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关于Windows问题的Git(Git on Windows problems)

 我正在Windows 8上运行Git。 我有Git bash工作没有问题bitbucket。 但是，我只想使用命令提示符。 我可以从命令提示符运行git命令，但由于某种原因，感觉ssh键不同步，几乎如果命令提示符试图使用bash正在使用的东西。 尝试从命令提示符执行简单的git pull时得到的错误是  
 Permission denied (publickey). fatal: Could not read from remote repository. Please make sure you have the correct access rights and the repository exists.  
 我从git bash运行命令没有任何问题。 更令人抓狂的是，这是几周前的工作。 我不记得做任何会改变这种情况的事情。 也许最多重启一次。  
 有任何想法吗？ 

I am running Git on my Windows 8 vm. I have Git bash working no problem with bitbucket. However, I just want to use Command Prompt. I can run git commands from Command Prompt but for some reason it feels like the ssh keys are out of sync, almost if the command prompt is trying to use something other than what bash is using. The error I get when trying to do a simple git pull from command prompt is 
 Permission denied (publickey). fatal: Could not read from remote repository. Please make sure you have the correct access rights and the repository exists. 
 I don't have any issues running the command from git bash. What is even more maddening is that this was working a couple weeks ago. I don't recall doing anything that would have changed this. Maybe a reboot at most.  
Any ideas?

原文：https://stackoverflow.com/questions/30769308

更新时间：2023-06-06 09:06

最满意答案

 正如AKS所说，您需要在django模型中为BMI创建字段，然后使用保存更新视图中的字段。 这是你如何做到的：  
class Health(models.Model):
    Name = models.CharField(max_length=30,null=True,blank=True)
    Age = models.IntegerField(null=True,blank=True)
    Weight = models.FloatField(null=True,blank=True)
    Height = models.FloatField(null=True,blank=True)
    Sugar = models.FloatField(null=True,blank=True)
    BMI =  models.FloatField(null=True,blank=True)
    def __str__(self):
        return self.Name
 
 在你的观点中这样做：  
@api_view(['GET'])
def my_view(request,id):
    qs = Health.objects.filter(id = id)
    df = read_frame(qs)
    df['x-Mean'] = abs(df['Age'] - df['Age'].mean())
    df['1.96*std'] = 1.96*df['Age'].std()
    df['Outlier'] = abs(df['Age'] - df['Age'].mean()) > 1.96*df['Age'].std()
    df['BMI'] = df['Weight']/(df['Height']/100)**2

    # once the BMI is caluculated update the DB row with the value
    qs.BMI = df['BMI']
    qs.save()


    a = df.fillna(0)
    a = a.to_dict(orient = 'records')

    return Response(a)
 
 尝试这个：  
 查看功能：  
@api_view(['GET'])
def my_view(request,id):
    qs = Health.objects.filter(id = id)
    l = len(qs)

    if l>0:
        for x in qs:
            df = read_frame(x)
            df['x-Mean'] = abs(df['Age'] - df['Age'].mean())
            df['1.96*std'] = 1.96*df['Age'].std()
            df['Outlier'] = abs(df['Age'] - df['Age'].mean()) > 1.96*df['Age'].std()
            df['BMI'] = df['Weight']/(df['Height']/100)**2


            # once the BMI is caluculated update the DB row with the value
            x.BMI = df['BMI']
            x.save()

            a = df.fillna(0)
            a = a.to_dict(orient = 'records')


    else:
        print "no rows exists for the query "
 
 希望这是有用的。 

As said by AKS you need to create field for BMI in django models then updat e that field in your views using save. Here is how you do it: 
class Health(models.Model):
    Name = models.CharField(max_length=30,null=True,blank=True)
    Age = models.IntegerField(null=True,blank=True)
    Weight = models.FloatField(null=True,blank=True)
    Height = models.FloatField(null=True,blank=True)
    Sugar = models.FloatField(null=True,blank=True)
    BMI =  models.FloatField(null=True,blank=True)
    def __str__(self):
        return self.Name
 
In your views do this: 
@api_view(['GET'])
def my_view(request,id):
    qs = Health.objects.filter(id = id)
    df = read_frame(qs)
    df['x-Mean'] = abs(df['Age'] - df['Age'].mean())
    df['1.96*std'] = 1.96*df['Age'].std()
    df['Outlier'] = abs(df['Age'] - df['Age'].mean()) > 1.96*df['Age'].std()
    df['BMI'] = df['Weight']/(df['Height']/100)**2

    # once the BMI is caluculated update the DB row with the value
    qs.BMI = df['BMI']
    qs.save()


    a = df.fillna(0)
    a = a.to_dict(orient = 'records')

    return Response(a)
 
Try this: 
view function: 
@api_view(['GET'])
def my_view(request,id):
    qs = Health.objects.filter(id = id)
    l = len(qs)

    if l>0:
        for x in qs:
            df = read_frame(x)
            df['x-Mean'] = abs(df['Age'] - df['Age'].mean())
            df['1.96*std'] = 1.96*df['Age'].std()
            df['Outlier'] = abs(df['Age'] - df['Age'].mean()) > 1.96*df['Age'].std()
            df['BMI'] = df['Weight']/(df['Height']/100)**2


            # once the BMI is caluculated update the DB row with the value
            x.BMI = df['BMI']
            x.save()

            a = df.fillna(0)
            a = a.to_dict(orient = 'records')


    else:
        print "no rows exists for the query "
 
Hope this was useful.

关于Windows问题的Git(Git on Windows problems)

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