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Plotly javascript graphing library in JavaScript

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Read more about plotly.js features

Sophisticated chart types

plotly.js abstracts the types of statistical and scientific charts that you would find in packages like matplotlib, ggplot2, or MATLAB.

d3.json('https://plotly.com/~DanielCarrera/13.json', function(figure){
                  var trace = {
                    x: figure.data[0].x, y: figure.data[0].y, z: figure.data[0].z,
                    type: 'contour', autocolorscale: false,
                    colorscale: [[0,"rgb(  0,  0,  0)"],[0.3,"rgb(230,  0,  0)"],[0.6,"rgb(255,210,  0)"],[1,"rgb(255,255,255)"]],
                    reversescale: true, zmax: 2.5, zmin: -2.5
                  };
                  var layout = {
                    title: {
                      text: 'turbulence simulation'
                  },
                    xaxis: {
                      title: {
                          text: 'radial direction'
                      },
                      showline: true,
                      mirror: 'allticks',
                      ticks: 'inside'
                    },
                    yaxis: {
                        title: {
                            text: 'vertical direction'
                        },
                        showline: true,
                        mirror: 'allticks',
                        ticks: 'inside'
                    },
                    margin: {l: 40, b: 40, t: 60},
                    annotations: [{
                      showarrow: false,
                      text: 'Credit: Daniel Carrera',
                      x: 0, y: 0, xref: 'paper', yref: 'paper'
                    }]
                  }
                  Plotly.newPlot(document.getElementById('contour-plot'), [trace], layout, {showLink: false});
                });

Fully customizable

plotly.js

charts are described declaratively as JSON objects. Every aspect of the charts, such as colors, grid lines, and the legend, has a corresponding set of JSON attributes.

d3.csv('https://raw.githubusercontent.com/plotly/datasets/master/wind_speed_laurel_nebraska.csv', function(rows){
                    var trace = {
                      type: 'scatter',                    // set the chart type
                      mode: 'lines',                      // connect points with lines
                      x: rows.map(function(row){          // set the x-data
                        return row['Time'];
                      }),
                      y: rows.map(function(row){          // set the x-data
                        return row['10 Min Sampled Avg'];
                      }),
                      line: {                             // set the width of the line.
                        width: 1
                      },
                      error_y: {
                        array: rows.map(function(row){    // set the height of the error bars
                          return row['10 Min Std Dev'];
                        }),
                        thickness: 0.5,                   // set the thickness of the error bars
                        width: 0
                      }
                    };

                    var layout = {
                      yaxis: {
                        title: {
                          text: "Wind Speed"
                        }
                      },       // set the y axis title
                      xaxis: {
                        showgrid: false,                  // remove the x-axis grid lines
                        tickformat: "%B, %Y"              // customize the date format to "month, day"
                      },
                      margin: {                           // update the left, bottom, right, top margin
                        l: 40, b: 10, r: 10, t: 20
                      }
                    };

                    Plotly.newPlot(document.getElementById('wind-speed'), [trace], layout, {showLink: false});
                });

High performance

This chart was drawn with the plotly.js chart type scattergl. scattergl charts render an order of magnitude faster than their SVG counterparts.

Universal

By abstracting charts to a declarative JSON structure,

plotly.js

is used as a browser-based charting library for

Python

MATLAB

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