Panel🔗

Constructor🔗

Panel()

Methods🔗

build🔗

Builds the object.

def build() -> dashboard.Panel

cache_timeout🔗

Sets panel queries cache timeout.

def cache_timeout(cache_timeout: str) -> typing.Self

calculate🔗

Controls if the heatmap should be calculated from data

def calculate(calculate: bool) -> typing.Self

calculation🔗

Calculation options for the heatmap

def calculation(calculation: cogbuilder.Builder[common.HeatmapCalculationOptions]) -> typing.Self

cell_gap🔗

Controls gap between cells

def cell_gap(cell_gap: int) -> typing.Self

cell_radius🔗

Controls cell radius

def cell_radius(cell_radius: float) -> typing.Self

cell_values🔗

Controls cell value unit

def cell_values(cell_values: cogbuilder.Builder[heatmap.CellValues]) -> typing.Self

color🔗

Controls the color options

def color(color: cogbuilder.Builder[heatmap.HeatmapColorOptions]) -> typing.Self

color_scheme🔗

Panel color configuration

def color_scheme(color: cogbuilder.Builder[dashboard.FieldColor]) -> typing.Self

datasource🔗

The datasource used in all targets.

def datasource(datasource: dashboard.DataSourceRef) -> typing.Self

decimals🔗

Specify the number of decimals Grafana includes in the rendered value.

If you leave this field blank, Grafana automatically truncates the number of decimals based on the value.

For example 1.1234 will display as 1.12 and 100.456 will display as 100.

To display all decimals, set the unit to String.

def decimals(decimals: float) -> typing.Self

description🔗

Panel description.

def description(description: str) -> typing.Self

display_name🔗

The display value for this field. This supports template variables blank is auto

def display_name(display_name: str) -> typing.Self

exemplars_color🔗

Controls exemplar options

def exemplars_color(color: str) -> typing.Self

filter_values🔗

Filters values between a given range

def filter_values(filter_values: cogbuilder.Builder[heatmap.FilterValueRange]) -> typing.Self

grid_pos🔗

Grid position.

def grid_pos(grid_pos: dashboard.GridPos) -> typing.Self

height🔗

Panel height. The height is the number of rows from the top edge of the panel.

def height(h: int) -> typing.Self

hide_from🔗

def hide_from(hide_from: cogbuilder.Builder[common.HideSeriesConfig]) -> typing.Self

hide_legend🔗

| *{

axisPlacement: ui.AxisPlacement & "left" // TODO: fix after remove when https://github.com/grafana/cuetsy/issues/74 is fixed

}

Controls legend options

def hide_legend() -> typing.Self

hide_time_override🔗

Controls if the timeFrom or timeShift overrides are shown in the panel header

def hide_time_override(hide_time_override: bool) -> typing.Self

hide_y_histogram🔗

Controls if the tooltip shows a histogram of the y-axis values

def hide_y_histogram() -> typing.Self

id_val🔗

Unique identifier of the panel. Generated by Grafana when creating a new panel. It must be unique within a dashboard, but not globally.

def id_val(id_val: int) -> typing.Self

interval🔗

The min time interval setting defines a lower limit for the $__interval and $__interval_ms variables.

This value must be formatted as a number followed by a valid time

identifier like: "40s", "3d", etc.

See: https://grafana.com/docs/grafana/latest/panels-visualizations/query-transform-data/#query-options

def interval(interval: str) -> typing.Self

library_panel🔗

Dynamically load the panel

def library_panel(library_panel: dashboard.LibraryPanelRef) -> typing.Self

links🔗

Panel links.

def links(links: list[cogbuilder.Builder[dashboard.DashboardLink]]) -> typing.Self

mappings🔗

Convert input values into a display string

def mappings(mappings: list[dashboard.ValueMapping]) -> typing.Self

max_val🔗

The maximum value used in percentage threshold calculations. Leave blank for auto calculation based on all series and fields.

def max_val(max_val: float) -> typing.Self

max_data_points🔗

The maximum number of data points that the panel queries are retrieving.

def max_data_points(max_data_points: float) -> typing.Self

max_height🔗

def max_height(max_height: float) -> typing.Self

max_per_row🔗

Option for repeated panels that controls max items per row

Only relevant for horizontally repeated panels

def max_per_row(max_per_row: float) -> typing.Self

max_width🔗

def max_width(max_width: float) -> typing.Self

min_val🔗

The minimum value used in percentage threshold calculations. Leave blank for auto calculation based on all series and fields.

def min_val(min_val: float) -> typing.Self

mode🔗

Controls how the tooltip is shown

def mode(mode: common.TooltipDisplayMode) -> typing.Self

no_value🔗

Alternative to empty string

def no_value(no_value: str) -> typing.Self

overrides🔗

Overrides are the options applied to specific fields overriding the defaults.

def overrides(overrides: list[cogbuilder.Builder[dashboard.DashboardFieldConfigSourceOverrides]]) -> typing.Self

query_caching_ttl🔗

Overrides the data source configured time-to-live for a query cache item in milliseconds

def query_caching_ttl(query_caching_ttl: float) -> typing.Self

repeat🔗

Name of template variable to repeat for.

