Update metric.py

Anand Sanmukhani · web-flow · commit 690957550f6b · 2019-07-29T22:10:30.000-04:00
When converting json to a pandas df, it should raise errors when converting string to numbers instead of just ignoring them. This was updated in pandas v0.25.0
diff --git a/prometheus_api_client/metric.py b/prometheus_api_client/metric.py
@@ -64,7 +64,7 @@ def __init__(self, metric, oldest_data_datetime=None):
                 metric["values"] = [metric["value"]]
 
             self.metric_values = pandas.DataFrame(metric["values"], columns=["ds", "y"]).apply(
-                pandas.to_numeric, args=({"errors": "coerce"})
+                pandas.to_numeric, errors="raise"
             )
             self.metric_values["ds"] = pandas.to_datetime(self.metric_values["ds"], unit="s")
 

Original file line number	Diff line number	Diff line change
`@@ -64,7 +64,7 @@ def __init__(self, metric, oldest_data_datetime=None):`
`64`	`64`	`metric["values"] = [metric["value"]]`
`65`	`65`
`66`	`66`	`self.metric_values = pandas.DataFrame(metric["values"], columns=["ds", "y"]).apply(`
`67`		`- pandas.to_numeric, args=({"errors": "coerce"})`
	`67`	`+ pandas.to_numeric, errors="raise"`
`68`	`68`	`)`
`69`	`69`	`self.metric_values["ds"] = pandas.to_datetime(self.metric_values["ds"], unit="s")`
`70`	`70`