無法將浮點 NaN 轉換為 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"

我正面臨這個錯誤[無法將浮點 NaN 轉換為整數]

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

問題是 CSV 中有一些空/Nan 值。

您必須為每個值添加一些檢查，例如：

為了

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