def convertCounterToRate(timelyMetric, analyticConfig):
# Adjust counter metric into a rate metric
df = timelyMetric.getDataFrame()
columnNames = df[analyticConfig.groupByColumn].unique()
df = DataOperations.pivot(df, timelyMetric.metric, analyticConfig.groupByColumn)
df = DataOperations.resample(df, analyticConfig.sample, how=analyticConfig.how)
for c in columnNames:
df[c] = df[c].diff(1) / (analyticConfig.sample_minutes * 60 * 1000)
df = DataOperations.unpivot(df, timelyMetric.metric, analyticConfig.groupByColumn)
df = df.dropna()
timelyMetric.setDataFrame(df)
