Setup Data Analysis Environment with Typescript

Similar to Pandas & Jupyter Notebook in Python

In this tutorial we will set up an environment to make data analysis with typescript and write our code in an experimental environment like Jupyter Notebook.

The following part is copied from https://github.com/yunabe/tslab.

Installing tslab

Prerequisites

• Install Node.js (LTS or Current)
• Install Python3.x
  • tslab works with Jupyter on Python2.7.
  • But I recommend you to use Jupyter on Python3.x because the latest Jupyter does not support Python2.7
• Install the latest version of JupyterLab or Jupyter Notebook

To get Python and Jupyter installed on your machine, the easiest way is to download and install anaconda https://www.anaconda.com/products/individual-d.

Installing tslab

First, install tslab with npm.

npm install -g tslab

Please make sure tslab command is available in your terminal.

tslab install --version

Then, register tslab to your Jupyter environment.

tslab install --python=python3

Getting Started

Install dependencies

Switch into a folder where you want to run your Typescript Notebook

cd your-folder

Install two packages to use them in your tslab environment

npm init -y

npm i danfojs-node tslab-plotly

Run tslab Notebook

jupyter lab

Run Examples

Place this code into a cell to see if danfo.js is working

import * as dfd from "danfojs-node"

let data = { "Name": ["Apples", "Mango", "Banana", "Pear"] ,
            "Count": [21, 5, 30, 10] ,
           "Price": [200, 300, 40, 250] }

let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
df.print()

Place this code to see if Plotly is working

import Plotly from "tslab-plotly";
import * as tslab from "tslab";

Plotly.newPlot(tslab, [
  {
    x: [1, 2, 3, 4, 5],
    y: [1, 2, 4, 8, 16],
  },
]);

Further reading

tslab

danfo.js

Plotly for tslab