zenalytiks / dash-chartjs

A Plotly-Dash component for Chart.js.

Dash Chartjs Component

Chart.js is one the most popular javascript charting library. Dash Chartjs Component is a Dash component library that renders ChartJs React component inside Dash App.

Installation

pip install dash-chartjs

Prop List

id (str): The ID used to identify this component in Dash callbacks.

type (str): Chart.js chart type.

data (dict): The data object that is passed into the Chart.js chart.

options (dict): The options object that is passed into the Chart.js chart.

toolbox (boolean): Toolbox with reset and download buttons for chart.

linearGradientList (list): List of colors for the Linear Gradient.

linearGradientDirection (str): Set the direction of Linear Gradient. Either 'horizontal' or 'vertical'. Vertical is default.

useGradient (str): Apply Linear Gradient on 'borderColor', 'backgroundColor' or on 'both'. Applies on both by default.

customCanvasBackgroundColor (str): Set the Background color of Canvas.

clickData (dict): clickData returns the datasetIndex and index of data point clicked.

style (dict): Defines CSS styles which will override styles previously set.

Additional Plugins Integrated

chartjs-plugin-zoom

Basic Configuration

'options': {
    'plugins': {
      'zoom': {
        'zoom': {
          'wheel': {
            'enabled': True,
          },
          'pinch': {
            'enabled': True
          },
          'mode': 'xy',
        }
      }
    }
}

chartjs-plugin-datalabels

Basic Configuration

'options': {
  'plugins': {
    # Change options for ALL labels of THIS CHART
    'datalabels': {
      'color': '#36A2EB'
    }
  }
},
'data': {
  'datasets': [{
    # Change options only for labels of THIS DATASET
    'datalabels': {
      'color': '#FFCE56'
    }
  }]
}

Example

chartjs-plugin-annotation

Basic Configuration

'options': {
  'plugins': {
    'annotation': {
      'annotations': {
        'box1': {
          # Indicates the type of annotation
          'type': 'box',
          'xMin': 1,
          'xMax': 2,
          'yMin': 50,
          'yMax': 70,
          'backgroundColor': 'rgba(255, 99, 132, 0.25)'
        }
      }
    }
  }
}

Example

Basic Usage

from dash import dash,html
import pandas as pd
from dash_chartjs import ChartJs

app = dash.Dash(__name__,meta_tags=[{"name": "viewport", "content": "width=device-width, initial-scale=1"}])

df = pd.read_csv('https://raw.githubusercontent.com/JetBlack101/visitors-to-georgia-ts-analysis/main/Data/VisitorsToGeorgia_2011-2019.csv')

df['Date'] = pd.to_datetime(df['Date'])

x = df['Date']
y = df['Visitors']

data = {
    'labels': x,
    'datasets': [{
        'label': 'Visitors to Georgia',
        'data': y,
        'fill':'false',
        'borderColor': 'rgb(75, 192, 192)',
        'tension': 0.1
    }]
}
options = {
    'scales': {
        'x': {
            'type':'time'
        }
    },
    'plugins':{
        'zoom':{
            'zoom':{
                'wheel':{
                    'enabled': True
                },
            'mode':'xy'
            }
        }
    } 
}


app.layout = html.Div(
    [
        ChartJs(type='line',data=data,options=options)
    ]
)

if __name__ == '__main__':
    app.run_server(debug=False)

Demo

Dash_ChartJS.mp4