BarChart

Bar chart component with stacked and percent variants

Import

Source

View source code

Docs

Edit this page

Package

@mantine/charts

Usage

Use BarChart component without type prop to render a regular bar chart. In a regular bar chart, each data series is plotted on its own and does not interact with other series.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
      tickLine="y"
    />
  );
}

Set type="stacked" to render a stacked bar chart. In this type of bar chart stacking is applied along the vertical axis, allowing you to see the overall trend as well as the contribution of each individual series to the total.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      type="stacked"
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Mixed stacked bar chart

You can control how series are stacked by setting stackId property in series object:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      series={[
        { name: 'Smartphones', color: 'violet.6', stackId: 'a' },
        { name: 'Laptops', color: 'blue.6', stackId: 'b' },
        { name: 'Tablets', color: 'teal.6', stackId: 'b' },
      ]}
    />
  );
}

Percent bar chart

Set type="percent" to render a percent bar chart. In this type of bar chart the y-axis scale is always normalized to 100%, making it easier to compare the contribution of each series in terms of percentages.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      type="percent"
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Waterfall bar chart

Set type="waterfall" to render a waterfall bar chart. This chart type illustrates how an initial value is influenced by subsequent positive or negative values, with each bar starting where the previous one ended. Use the color prop inside data to color each bar individually. Note that the series color gets overwritten for this specific bar. Use the standalone prop inside data to decouple the bar from the flow.

import { BarChart } from '@mantine/charts';
import { data } from './data';


function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="item"
      type="waterfall"
      series={[{ name: 'Effective tax rate in %', color: 'blue' }]}
      withLegend
    />
  );
}

SVG patter as bar fill

You can use SVG patterns as bar fill. To do so, set fill property in series object to a url of the SVG pattern that is defined in the defs section of the chart children.

Example of using diagonal stripes and crosshatch patterns as bar fill:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={mixedStackData}
      dataKey="month"
      series={[
        { name: 'Smartphones', color: 'url(#crosshatch)', stackId: 'a' },
        { name: 'Laptops', color: 'blue.6', stackId: 'b' },
        { name: 'Tablets', color: 'url(#diagonalStripes)', stackId: 'b' },
      ]}
    >
      <defs>
        <pattern
          id="diagonalStripes"
          patternUnits="userSpaceOnUse"
          width={6}
          height={8}
          patternTransform="rotate(45)"
        >
          <rect
            width="2"
            height="8"
            transform="translate(0,0)"
            fill="color-mix(in lch, var(--mantine-color-teal-6) 70%, rgba(0,0,0,0))"
          />
        </pattern>

        <pattern id="crosshatch" patternUnits="userSpaceOnUse" width={8} height={8}>
          <path
            d="M 0 0 L 8 0 L 8 8 L 0 8 Z"
            fill="none"
            stroke="color-mix(in lch, var(--mantine-color-indigo-6) 70%, rgba(0,0,0,0))"
            strokeWidth="1"
          />
          <path
            d="M 0 0 L 8 8"
            stroke="color-mix(in lch, var(--mantine-color-indigo-6) 70%, rgba(0,0,0,0))"
            strokeWidth="1"
          />
          <path
            d="M 8 0 L 0 8"
            stroke="color-mix(in lch, var(--mantine-color-indigo-6) 70%, rgba(0,0,0,0))"
            strokeWidth="1"
          />
        </pattern>
      </defs>
    </BarChart>
  );
}

Bar color based on value

Use getBarColor prop to assign color based on value. getBarColor function is called with two arguments: value and series object. It should return a color string (theme color reference or any valid CSS color value).