def repeat(repeat: str) -> typing.Self

repeat_direction🔗

Direction to repeat in if 'repeat' is set.

h for horizontal, v for vertical.

def repeat_direction(repeat_direction: typing.Literal["h", "v"]) -> typing.Self

rows_frame🔗

Controls tick alignment and value name when not calculating from data

def rows_frame(rows_frame: cogbuilder.Builder[heatmap.RowsHeatmapOptions]) -> typing.Self

scale_distribution🔗

def scale_distribution(scale_distribution: cogbuilder.Builder[common.ScaleDistributionConfig]) -> typing.Self

selection_mode🔗

Controls which axis to allow selection on

def selection_mode(selection_mode: heatmap.HeatmapSelectionMode) -> typing.Self

show_color_scale🔗

Controls if the tooltip shows a color scale in header

def show_color_scale(show_color_scale: bool) -> typing.Self

show_legend🔗

| *{

axisPlacement: ui.AxisPlacement & "left" // TODO: fix after remove when https://github.com/grafana/cuetsy/issues/74 is fixed

}

Controls legend options

def show_legend() -> typing.Self

show_value🔗

| *{

layout: ui.HeatmapCellLayout & "auto" // TODO: fix after remove when https://github.com/grafana/cuetsy/issues/74 is fixed

}

Controls the display of the value in the cell

def show_value(show_value: common.VisibilityMode) -> typing.Self

show_y_histogram🔗

Controls if the tooltip shows a histogram of the y-axis values

def show_y_histogram() -> typing.Self

span🔗

Panel width. The width is the number of columns from the left edge of the panel.

def span(w: int) -> typing.Self

targets🔗

Depends on the panel plugin. See the plugin documentation for details.

def targets(targets: list[cogbuilder.Builder[cogvariants.Dataquery]]) -> typing.Self

thresholds🔗

Map numeric values to states

def thresholds(thresholds: cogbuilder.Builder[dashboard.ThresholdsConfig]) -> typing.Self

time_from🔗

Overrides the relative time range for individual panels,

which causes them to be different than what is selected in

the dashboard time picker in the top-right corner of the dashboard. You can use this to show metrics from different

time periods or days on the same dashboard.

The value is formatted as time operation like: now-5m (Last 5 minutes), now/d (the day so far),

now-5d/d(Last 5 days), now/w (This week so far), now-2y/y (Last 2 years).

Note: Panel time overrides have no effect when the dashboard’s time range is absolute.

See: https://grafana.com/docs/grafana/latest/panels-visualizations/query-transform-data/#query-options

def time_from(time_from: str) -> typing.Self

time_shift🔗

Overrides the time range for individual panels by shifting its start and end relative to the time picker.

For example, you can shift the time range for the panel to be two hours earlier than the dashboard time picker setting 2h.

Note: Panel time overrides have no effect when the dashboard’s time range is absolute.

See: https://grafana.com/docs/grafana/latest/panels-visualizations/query-transform-data/#query-options

def time_shift(time_shift: str) -> typing.Self

title🔗

Panel title.

def title(title: str) -> typing.Self

transformations🔗

List of transformations that are applied to the panel data before rendering.

When there are multiple transformations, Grafana applies them in the order they are listed.

Each transformation creates a result set that then passes on to the next transformation in the processing pipeline.

def transformations(transformations: list[dashboard.DataTransformerConfig]) -> typing.Self

transparent🔗

Whether to display the panel without a background.

def transparent(transparent: bool) -> typing.Self

unit🔗

Unit a field should use. The unit you select is applied to all fields except time.

You can use the units ID availables in Grafana or a custom unit.

Available units in Grafana: https://github.com/grafana/grafana/blob/main/packages/grafana-data/src/valueFormats/categories.ts

As custom unit, you can use the following formats:

suffix:<suffix> for custom unit that should go after value.

prefix:<prefix> for custom unit that should go before value.

time:<format> For custom date time formats type for example time:YYYY-MM-DD.

si:<base scale><unit characters> for custom SI units. For example: si: mF. This one is a bit more advanced as you can specify both a unit and the source data scale. So if your source data is represented as milli (thousands of) something prefix the unit with that SI scale character.

count:<unit> for a custom count unit.

currency:<unit> for custom a currency unit.

def unit(unit: str) -> typing.Self

with_override🔗

Overrides are the options applied to specific fields overriding the defaults.

def with_override(matcher: dashboard.MatcherConfig, properties: list[dashboard.DynamicConfigValue]) -> typing.Self

with_target🔗

Depends on the panel plugin. See the plugin documentation for details.

def with_target(target: cogbuilder.Builder[cogvariants.Dataquery]) -> typing.Self

with_transformation🔗

List of transformations that are applied to the panel data before rendering.

When there are multiple transformations, Grafana applies them in the order they are listed.

Each transformation creates a result set that then passes on to the next transformation in the processing pipeline.

def with_transformation(transformation: dashboard.DataTransformerConfig) -> typing.Self

y_axis🔗

Controls yAxis placement

def y_axis(y_axis: cogbuilder.Builder[heatmap.YAxisConfig]) -> typing.Self

See also🔗

• dashboard.Panel