See more data in graph

[markuswesterberg]

Hi,

I have below code for my card:

type: custom:apexcharts-card
yaxis:

• id: value
  min: ~0
  max: 10
  apex_config:
  tickAmount: 4
  decimalsInFloat: 2
• id: price
  opposite: true
  min: ~0
  max: 400
  apex_config:
  tickAmount: 4
  decimalsInFloat: 2
  header:
  show: true
  title: Elpris och konsumption
  show_states: true
  colorize_states: false
  graph_span: 48h
  span:
  start: day
  offset: '-1day'
  now:
  show: true
  label: Nu
  experimental:
  color_threshold: true
  series:
• entity: sensor.nordpool_kwh_se3_sek_0_10_0
  name: Elpris just nu
  yaxis_id: price
  type: column
  color: grey
  color_threshold:
  • value: -100
    color: '#0000ff'
  • value: -93
    color: '#0015ff'
  • value: -86
    color: '#002aff'
  • value: -79
    color: '#0040ff'
  • value: -72
    color: '#0055ff'
  • value: -65
    color: '#006aff'
  • value: -58
    color: '#0080ff'
  • value: -51
    color: '#0095ff'
  • value: -44
    color: '#00aaff'
  • value: -37
    color: '#00c0ff'
  • value: -30
    color: '#00d5ff'
  • value: -23
    color: '#00eaff'
  • value: -16
    color: '#00ffff'
  • value: -9
    color: '#00ffea'
  • value: -2
    color: '#00ffd5'
  • value: 5
    color: '#00ffc0'
  • value: 12
    color: '#00ffaa'
  • value: 19
    color: '#00ff95'
  • value: 26
    color: '#00ff80'
  • value: 29
    color: '#00ff6a'
  • value: 32
    color: '#00ff55'
  • value: 35
    color: '#00ff40'
  • value: 38
    color: '#00ff2a'
  • value: 41
    color: '#00ff15'
  • value: 44
    color: '#00ff00'
  • value: 47
    color: '#15ff00'
  • value: 50
    color: '#2aff00'
  • value: 53
    color: '#40ff00'
  • value: 56
    color: '#55ff00'
  • value: 59
    color: '#6aff00'
  • value: 62
    color: '#80ff00'
  • value: 65
    color: '#95ff00'
  • value: 68
    color: '#aaff00'
  • value: 71
    color: '#c0ff00'
  • value: 74
    color: '#d5ff00'
  • value: 77
    color: '#eaff00'
  • value: 80
    color: '#ffff00'
  • value: 83
    color: '#ffff00'
  • value: 86
    color: '#ffff00'
  • value: 95
    color: '#ffea00'
  • value: 100
    color: '#ffd500'
  • value: 105
    color: '#ffc000'
  • value: 110
    color: '#ffaa00'
  • value: 115
    color: '#ff9500'
  • value: 120
    color: '#ff8000'
  • value: 130
    color: '#ff6a00'
  • value: 140
    color: '#ff5500'
  • value: 150
    color: '#ff4000'
  • value: 160
    color: '#ff2a00'
  • value: 170
    color: '#ff1500'
  • value: 180
    color: '#ff0000'
  • value: 190
    color: '#f80000'
  • value: 200
    color: '#eb0000'
  • value: 210
    color: '#e00000'
  • value: 220
    color: '#d60000'
  • value: 230
    color: '#cc0000'
  • value: 240
    color: '#c10000'
  • value: 250
    color: '#b60000'
  • value: 260
    color: '#ac0000'
  • value: 270
    color: '#a10000'
  • value: 280
    color: '#990000'
  • value: 290
    color: '#8e0000'
  • value: 300
    color: '#830000'
  • value: 310
    color: '#800000'
    opacity: 0.8
    stroke_width: 7
    float_precision: 3
    group_by:
    func: max
    duration: 1h
    fill: last
• entity: sensor.nordpool_kwh_se3_sek_0_10_0_average
  name: Medelspotpris
  yaxis_id: price
  type: line
  curve: stepline
  color: blue
  stroke_width: 1.5
  unit: öre/kWh
  float_precision: 2
• entity: sensor.importerade_kwh_h
  yaxis_id: value
  type: line
  color: grey
  color_threshold:
  • value: 0
    color: red
    opacity: 1
    stroke_width: 1.7
    unit: kWh
    name: Förbrukning denna timme
    float_precision: 2
    group_by:
    duration: 1h
    func: max
    fill: zero

This displays as below:

How can I adjust the code so that:

1. I see the prices for electricity also after current hour. (sensor.nordpool_kwh_se3_sek_0_10_0)
2. There is no straight red line (prediction) for consumption after current hour. (sensor.importerade_kwh_h)
3. There is no binding line between yesterday's and todays average electricity price? (sensor.nordpool_kwh_se3_sek_0_10_0_average)

[Dinez666]

Hi.

Is it possible for you to share the yaml formating. I suck at formating and cant seem to get it correct :P
Thanks in advance!