diff --git a/src/homepageExperience/components/steps/python/ExecuteAggregateQuerySql.tsx b/src/homepageExperience/components/steps/python/ExecuteAggregateQuerySql.tsx index 8a6e260bb9..e4d300dabd 100644 --- a/src/homepageExperience/components/steps/python/ExecuteAggregateQuerySql.tsx +++ b/src/homepageExperience/components/steps/python/ExecuteAggregateQuerySql.tsx @@ -19,16 +19,16 @@ type OwnProps = { export const ExecuteAggregateQuerySql = (props: OwnProps) => { const {bucket} = props - const sqlSnippet = `SELECT mean(count) -FROM 'census' -WHERE time > now() - '10m'` + const sqlSnippet = `SELECT mean(ants) as ant_mean, mean(bees) as bee_mean + FROM census + WHERE time >= now() - 24h` - const querySnippet = `query = """SELECT mean(count) -FROM 'census' -WHERE time > now() - '10m'""" + const querySnippet = `query = """SELECT mean(ants) as ant_mean, mean(bees) as bee_mean + FROM census + WHERE time >= now() - 24h""" # Execute the query -table = client.query(query=query, database="${bucket}", language='influxql') ) +table = client.query(query=query, database="${bucket}", language='influxql') # Convert to dataframe df = table.to_pandas().sort_values(by="time") @@ -40,7 +40,7 @@ print(df)
In this example, we use the{' '}
mean() function
- to calculate the average value of data points in the last 10 minutes.
+ to calculate the average value of data points in the last 24 hours.
Run the following:
diff --git a/src/homepageExperience/components/steps/python/ExecuteQuerySql.tsx b/src/homepageExperience/components/steps/python/ExecuteQuerySql.tsx
index cdc8dfd439..803590a51c 100644
--- a/src/homepageExperience/components/steps/python/ExecuteQuerySql.tsx
+++ b/src/homepageExperience/components/steps/python/ExecuteQuerySql.tsx
@@ -15,17 +15,15 @@ export const ExecuteQuerySql = (props: OwnProps) => {
const {bucket} = props
const sqlSnippet = `SELECT *
-FROM 'census'
-WHERE time >= now() - interval '1 hour'
-AND ('bees' IS NOT NULL OR 'ants' IS NOT NULL)`
+FROM census
+WHERE time >= now() - interval '1 hour'`
const query = `query = """SELECT *
-FROM 'census'
-WHERE time >= now() - interval '24 hours'
-AND ('bees' IS NOT NULL OR 'ants' IS NOT NULL)"""
+FROM census
+WHERE time >= now() - interval '24 hours'"""
# Execute the query
-table = client.query(query=query, database="${bucket}", language='sql') )
+table = client.query(query=query, database="${bucket}", language='sql')
# Convert to dataframe
df = table.to_pandas().sort_values(by="time")