danfojs
danfojs copied to clipboard
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
**Describe the bug** Unable to install danfojs-node **To Reproduce** `npm install danfojs-node` **Expected behavior** successful install **Desktop (please complete the following information):** - OS: Windows 10 Home | Version 22H2...
I have this code snippet ``` const danfojs = require("danfojs-node"); (async () => { let data = await danfojs.readCSV( `${__dirname}/plan.csv`, { dynamicTyping: { "variation": false } } ) console.log( data.columns.map((item,...
**Describe the bug** In choose single column; This isn't work: var house_ids = df["house_id"]; var tss = df["tsJST1"]; This is work: var house_ids = df.loc({columns:["house_id"]})["house_id"]; var tss = df.loc({columns:["tsJST1"]})["tsJST1"]; **To...
Using danfo-node, with node 16... `timestamp` is a column created from `new Date()` instance ``` javascript const sfHourly = df.column('timestamp').apply((date) => { const dt = new Date(date); dt.setMinutes(0); return dt;...
XLSX library that is bundled with danfojs has secirity issue. Suggest upgrade dependency to 0.19.3 of xlsx: $ npm audit # npm audit report xlsx * Severity: high Prototype Pollution...
**Describe the bug** I've installed danfojs@^1.1.2 in my React project using Vite and I'm getting the following error: ``` [plugin:vite:import-analysis] Failed to resolve entry for package "danfojs". The package may...
How do I query string columns then?
**Is your feature request related to a problem? Please describe.** It's very common to sort the dataframe on many columns, and it's currently not possible. This can be problematic for...
**Describe the bug** When creating a `DataFrame` by providing an `Object`, if one of the columns is called 'index,' then 'df.index` will point to that column instead of the actual...
Hi, everyone. I'm new to the data manipulation and I'm learning with danfojs. I have a dataframe, like this: ``` const data = [{id: 000, timestamp: "2015-01-01T02:00:00.000Z"}] const df =...