Note that color returned by getBarColor does not impact colors of the legend and tooltip.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      getBarColor={(value) => (value > 700 ? 'teal.8' : 'red.8')}
      series={[{ name: 'Laptops', color: 'gray.6' }]}
    />
  );
}

Legend

To display chart legend, set withLegend prop. When one of the items in the legend is hovered, the corresponding data series is highlighted in the chart.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      withLegend
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Legend position

You can pass props down to recharts Legend component with legendProps prop. For example, setting legendProps={{ verticalAlign: 'bottom', height: 50 }} will render the legend at the bottom of the chart and set its height to 50px.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      withLegend
      legendProps={{ verticalAlign: 'bottom', height: 50 }}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Series labels

By default, series name is used as a label. To change it, set label property in series object:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      type="stacked"
      withLegend
      legendProps={{ verticalAlign: 'bottom' }}
      series={[
        { name: 'Smartphones', label: 'Smartphones sales', color: 'violet.6' },
        { name: 'Laptops', label: 'Laptops sales', color: 'blue.6' },
        { name: 'Tablets', label: 'Tablets sales', color: 'teal.6' },
      ]}
    />
  );
}

X and Y axis props

Use xAxisProps and yAxisProps to pass props down to recharts XAxis and YAxis components. For example, these props can be used to change orientation of axis:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      tickLine="xy"
      yAxisProps={{ tickMargin: 15, orientation: 'right' }}
      xAxisProps={{ tickMargin: 15, orientation: 'top' }}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Axis labels

Use xAxisLabel and yAxisLabel props to display axis labels:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      xAxisLabel="Date"
      yAxisLabel="Amount"
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

X axis offset

Use xAxisProps to set padding between the charts ends and the x-axis:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      xAxisProps={{ padding: { left: 30, right: 30 } }}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Y axis scale

Use yAxisProps to change domain of the Y axis. For example, if you know that your data will always be in the range of 0 to 150, you can set domain to [0, 150]:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      yAxisProps={{ domain: [0, 250] }}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Value formatter

To format values in the tooltip and axis ticks, use valueFormat prop. It accepts a function that takes number value as an argument and returns formatted value:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      valueFormatter={(value) => new Intl.NumberFormat('en-US').format(value)}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Area color

You can reference colors from theme the same way as in other components, for example, blue, red.5, orange.7, etc. Any valid CSS color value is also accepted.

Color

Fill opacity

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      series={[{ name: 'Smartphones', color: 'blue' }]}
    />
  );
}

Bar props

You can pass props down to recharts Bar component with barProps prop. barProps accepts either an object with props or a function that receives series data as an argument and returns an object with props.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={200}
      data={data}
      dataKey="month"
      orientation="vertical"
      yAxisProps={{ width: 80 }}
      barProps={{ radius: 10 }}
      series={[{ name: 'Smartphones', color: 'blue.6' }]}
    />
  );
}

Minimum bar size

Use minBarSize prop to set the minimum size of the bar in px:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      minBarSize={10}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Change bar color depending on color scheme

You can use CSS variables in color property. To define a CSS variable that changes depending on the color scheme, use light/dark mixins or light-dark function. Example of bar that is dark orange in light mode and lime in dark mode:

import { BarChart } from '@mantine/charts';
import { data } from './data';
import classes from './Demo.module.css';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      className={classes.root}
      series={[{ name: 'Smartphones', color: 'var(--bar-color)' }]}
    />
  );
}

Stroke dash array

Set strokeDasharray prop to control the stroke dash array of the grid and cursor lines. The value represent the lengths of alternating dashes and gaps. For example, strokeDasharray="10 5" will render a dashed line with 10px dashes and 5px gaps.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      strokeDasharray="15 15"
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Grid and text colors

Use --chart-grid-color and --chart-text-color to change colors of grid lines and text within the chart. With CSS modules, you can change colors depending on color scheme:

.root {
  @mixin light {
    --chart-grid-color: alpha(var(--mantine-color-black), 0.15);
    --chart-text-color: var(--mantine-color-gray-7);
  }

  @mixin dark {
    --chart-grid-color: alpha(var(--mantine-color-white), 0.15);
    --chart-text-color: var(--mantine-color-dark-0);
  }
}

If your application has only one color scheme, you can use gridColor and textColor props instead of CSS variables:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="date"
      type="stacked"
      gridColor="gray.5"
      textColor="gray.9"
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Tooltip animation

By default, tooltip animation is disabled. To enable it, set tooltipAnimationDuration prop to a number of milliseconds to animate the tooltip position change.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      tooltipAnimationDuration={200}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Units

Set unit prop to render a unit label next to the y-axis ticks and tooltip values:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      unit="$"
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Custom tooltip

