Bring charts to terminal

Charts

Radar

Here an example of a 6-fetured radar for a typical rpg stat.

const stats = [{
  name: "STR",
  value: 4
}, {
  name: "DEX",
  value: 1
}, {
  name: "VIT",
  value: 6
}, {
  name: "INT",
  value: 5
}, {
  name: "WIS",
  value: 3
}, {
  name: "HP",
  value: 6
}
];
let { render, labelsWithColors } = radar(stats);
console.log(render);
console.log(annotation(labelsWithColors));

Adapts the radar based on the features provided.

const stats4Only = [{
  name: "feature1",
  value: 4
}, {
  name: "feature2",
  value: 6
}, {
  name: "feature3",
  value: 6
}, {
  name: "feature4",
  value: 3
}
];
let dataStast4 = radar(stats4Only);
console.log(dataStast4.render);
console.log(annotation(dataStast4.labelsWithColors));

Parameters

• radarData (required): A list of dictionaries containing radar data.

  • Example:

    [
      {
        "name": "feature1",
        "value": 8
      }
    ]

• width (optional): Width of the radar chart. Default value is 6.

• use_unique_colors (optional): Determines whether to use unique colors for each feature based on their order. Default value is false.

• default_color (optional): Color to use if use_unique_colors is set to false. Default value is 'yellow'.

• draw_perimeter (optional): Whether to draw the perimeter of the radar chart. Default value is true.

• write_labels (optional): Whether to write labels for features. Default value is true.

Note

• Values in radarData are automatically scaled to a range of 0-6 for calculating distances.

Dated Heatmap:

Sample Code:

const heatmap_plots = [];
SIZE_SQUARE = 2
WEEKS = 15
for (let i = 1; i < 13; i++) {
  i < 6 ? heatmap_plots.push({ key: '1+', value: [i, i], style: bg('red', SIZE_SQUARE) })
    : heatmap_plots.push({ key: '1+', value: [i, 6], style: bg('red', SIZE_SQUARE) })
}

heatmap_plots.push({ key: '3+', value: [2, 6], style: bg('blue', SIZE_SQUARE)})
heatmap_plots.push({ key: '5+', value: [6, 0], style: bg('cyan', SIZE_SQUARE) })

console.log(heatmap(heatmap_plots, { width: WEEKS , hName: "", vName: "", startsHAxis: 15, left: 4}) + '\n')

Results:

Data Array

The data array is an array of objects, where each object represents a data point in the heatmap. Each object in the data array should have the following properties:

• key (string): The identifier for the data point. This could be a date, a time, or any other identifier that makes sense for your data.

• value (array): An array of two numbers. The first number represents the start of the range for this data point, and the second number represents the end of the range.

• style (function): A function that returns a string representing the style to be applied to this data point. The function takes two arguments: a string representing the color, and a constant representing the size of the square.

Default options:

  const newOpts = Object.assign({
    width: 5, //Amount of weeks
    left: 2,
    height: 7,
    style: '# ',
    sides: [1, 1],
    hAxis: ['+', '-', ''],
    vAxis: ['|', ''],
    hName: 'X',
    vName: 'Y',
    zero: '+',
    ratio: [1, 1],
    hGap: 2,
    vGap: 1,
    legendGap:0,
    startsHAxis: 15, //Start on the horizontal Line
    startsVAxis: 1, //Starts on the vertical Line
    VLabels: ['Mo ', 'Tu ', 'We ', 'Th ', 'Fr ', 'Sa ', 'Su ']
  }, opts)

Bar

const barData = [
  { key: 'A', value: 5, style: '*' },
  { key: 'B', value: 3, style: '+' },
  { key: 'C', value: 11 },
  { key: 'D', value: 1, style: bg('red') },
  { key: 'E', value: 5, style: bg('green') },
  { key: 'F', value: 7, style: bg('blue'), padding: 1 },
  { key: 'G', value: 0, style: bg('yellow') }
]

console.log(bar(barData))

Pie

// Pie
const pieData1 = [
  { key: 'A', value: 5, style: '* ' },
  { key: 'B', value: 10, style: '+ ' },
  { key: 'C', value: 10, style: '# ' },
  { key: 'D', value: 10, style: 'O ' }
]

const pieData2 = [
  { key: 'A', value: 5, style: bg('cyan', 2) },
  { key: 'B', value: 5, style: bg('yellow', 2) },
  { key: 'C', value: 5, style: bg('magenta', 2) },
  { key: 'D', value: 5, style: bg('white', 2) }
]

console.log(pie(pieData1, { left: 1 }))
console.log(pie(pieData2, { left: 1 }))

Bullet

const bulletData = [
  { key: 'Month', value: 5 },
  { key: 'Week', value: 3, style: fg('red', '*') },
  { key: 'Day', value: 20, style: bg('blue'), barWidth: 1 },
  { key: 'Now', value: 15, style: bg('cyan'), barWidth: 1 }

Donut

const donutData1 = [
  { key: 'A', value: 10, style: fg('cyan', '+ ') },
  { key: 'B', value: 10, style: fg('red', '* ') }
]

const donutData2 = [
  { key: 'A', value: 20, style: bg('green', 2) },
  { key: 'B', value: 20, style: bg('blue', 2) },
  { key: 'C', value: 20, style: bg('yellow', 2) }
]

Gauge

const gaugeData1 = [
  { key: 'A', value: 0.5 }
]

const gaugeData2 = [
  { key: 'PR', value: 0.3 }
]

console.log(gauge(gaugeData1, { radius: 7 }))
console.log(gauge(gaugeData2, {
  radius: 7, style: bg('green', 2), bgStyle: bg('magenta', 2)
}))

Scatter Data

const scatterData = []

for (let i = 1; i < 17; i++) {
  i < 6 ? scatterData.push({ key: 'A', value: [i, i], style: fg('red', '*') })
    : scatterData.push({ key: 'A', value: [i, 6], style: fg('red', '*') })
}

scatterData.push({ key: 'B', value: [2, 6], style: fg('blue', '# '), sides: [2, 2] })
scatterData.push({ key: 'C', value: [6, 9], style: bg('cyan', 2) })

console.log(scatter(scatterData, { legendGap: 18, width: 15 }) + '\n')

APIs

main function

ervy.[chartType](data, options)

render colored characters

// foreground color
ervy.fg(color, character)

// background color
ervy.bg(color, [length])

Supported color: black, red, green, yellow, blue, magenta, cyan and white.

Use demo to understand how to combine APIs in actual code.

Credits

It would not be possible without the work of the following people:

@jcubic @chunqiuyiyu

License

MIT