Box Plots

Make a box plot from DataFrame columns.

Make a box-and-whisker plot from DataFrame columns, optionally grouped by some other columns. A box plot is a method for graphically depicting groups of numerical data through their quartiles.

Examples

Boxplot for a Series Object

React

App.jsx

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

function App() {

  useEffect(() => {
    const s = new Series([20, 30, 40, 23, 40, 3, 50, 34, 67]);
    s.plot("plot_div").box();
  }, [])

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

export default App;

Browser

Box plots on a DataFrame

React

App.jsx

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

function App() {

  useEffect(() => {
    readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
      .then(df => {

        const sub_df = df.loc({ columns: ["Age", "Fare"] })
        sub_df.plot("plot_div").box()

      }).catch(err => {
        console.log(err);
      })
  }, [])

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

export default App;

Browser

Box plot for selected columns in a DataFrame

React

App.jsx

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

function App() {

  useEffect(() => {
    readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
      .then(df => {

        df.plot("plot_div").box({
          config: {
            x: "Survived", y: "Age"
          },
          layout: {
            title: "Box Plot"
          }
        })
      }).catch(err => {
        console.log(err);
      })
  }, [])

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

export default App;

Browser

To customize your plots, see the Configuring your plot page