我有我的模特
class Essai_Temperature(models.Model):
name = models.ForeignKey(Material, verbose_name=_('name')) #
nature_unit = models.ForeignKey(Property, verbose_name=_('category')) #
choix = ChainedForeignKey(Physic, verbose_name=_('properties'), null=True, blank=True,
related_name='Essai_Temperature_choix',
chained_field="nature_unit",
chained_model_field="name",
show_all=False,
auto_choose=True)
valT= models.FloatField(_('temperature'),blank=True, null=False)
val10= models.FloatField(_('value'), blank=True, null=False) # valeur numerique min
val_ref= models.CharField(_('reference of the data'), max_length=50, default='0')
我想读取一个csv文件并将数据写入数据库
我已写入管理文件
def import_csv(modeladmin, request, queryset):
import csv, sys
filename = 'C:/Users/patrice/Documents/base/data50.csv'
dataReader = csv.reader(open(filename), delimiter=';', quotechar='"')
for row in dataReader:
try:
essai_temperature = Essai_Temperature()
essai_temperature.name__name = row[1]
essai_temperature.nature_unit__name = row[2]
essai_temperature.choix__lapropriete = row[3]
essai_temperature.valT = float(row[4]) if row[4] is not None else None
essai_temperature.val10 = float(row[5]) if row[5] is not None else None
essai_temperature.val_ref = row[6]
essai_temperature.save()
except csv.Error as e:
sys.exit('file %s, line %d: %s' % (filename, dataReader.line_num, e))
dataReader.close()
它不起作用,我有错误:
例外值:
无法将字符串转换为float:valT
我不明白为什么?