使用提供者块
provider "azurerm" {
subscription_id = var.subscription_id
version = "=1.44"
}
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并成功登录后
az login
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跑步
terraform plan
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我收到以下错误:
Error: Error building account: Error getting authenticated object ID: Error parsing json result from the Azure CLI: Error waiting for the Azure CLI: exit status 2
on main.tf line 21, in provider "azurerm":
21: provider "azurerm" {
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更新:
如果我将提供程序块更改为:
provider "azurerm" {
version = "~> 1.43"
}
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并设置环境变量
ARM_USE_MSI=true
ARM_SUBSCRIPTION_ID=<...>
ARM_TENANT_ID=<...>
HTTP_PROXY=<...>
HTTPS_PROXY=<...>
http_proxy=<...>
https_proxy=<...>
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比执行 terraform 计划后,我收到以下错误:
与 169.254.169.254 的连接失败。没有到主机的路由。
在我看来,这很奇怪,服务端点 …
给定一个熊猫数据框,我想根据其中一列排除与异常值(Z 值 = 3)相对应的行。
数据框如下所示:
df.dtypes
_id object
_index object
_score object
_source.address object
_source.district object
_source.price float64
_source.roomCount float64
_source.size float64
_type object
sort object
priceSquareMeter float64
dtype: object
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对于线路:
dff=df[(np.abs(stats.zscore(df)) < 3).all(axis='_source.price')]
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引发以下异常:
-------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-68-02fb15620e33> in <module>()
----> 1 dff=df[(np.abs(stats.zscore(df)) < 3).all(axis='_source.price')]
/opt/anaconda3/lib/python3.6/site-packages/scipy/stats/stats.py in zscore(a, axis, ddof)
2239 """
2240 a = np.asanyarray(a)
-> 2241 mns = a.mean(axis=axis)
2242 sstd = a.std(axis=axis, ddof=ddof)
2243 if axis and mns.ndim < a.ndim:
/opt/anaconda3/lib/python3.6/site-packages/numpy/core/_methods.py in …Run Code Online (Sandbox Code Playgroud)