Customizing your plots

Danfo.js currently supports Plotly.js for plotting. This means you have all the configuration, flexibility, and interactiveness of Plotly.

All customization on the plot can be passed in the config and layout parameter.

Config Parameter

The config parameter extends the Plotly.js config type. That is, all properties available to the Plotly config argument, are available. Alongside those arguments, Danfo.js uses some custom arguments which we list below:

Argument

Description

Default value

Column name to plot on the x-axis.

DataFrame index if required

Column name to plot on the y-axis.

DataFrame index if required

columns

Array of column names to plot.

All columns in the DataFrame when applicable

values

Used to configure a pie chart. A column name containing values for the pie. Maps 1-1 with labels.

labels

Used to configure a pie chart. A column name containing labels for the pie. Maps 1-1 with values.

rowPositions

Used to configure a pie chart. Pie chart domain row. See https://plotly.com/javascript/reference/pie/#pie-domain-row

Range of 0 - DataFrame column length

columnPositions

Used to configure a pie chart. Pie chart domain column. See https://plotly.com/javascript/reference/pie/#pie-domain-column

Range of 0 - DataFrame column length

grid

Used to configure a pie chart. Accepts the following parameter: row: Integer size column: Integer size

tableHeaderStyle

Table properties used for configuring table header. See full list of supported arguments.

tableCellStyle

Table properties used for configuring table cells. See full list of supported arguments

Layout Parameter

The layout argument object is used to configure the overall display of a chart. See the full list of supported arguments

In the following example, we show how to set some basic configuration as well as layout for a line plot.

import { useEffect } from 'react';
import './App.css';
import { readCSV } from "danfojs-nightly";

function App() {

  useEffect(() => {

    readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
      .then(df => {

        const layout = {
          title: {
            text: "Time series plot of AAPL open and close points",
            x: 0
          },
          legend: {
            bgcolor: "#fcba03",
            bordercolor: "#444",
            borderwidth: 1,
            font: { family: "Arial", size: 10, color: "#fff" }
          },
          width: 1000,
          yaxis: {
            title: 'AAPL open points',
          },
          xaxis: {
            title: 'Date',
          },
        }

        const config = {
          columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
          displayModeBar: true,
          displaylogo: false,
        }
        df.plot("plot_div").line({ layout, config })
      })
  }, [])

  return (
    <div className="App">
      <header className="App-header">
        <div id="plot_div"></div>
      </header>
    </div>
  );
}

export default App;

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <script src="https://cdn.jsdelivr.net/npm/[email protected]/lib/bundle.js"></script>
    <title>Document</title>
  </head>

  <body>
    <div id="plot_div"></div>

    <script>
      dfd
        .readCSV(
          "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
        )
        .then((df) => {
          const layout = {
            title: {
              text: "Time series plot of AAPL open and close points",
              x: 0,
            },
            legend: {
              bgcolor: "#fcba03",
              bordercolor: "#444",
              borderwidth: 1,
              font: { family: "Arial", size: 10, color: "#fff" },
            },
            width: 1000,
            yaxis: {
              title: "AAPL open points",
            },
            xaxis: {
              title: "Date",
            },
          };

          const config = {
            columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
            displayModeBar: true,
            displaylogo: false,
          };
          df.plot("plot_div").line({ layout, config });
        });
    </script>
  </body>
</html>

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Last updated 3 years ago

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