无法将浮点 NaN 转换为 integer

Question

I am trying to upload CSV data in MySQL table but my CSV has some empty columns and when I'm uploading my CSV all data before the empty columns are uploading but after that CSV upload getting a stop

for i in range(m * chunksize, (m * chunksize) + chunksize):
    company = pd.isnull(df.loc[i]['company'] or df.loc[i]['name'] or df.loc[i]['observed_sales'] or df.loc[i]['observed_transactions'])
    if company == True : 
          df.loc[i]['company'] = ''
          df.loc[i]['name'] = ''
          y = np.nan_to_num(df.loc[i]['observed_sales'])
          z = np.nan_to_num(df.loc[i]['observed_transactions'])
          df.loc[i]['observed_sales'] = df.loc[i]['observed_sales'].replace('nan', np.nan).interpolate(0.0)
          df.loc[i]['observed_transactions'] = df.loc[i]['observed_transactions'].replace('nan', np.nan).interpolate(0.0)
          Company.objects.update_or_create(company_name=df.loc[i]['company'], company_full_name=df.loc[i]['name'], website_url=df.loc[i]['website'])
          obj = Company.objects.latest('company_id')
          id = obj.company_id
          TransactionDetails_Monthly.objects.update_or_create(company_id=id, observed_sales=y, observed_transactions=z, observed_customers=df.loc[i]['observed_customers'], sales_per_customer=df.loc[i]['sales_per_customer'], txns_per_customer=df.loc[i]['txns_per_customer'], avg_txn_value=df.loc[i]['avg_txn_value'], month=df.loc[i]['month'])
          msg = "Data is inserted successfully"

我正面临这个错误[无法将浮点 NaN 转换为整数]

我也想展示我的models.py

class Company(models.Model):
    company_id =  models.AutoField(primary_key=True)
    category = models.ForeignKey('Category', on_delete=models.CASCADE, null=True) #ForeignKey
    company_name = models.CharField(max_length=255,null=True)
    company_full_name = models.CharField(max_length=255, null=True)
    company_name_url = models.CharField(max_length=255, null=True)
    website_url = models.CharField(max_length=255, null=True)
    founded_date =  models.DateField(null=True)       
    founded_date_precision =  models.DateField(null=True)       
    total_funding_amount = models.DecimalField(max_digits=13, decimal_places=2,  null=True)
    total_funding_amount_currency = models.DecimalField(max_digits=13, decimal_places=2,  null=True) 
    total_funding_amount_currency_usd = models.DecimalField(max_digits=13, decimal_places=2,  null=True) 

class TransactionDetails_Monthly(models.Model):
    transaction_id = models.AutoField(primary_key=True)
    company = models.ForeignKey('Company' , on_delete = models.CASCADE, null=True)   #ForeignKey
    month = models.DateField()
    observed_sales = models.IntegerField()
    observed_transactions = models.IntegerField()
    observed_customers = models.IntegerField()
    sales_per_customer = models.FloatField(null=True) 
    txns_per_customer = models.FloatField(null=True, blank=True, default=None)
    avg_txn_value = models.DecimalField(max_digits=13, decimal_places=2, blank=True, null=True)

Answer 1

问题是 CSV 中有一些空/Nan 值。

您必须为每个值添加一些检查，例如：

为了

z = np.nan_to_num(df.loc[i]['observed_transactions'])

你可以做：

if 'observed_transactions' in np.nan_to_num(df.loc[i]:
    if not np.nan_to_num(df.loc[i]['observed_transactions']) == 'NaN':
        z = np.nan_to_num(df.loc[i]['observed_transactions'])
    else:
        z = None
else:
    z = None