Release Notes

[LATEST] Release Node (v0.2.6), Browser (0.2.5)

Date: 29th March 2021

  • [Bug Fixes]: #150 #152

  • [Patches] #159 , #158

  • [Feature] #154 Perform groupby operation on grouped columns directly:

group = df.groupby(['A"])
group.min()
groupby.apply((x) => x.add(2))
groupby.col(["C"]).apply((x) => x.min())

Contributors: @steveoni @PrawiraGenestonlia @woosuk288 @risenW

LATEST] Release Node (v0.2.5), Browser (0.2.4)

Date: 6th March 2021

We added/updated the following features:

  • Fix error thrown when danfojs CDN is placed in an HTML header

  • Smaller bundle size for browser: From ~1.7mb to about ~550kb

  • Stopped bundling Danfojs with Plotly. This means that as of v0.2.3, we no longer ship with Plotly distribution due to the huge size. Plotly plots are still supported, but in order to make them, you have to explicitly add the Plotly CDN or package.

A simple example:

<!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.plot.ly/plotly-1.2.0.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/[email protected]/lib/bundle.min.js"></script>
<title>Document</title>
</head>
<body>
<div id="div1"></div>
<div id="div2"></div>
<div id="div3"></div>
<script>
dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
.then(df => {
df['AAPL.Open'].plot("div1").box() //makes a box plot
df.plot("div2").table() //display csv as table
new_df = df.set_index({ key: "Date" }) //resets the index to Date column
new_df.plot("div3").line({ columns: ["AAPL.Open", "AAPL.High"] }) //makes a timeseries plot
}).catch(err => {
console.log(err);
})
</script>
</body>
</html>

[LATEST] Release (v0.2.2)

Date: 14th February 2021

We added/updated the following features:

  • Fix babel runtime issue in node version

  • Smaller size in browser version in this version. From ~8mb to about ~5mb

  • Fix browser tag issue and returns back to specific versioning instead of @latest

  • Danfojs now ships with an exported version of tensorflowjs-node (2.8.5). This fixes the double dependency issue when building ML models, as you no longer need to install/import tensorflowjs separately.

To use tensoflowjs-node, you can reference it from danfo as shown below:

const dfd = require("danfojs-node")
const tf = dfd.tf //contains a reference to the tensorflowjs-node library
const model = tf.sequential();
model.add(tf.layers.dense({ inputShape: [7], units: 124, activation: 'relu', kernelInitializer: 'leCunNormal' }));
model.add(tf.layers.dense({ units: 64, activation: 'relu' }));
model.summary();

Release (v0.1.5)

Date: 25th September 2020

We added/updated the following features:

  • Read JSON files from local and remote URL into DataFrame (New feature)

  • Read Excel files from local or remote URL into DataFrame (New feature)

  • Fix string comparison bug in query function (Fix)

  • Add append function for DataFrame and Series (New feature)

  • Fix null value bug when creating DataFrame from JSON files (Fix)

  • Add relative import for reading files into DataFrame

  • Add sort_index function to DataFrame and Series (New feature)

  • Minor patch and overall optimizations (Fix)

Contributors: Rising Odegua, Stephen Oni, Jhenner Tigreros, Aditya Zope

Release (v0.1.0-beta)

Date: 15th August 2020

This is a minor release for browser-based environments. We added/updated the following features:

  • Ability to create DataFrame/Series from Tensors

  • Add iloc function for Series

  • Update addColumns function to accept Series

  • Add inplace option for fillna

  • Fix bug in rename function of DataFrame

  • Add Inplace option for query

  • Fixed upper bound bug in indexing

Contributors: Rising Odegua, Stephen Oni