我正在使用periscopedata进行计算,我想将某些表转置到所需的输出。
即)
#healthy host alarm
resource "aws_cloudwatch_metric_alarm" "health" {
alarm_name = "${var.tag_app}_healthy_host"
comparison_operator = "LessThanThreshold"
evaluation_periods = "1"
metric_name = "HealthyHostCount"
namespace = "AWS/ApplicationELB"
period = "60"
statistic = "Maximum"
threshold = "1"
alarm_description = "Healthy host count for EC2 machine"
alarm_actions = ["${data.aws_sns_topic.blabla.arn}"]
ok_actions = ["${data.aws_sns_topic.blabla.arn}"]
dimensions = {
TargetGroup = "${aws_lb_target_group.alb_target.arn_suffix}"
}
}
我希望结果看起来像这样
F.name Date Result
gross_sale 2015/01/01 450
gross_sale 2015/01/02 554
gross_sale 2015/01/03 439
sale_disc 2015/01/01 31
sale_dsic 2015/01/03 22
periscopedata支持pandas Dataframes,我在下面尝试过,但这会引发错误。
F.name 2015/01/01 2015/01/02 2015/01/03
gross_sale 450 554 439
sale_disc 31 0 22
指导我如何调整python代码,以便获得所需的正确结果。
答案 0 :(得分:0)
df = pd.DataFrame({"F.name": ["gross_sale", "gross_sale", "gross_sale", "sale_disc", "sale_disc"],
"Date": ["2015/01/01", "2015/01/02", "2015/01/03", "2015/01/01", "2015/01/03"],
"Result": [450, 554, 439, 31, 22]})
df.pivot(index='F.name', columns='Date', values='Result').fillna(0)