Important: This documentation is about an older version. It's relevant only to the release noted, many of the features and functions have been updated or replaced. Please view the current version.

Grafana Cloud Enterprise Open source

Bar chart

Bar charts allow you to graph categorical data.

Bar chart
Bar chart

Supported data formats

Only one data frame is supported and it must have at least one string field that will be used as the category for an X or Y axis and one or more numerical fields.


BrowserMarket share

If you have more than one numerical field the visualization will show grouped bars.

Visualizing time series or multiple result sets

If you have multiple time series or tables you first need to join them using a join or reduce transform. For example if you have multiple time series and you want to compare their last and max value add the Reduce transform and specify Max and Last as options under Calculations.

Bar chart time series example
Bar chart time series example

Bar chart options

Use these options to refine your visualization.


  • Auto - Grafana decides the bar orientation based on what the panel dimensions.
  • Horizontal - Will make the X axis the category axis.
  • Vertical - Will make the Y axis the category axis.

Rotate x-axis tick labels

When the graph is vertically oriented, this setting rotates the labels under the bars. This setting is useful when bar chart labels are long and overlap.

X-axis tick label maximum length

Sets the maximum length of bar chart labels. Labels longer than the maximum length are truncated, and appended with ....

Bar labels minimum spacing

Sets the minimum spacing between bar labels.

Show values

This controls whether values are shown on top or to the left of bars.

  • Auto Values will be shown if there is space
  • Always Always show values.
  • Never Never show values.


Controls bar chart stacking.

  • Off: Bars will not be stacked.
  • Normal: Bars will be stacked on each other.
  • Percent: Bars will be stacked on each other, and the height of each bar is the percentage of the total height of the stack.

Group width

Controls the width of groups. 1 = max with, 0 = min width.

Bar width

Controls the width of bars. 1 = Max width, 0 = Min width.

Bar radius

Controls the radius of the bars.

  • 0 = Minimum radius
  • 0.5 = Maximum radius

Highlight full area on cover

Controls if the entire surrounding area of the bar is highlighted when you hover over the bar.

Line width

Controls line width of the bars.

Fill opacity

Controls the fill opacity bars.

Gradient mode

Set the mode of the gradient fill. Fill gradient is based on the line color. To change the color, use the standard color scheme field option.

Gradient appearance is influenced by the Fill opacity setting.


No gradient fill. This is the default setting.


Transparency of the gradient is calculated based on the values on the y-axis. Opacity of the fill is increasing with the values on the Y-axis.


Gradient color is generated based on the hue of the line color.

Tooltip mode

When you hover your cursor over the visualization, Grafana can display tooltips. Choose how tooltips behave.

  • Single - The hover tooltip shows only a single series, the one that you are hovering over on the visualization.
  • All - The hover tooltip shows all series in the visualization. Grafana highlights the series that you are hovering over in bold in the series list in the tooltip.
  • Hidden - Do not display the tooltip when you interact with the visualization.

Use an override to hide individual series from the tooltip.

Legend mode

Use these settings to define how the legend appears in your visualization. For more information about the legend, refer to Configure a legend.

  • List - Displays the legend as a list. This is a default display mode of the legend.
  • Table - Displays the legend as a table.
  • Hidden - Hides the legend.

Legend placement

Choose where to display the legend.

  • Bottom - Below the graph.
  • Right - To the right of the graph.

Legend values

Choose which of the standard calculations to show in the legend. You can have more than one.

Legend calculations

Choose which of the standard calculations to show in the legend. You can have more than one.

For more information about the legend, refer to Configure a legend.

Text size

Enter a Value to change the size of the text on your bar chart.


Use the following field settings to refine how your axes display.

Some field options will not affect the visualization until you click outside of the field option box you are editing or press Enter.


Select the placement of the Y-axis.


Grafana automatically assigns Y-axis to the series. When there are two or more series with different units, then Grafana assigns the left axis to the first unit and right to the following units.


Display all Y-axes on the left side.

Display all Y-axes on the right side.


Hide all axes.

To selectively hide axes, Add a field override that targets specific fields.


Set a Y-axis text label.

If you have more than one Y-axis, then you can give assign different labels with an override.


Set a fixed width of the axis. By default, Grafana dynamically calculates the width of an axis.

By setting the width of the axis, data whose axes types are different can share the same display proportions. This makes it easier to compare more than one graph’s worth of data because the axes are not shifted or stretched within visual proximity of each other.

Soft min and soft max

Set a Soft min or soft max option for better control of Y-axis limits. By default, Grafana sets the range for the Y-axis automatically based on the dataset.

Soft min and soft max settings can prevent blips from turning into mountains when the data is mostly flat, and hard min or max derived from standard min and max field options can prevent intermittent spikes from flattening useful detail by clipping the spikes past a defined point.

You can set standard min/max options to define hard limits of the Y-axis. For more information, refer to Standard options definitions.

Display multiple y-axes

In some cases, you may want to display multiple y-axes. For example, if you have a dataset showing both temperature and humidity over time, you may want to show two y-axes with different units for these two series.

You can do this by adding field overrides. Follow the steps as many times as required to add as many y-axes as you need.