Release Notes
[LATEST] Release Node (v0.3.3), Browser (0.3.3)
Date: 10th Oct 2021
Minor patch update
Release - Node (v0.3.2), Browser (0.3.2)
Date: 2nd Oct 2021
Minor patch update for column name display after aggregation functions like sum, mean, var, are applied to a column axis.
Release - Node (v0.3.1), Browser (0.3.1)
Date: 1st Oct 2021
New Features
- Ability to create empty frames
- Flag for toggling between low/high memory mode
- Inplace support for all mutating operations
- Ability to set Configuration values on frame creation
- Support boolean mask for subsetting with
ilocandloc. E.gdf.iloc({rows: df["count"].gt(5), columns: [0, 1]}) - Update an existing column value via subsetting. E.g
df["count"] = [1,3,4,5] - Add loc indexing support for Series
- Add configuration support for formating DataFrame display in the console
- New DataFrame
applyMapfunction for element-wise apply function andandorlogical comparison support. E.gdf.loc({rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))})to_csv,to_jsonandto_excelfunctions now support saving to local disk in Node and downloadable in the browser. Also, supports config parameters for output.read_jsonnow supports config values for headers, authentication, separator, etc.- DataFrame
queryfunction now accepts boolean masks with single or multiple conditions. E.gdf.query({rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))})
Bug Fixes
- Column data not being updated when mutating internal data array
- Str class error for non-string type
- Better error message
- Fix support for all JS Date format
- Fix loc slicing bug for row index with string labels
- DataFrame apply function now works only across a specified axis
[LATEST] ReleaseNode (v0.2.7), Browser (0.2.6)
Date: 30th May 2021
ReleaseNode (v0.2.6), Browser (0.2.5)
Date: 29th March 2021
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group = df.groupby(['A"])
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group.min()
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groupby.apply((x) => x.add(2))
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groupby.col(["C"]).apply((x) => x.min())
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Contributors: @steveoni @PrawiraGenestonlia @woosuk288 @risenW
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:
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/[email protected]/lib/bundle.min.js"></script>
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<title>Document</title>
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</head>
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<body>
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<div id="div1"></div>
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<div id="div2"></div>
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<div id="div3"></div>
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<script>
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dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
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.then(df => {
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df['AAPL.Open'].plot("div1").box() //makes a box plot
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df.plot("div2").table() //display csv as table
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new_df = df.set_index({ key: "Date" }) //resets the index to Date column
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new_df.plot("div3").line({ columns: ["AAPL.Open", "AAPL.High"] }) //makes a timeseries plot
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}).catch(err => {
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console.log(err);
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})
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</script>
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</body>
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</html>
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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:
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const dfd = require("danfojs-node")
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const tf = dfd.tf //contains a reference to the tensorflowjs-node library
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const model = tf.sequential();
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model.add(tf.layers.dense({ inputShape: [7], units: 124, activation: 'relu', kernelInitializer: 'leCunNormal' }));
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model.add(tf.layers.dense({ units: 64, activation: 'relu' }));
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model.summary();
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Release (v0.1.5)
Date: 25th September 2020
We added/updated the following features:
- Fix null value bug when creating DataFrame from JSON files (Fix)
- Add relative import for reading files into DataFrame
- Minor patch and overall optimizations (Fix)
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
- Fixed upper bound bug in indexing
Contributors: Rising Odegua, Stephen Oni
Last modified 1mo ago
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Contents
[LATEST] Release Node (v0.3.3), Browser (0.3.3)
Release - Node (v0.3.2), Browser (0.3.2)
Release - Node (v0.3.1), Browser (0.3.1)
[LATEST] ReleaseNode (v0.2.7), Browser (0.2.6)
ReleaseNode (v0.2.6), Browser (0.2.5)
Release Node (v0.2.5), Browser (0.2.4)
Release (v0.2.2)
Release (v0.1.5)
Release (v0.1.0-beta)