Graph - Line section

A line graph section displays time-series data as continuous lines, making it ideal for visualizing trends and patterns over time. Unlike grids that show tabular data, line graphs provide a visual representation of how values change across time intervals.

For line graphs, you need a query that returns:

• Time values for the X-axis (typically grouped into intervals)
• One or more numeric fields for the Y-axis (the values to plot)

The graph automatically connects data points with lines, allowing you to see trends, spikes, and patterns at a glance. Multiple fields can be plotted on the same graph for comparison.

For more info on how to write queries, check the query differences for database and query examples

warning

When creating a linegraph query, you always need a "time" field. This is case sensitive for timescale and does not work without it.

Basic example

This example shows a single field plotted over time with 1-minute intervals. The query aggregates power values into 1-minute buckets and displays them as a continuous line.

SELECT 
  time AS "time",
  MEAN("InputBuffer1_PowerKw") AS "Buffer 1 Power"
FROM "oneWeek"."Line1"
WHERE time >= '2026-05-03T10:00:00+02:00'
  AND time < '2026-05-03T10:15:00+02:00'
GROUP BY TIME(1m)

SELECT 
  time_bucket('1 minute', time) AS "time",
  AVG("inputbuffer1_powerkw") AS "Buffer 1 Power"
FROM "docsdemo_timescale_wide"."line1"
WHERE time >= '2026-05-03 10:00:00+02'
  AND time < '2026-05-03 10:15:00+02'
GROUP BY time_bucket('1 minute', time)

SELECT 
  time_bucket('1 minute', time) AS "time",
  AVG(value) AS "Buffer 1 Power"
FROM "line1"
WHERE name = 'InputBuffer1_PowerKw'
  AND time >= '2026-05-03 10:00:00+02'
  AND time < '2026-05-03 10:15:00+02'
GROUP BY time_bucket('1 minute', time)

WITH wide_data AS (
  SELECT
    time_bucket('1 minute', time) AS bucket_time,
    AVG(CASE WHEN name = 'InputBuffer1_PowerKw' THEN value END) AS buffer1
  FROM "line1"
  WHERE time >= '2026-05-03 10:00:00+02'
    AND time < '2026-05-03 10:15:00+02'
    AND name = 'InputBuffer1_PowerKw'
  GROUP BY bucket_time
)
SELECT
  bucket_time AS "time",
  buffer1 AS "Buffer 1 Power"
FROM wide_data

Multiple lines

This example plots two fields on the same graph, allowing you to compare trends between Buffer 1 and Buffer 2 power consumption over time.

SELECT 
  time AS "time",
  MEAN("InputBuffer1_PowerKw") AS "Buffer 1 Power",
  MEAN("InputBuffer2_PowerKw") AS "Buffer 2 Power"
FROM "oneWeek"."Line1"
WHERE time >= '2026-05-03T10:00:00+02:00'
  AND time < '2026-05-03T10:15:00+02:00'
GROUP BY TIME(1m)

SELECT 
  time_bucket('1 minute', time) AS "time",
  AVG("inputbuffer1_powerkw") AS "Buffer 1 Power",
  AVG("inputbuffer2_powerkw") AS "Buffer 2 Power"
FROM "docsdemo_timescale_wide"."line1"
WHERE time >= '2026-05-03 10:00:00+02'
  AND time < '2026-05-03 10:15:00+02'
GROUP BY time_bucket('1 minute', time)

SELECT 
  time_bucket('1 minute', time) AS "time",
  AVG(CASE WHEN name = 'InputBuffer1_PowerKw' THEN value END) AS "Buffer 1 Power",
  AVG(CASE WHEN name = 'InputBuffer2_PowerKw' THEN value END) AS "Buffer 2 Power"
FROM "line1"
WHERE time >= '2026-05-03 10:00:00+02'
  AND time < '2026-05-03 10:15:00+02'
  AND name IN ('InputBuffer1_PowerKw', 'InputBuffer2_PowerKw')
GROUP BY time_bucket('1 minute', time)

WITH wide_data AS (
  SELECT
    time_bucket('1 minute', time) AS bucket_time,
    AVG(CASE WHEN name = 'InputBuffer1_PowerKw' THEN value END) AS buffer1,
    AVG(CASE WHEN name = 'InputBuffer2_PowerKw' THEN value END) AS buffer2
  FROM "line1"
  WHERE time >= '2026-05-03 10:00:00+02'
    AND time < '2026-05-03 10:15:00+02'
    AND name IN ('InputBuffer1_PowerKw', 'InputBuffer2_PowerKw')
  GROUP BY bucket_time
)
SELECT
  bucket_time AS "time",
  buffer1 AS "Buffer 1 Power",
  buffer2 AS "Buffer 2 Power"
FROM wide_data

Min/Max range visualization

This example shows minimum, maximum, and average values, which can be useful for visualizing data variability and ranges on the graph.

SELECT 
  time AS "time",
  MIN("InputBuffer1_PowerKw") AS "Min Power",
  MEAN("InputBuffer1_PowerKw") AS "Avg Power",
  MAX("InputBuffer1_PowerKw") AS "Max Power"
FROM "oneWeek"."Line1"
WHERE time >= '2026-05-03T10:00:00+02:00'
  AND time < '2026-05-03T10:15:00+02:00'
GROUP BY TIME(5s)

SELECT 
  time_bucket('5 seconds', time) AS "time",
  MIN("inputbuffer1_powerkw") AS "Min Power",
  AVG("inputbuffer1_powerkw") AS "Avg Power",
  MAX("inputbuffer1_powerkw") AS "Max Power"
FROM "docsdemo_timescale_wide"."line1"
WHERE time >= '2026-05-03 10:00:00+02'
  AND time < '2026-05-03 10:15:00+02'
GROUP BY time_bucket('5 seconds', time)

SELECT 
  time_bucket('5 seconds', time) AS "time",
  MIN(value) AS "Min Power",
  AVG(value) AS "Avg Power",
  MAX(value) AS "Max Power"
FROM "line1"
WHERE name = 'InputBuffer1_PowerKw'
  AND time >= '2026-05-03 10:00:00+02'
  AND time < '2026-05-03 10:15:00+02'
GROUP BY time_bucket('5 seconds', time)

WITH wide_data AS (
  SELECT
    time_bucket('5 seconds', time) AS bucket_time,
    CASE WHEN name = 'InputBuffer1_PowerKw' THEN value END AS power_value
  FROM "line1"
  WHERE time >= '2026-05-03 10:00:00+02'
    AND time < '2026-05-03 10:15:00+02'
    AND name = 'InputBuffer1_PowerKw'
)
SELECT
  bucket_time AS "time",
  MIN(power_value) AS "Min Power",
  AVG(power_value) AS "Avg Power",
  MAX(power_value) AS "Max Power"
FROM wide_data
GROUP BY bucket_time