如何将CSV数据导入Django模型
我有一些CSV数据,我想使用示例CSV数据导入django模型:
1;"02-01-101101";"Worm Gear HRF 50";"Ratio 1 : 10";"input shaft, output shaft, direction A, color dark green";2;"02-01-101102";"Worm Gear HRF 50";"Ratio 1 : 20";"input shaft, output shaft, direction A, color dark green";
3;"02-01-101103";"Worm Gear HRF 50";"Ratio 1 : 30";"input shaft, output shaft, direction A, color dark green";
4;"02-01-101104";"Worm Gear HRF 50";"Ratio 1 : 40";"input shaft, output shaft, direction A, color dark green";
5;"02-01-101105";"Worm Gear HRF 50";"Ratio 1 : 50";"input shaft, output shaft, direction A, color dark green";
我有一些名为Product的django模型。在产品还有像一些领域name
,description
和price
。我想要这样的东西:
product=Product()product.name = "Worm Gear HRF 70(02-01-101116)"
product.description = "input shaft, output shaft, direction A, color dark green"
product.price = 100
回答:
你想使用python语言中的csv模块,并且应该使用Django的get_or_create方法
with open(path) as f: reader = csv.reader(f)
for row in reader:
_, created = Teacher.objects.get_or_create(
first_name=row[0],
last_name=row[1],
middle_name=row[2],
)
# creates a tuple of the new object or
# current object and a boolean of if it was created
在我的示例中,模型老师具有三个属性first_name,last_name和middle_name。
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