Use tooltipProps.content to pass custom tooltip renderer to recharts Tooltip component. Note that it is required to filter recharts payload with getFilteredChartTooltipPayload function to remove empty values that are used for styling purposes only.

import { BarChart } from '@mantine/charts';
import { Paper, Text } from '@mantine/core';
import { data } from './data';

interface ChartTooltipProps {
  label: string;
  payload: Record<string, any>[] | undefined;
}

function ChartTooltip({ label, payload }: ChartTooltipProps) {
  if (!payload) return null;

  return (
    <Paper px="md" py="sm" withBorder shadow="md" radius="md">
      <Text fw={500} mb={5}>
        {label}
      </Text>
      {payload.map((item: any) => (
        <Text key={item.name} c={item.color} fz="sm">
          {item.name}: {item.value}
        </Text>
      ))}
    </Paper>
  );
}

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      tooltipProps={{
        content: ({ label, payload }) => <ChartTooltip label={label} payload={payload} />,
      }}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Remove tooltip

To remove tooltip, set withTooltip={false}. It also removes the cursor line and disables interactions with the chart.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      withTooltip={false}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Sync multiple BarCharts

You can pass props down to recharts BarChart component with barChartProps prop. For example, setting barChartProps={{ syncId: 'any-id' }} will sync tooltip of multiple BarChart components with the same syncId prop.

Smartphones sales:

Laptops sales:

import { Text } from '@mantine/core';
import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <>
      <Text mb="md" pl="md">
        Smartphones sales:
      </Text>

      <BarChart
        h={180}
        data={data}
        dataKey="month"
        series={[{ name: 'Smartphones', color: 'violet.6' }]}
        barChartProps={{ syncId: 'tech' }}
      />

      <Text mb="md" pl="md" mt="xl">
        Laptops sales:
      </Text>

      <BarChart
        h={180}
        data={data}
        dataKey="month"
        barChartProps={{ syncId: 'tech' }}
        series={[{ name: 'Laptops', color: 'teal.6' }]}
      />
    </>
  );
}

Vertical orientation

Set orientation="vertical" to render a vertical bar chart:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      type="stacked"
      orientation="vertical"
      yAxisProps={{ width: 80 }}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Reference lines

Use referenceLines prop to render reference lines. Reference lines are always rendered behind the chart.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      referenceLines={[
        {
          y: 1130,
          color: 'red.5',
          label: 'Profit reached',
          labelPosition: 'insideTopRight',
        },
      ]}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Bar value label

To display value above each bar, set withBarValueLabel:

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      valueFormatter={(value) => new Intl.NumberFormat('en-US').format(value)}
      withBarValueLabel
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Bar value label props

You can pass props down to recharts LabelList component with valueLabelProps prop. valueLabelProps accepts either an object with props or a function that receives series data as an argument and returns an object with props.

import { BarChart } from '@mantine/charts';
import { data } from './data';

function Demo() {
  return (
    <BarChart
      h={300}
      data={data}
      dataKey="month"
      valueFormatter={(value) => new Intl.NumberFormat('en-US').format(value)}
      withBarValueLabel
      valueLabelProps={{ position: 'inside', fill: 'white' }}
      series={[
        { name: 'Smartphones', color: 'violet.6' },
        { name: 'Laptops', color: 'blue.6' },
        { name: 'Tablets', color: 'teal.6' },
      ]}
    />
  );
}

Bar overlays

import { BarChart } from '@mantine/charts';
import classes from './Demo.module.css';
import { data } from './data';

function Demo() {
  const bigBarWidth = useMediaQuery('(min-width: 48em)') ? 42 : 26;
  const ratio = 0.5;
  const smallBarWidth = bigBarWidth * ratio;
  const barGap = (bigBarWidth + smallBarWidth) / -2;

  return (
    <BarChart
      h={300}
      data={overlayData}
      dataKey="index"
      barChartProps={{ barGap }}
      barProps={(data) => ({ barSize: data.name === 'you' ? bigBarWidth : smallBarWidth })}
      classNames={classes}
      series={[
        { name: 'you', color: 'var(--you-bar-color)' },
        { name: 'average', color: 'var(--average-bar-color)' },
      ]}
    />
  );
}

AreaChart

LineChart

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