTAFF AZ 3966.48 0.4 KA1_Podium_Garage_S
SEATTLE WA 12646.9 1.26 KA1_Podium_Garage_S
SEATTLE WA 225053.92 22.51 KA1_Podium_Garage_S
SEATTLE WA 23974.3 2.4 KA1_Podium_Garage_S
SEATTLE WA 7036.4 0.7 KA1_Podium_Garage_S
SEATTLE WA 3021.93 0.3 KA1_Podium_Garage_S
我有一个csv文件2,就像,
Alabama AL 1
Alaska AK 2
Arizona AZ 4
Arkansas AR 5
California CA 6
Colorado CO 8
Connecticut CT 9
SEATTLE WA 53
现在我必须将csv file2中的第三列值附加到csv file1, 通过比较第二列
例如它应该是,
AZ代码是4 WA代码是53 无论AZ,WA在我的csv file1中,代码都应该附加到列
中我的输出应该是,
FLAGSTAFF AZ 50244.67 5.02 KA1_Podium_Garage_S 4
FLAGSTAFF AZ 33752.13 3.38 KA1_Podium_Garage_S 4
FLAGSTAFF AZ 11965.5 1.2 KA1_Podium_Garage_S 4
FLAGSTAFF AZ 3966.48 0.4 KA1_Podium_Garage_S 4
SEATTLE WA 12646.9 1.26 KA1_Podium_Garage_S 53
SEATTLE WA 225053.92 22.51 KA1_Podium_Garage_S 53
SEATTLE WA 23974.3 2.4 KA1_Podium_Garage_S 53
SEATTLE WA 7036.4 0.7 KA1_Podium_Garage_S 53
SEATTLE WA 3021.93 0.3 KA1_Podium_Garage_S 53
这是我试过的代码,
with open("/home/sumit/Desktop/CSV_FILE1.csv", "r") as f:
first = {rows[1]: rows[0:] for rows in list(csv.reader(f))}
# compare second csv and append Code
with open("CSVFILE2.csv", "r") as f1:
for row in csv.reader(f1):
if row[1] in first:
first[row[1]].append(row[2])
# convert dict back to list
merged = [(k,) + tuple(v) for k, v in first.items()]
# write list to output csv
with open("output.csv", "w") as f1:
csv.writer(f1).writerows(merged)
输出结束,
AZ FLAGSTAFF AZ 44230.4 4.42 KA1_Podium_Garage_S 4
WA SEATTLE WA 45329.3 4.53 KA1_Podium_Garage_S 53
答案 0 :(得分:2)
此行正在根据您的第一个文件创建一个基于州缩写的字典。这看起来不对,因为字典只能有一次每个键,并且你有多行" AZ"例如。
return this.http.post(url, message, {
headers: new HttpHeaders().set('Content-Type', 'application/json')
.set('Accept', 'application/json')
.set('Access-Control-Allow-Headers', 'Content-Type')
});
相反,您应该根据第二个文件创建词典:
first = { rows[1]: rows[0:] for rows in list(csv.reader(f)) }
然后,循环遍历第一个文件,并将相应的代码附加到每一行。
with open("CSVFILE2.csv", "r") as f1:
code = { row[1]: row[2] for row in csv.reader(f1) }
将合并后的数据写出来。
with open("/home/sumit/Desktop/CSV_FILE1.csv", "r") as f:
merged = [ row + [code[row[1]]] for row in csv.reader(f) ]
的解释:
如果行是row + [code[row[1]]]
,那么
["FLAGSTAFF", "AZ", 50244.67, 5.02, "KA1_Podium_Garage_S"]
是row[1]
,"AZ"
是code[row[1]]
,code["AZ"]
,4
是列表[code[row[1]]]
[4]
是列表并置,生成所需的新行值:row + [code[row[1]]