25:["$","title",null,{"children":"Hello, Danfo.js! | Visnu Pitiyanuvath | Observable"}] 4b:[{"id":"7a8dbde13ff5fc1b27de1fcd824956a65c4029682927f8728f625cccdb804dea33e248c9dd96660f5e33f308a0bae5e9067db3ba53dcead095aed8990b3262a1","href":"https://static.observableusercontent.com/files/7a8dbde13ff5fc1b27de1fcd824956a65c4029682927f8728f625cccdb804dea33e248c9dd96660f5e33f308a0bae5e9067db3ba53dcead095aed8990b3262a1","name":"penguins@1.csv","type":"text/csv","lastModified":1597281922681.328,"size":15203}] 47:{"id":"8ec1b40a7b63f43e","slug":"hello-danfo-js","title":"Hello, Danfo.js!","thumbnail":"5a54bc9c754872357e325ac3f85d47f24e0e71e58e6c4c7ff6ec04825e052fae","access_level":"public","create_time":"$D2020-08-12T21:15:24.611Z","update_time":"$D2020-08-27T16:35:59.495Z","view_time":null,"first_public_time":"$D2020-08-12T21:18:20.368Z","has_unpublished_edits":null,"fork":true,"stars":58,"starred":false,"owner":{"type":"team","id":"31b136fdb993b00a","login":"visnup","name":"Visnu Pitiyanuvath","avatar_url":"https://avatars-next.observableusercontent.com/b847c4c49993b1df7599d355f47dc0ad9c2dcf43439ce9e8f3410e6368b3aac9","tier":"pro_2026","bio":"","followed_by_you":false,"follows_you":false},"version":523,"publish_version":523,"role":null,"authored":false,"authors":[{"type":"individual","id":"dbf69c13a14d2f62","login":"visnup","name":"Visnu Pitiyanuvath","avatar_url":"https://avatars-next.observableusercontent.com/b847c4c49993b1df7599d355f47dc0ad9c2dcf43439ce9e8f3410e6368b3aac9","tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"dbf69c13a14d2f62","login":"visnup","name":"Visnu Pitiyanuvath","avatar_url":"https://avatars-next.observableusercontent.com/b847c4c49993b1df7599d355f47dc0ad9c2dcf43439ce9e8f3410e6368b3aac9","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":31,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Hello, Danfo.js!","cells":[{"id":0,"value":"md`# Hello, Danfo.js!\n\n> **danfo.js** is a javascript package that provides fast, flexible, and expressive data\nstructures designed to make working with “relational” or “labeled” data both\neasy and intuitive. It is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/) library, and provides a similar API.\n\nhttps://danfo.jsdata.org/\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":22,"value":"dfd = require('danfojs@0.0.15/dist/index.min.js').catch(() => {\n window.dfd.Series.prototype.print = window.dfd.DataFrame.prototype.print = function() { return print(this) };\n return window.dfd;\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":281,"value":"md`Ok, let’s get some data!`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":32,"value":"df = dfd.read_csv(await FileAttachment(\"penguins@1.csv\").url())","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":340,"value":"df.shape","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":45,"value":"df.head().print()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":238,"value":"df.bill_length_mm.head().print()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":446,"value":"df.dropna().describe().print()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":43,"value":"div(d => df.select_dtypes(['float32']).plot(d).box())","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":123,"value":"md`---\n### Appendix\nOur own quick helper functions to display a data frame:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":68,"value":"function print(df) {\n const {col_types, series, columns, index, values} = df;\n const table = html`\n

\n \n \n \n \n ${series\n ? html``\n : columns.map((name, i) => html``)}\n \n \n \n ${values.map((row, i) => html`\n \n \n ${series\n ? html``\n : row.map((v, j) => html``)}\n \n `)}\n \n

	${columns}	${name}
${index[i]}	${row}	${v}

\n \n `;\n table.value = df;\n return table;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":133,"value":"md`or pass a div to plotly`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":106,"value":"function div(fn) {\n const d = html`

`;\n fn(d);\n return d;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":167,"value":"import { vl } from '@vega/vega-lite-api'","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W4b","stdlib":"1"}} 24:null