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@@ -47,6 +47,60 @@ easy and intuitive. It is heavily inspired by [Pandas](https://pandas.pydata.org | |
- Robust data preprocessing functions like [OneHotEncoders](https://jsdata.gitbook.io/danfojs/api-reference/general-functions/danfo.onehotencoder), [LabelEncoders](https://jsdata.gitbook.io/danfojs/api-reference/general-functions/danfo.labelencoder), and scalers like [StandardSaler](https://jsdata.gitbook.io/danfojs/api-reference/general-functions/danfo.standardscaler) and [MinMaxScaler](https://jsdata.gitbook.io/danfojs/api-reference/general-functions/danfo.minmaxscaler) are supported on DataFrame and Series | ||
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To use danfo.js via script tags, copy and paste the CDN below to your HTML file | ||
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```html | ||
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/index.min.js"></script> | ||
``` | ||
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### Example Usage in the Browser | ||
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```html | ||
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<!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.jsdelivr.net/npm/[email protected]/dist/index.min.js"></script> | ||
<title>Document</title> | ||
</head> | ||
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<body> | ||
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<div id="div1"></div> | ||
<div id="div2"></div> | ||
<div id="div3"></div> | ||
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<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> | ||
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</body> | ||
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</html> | ||
``` | ||
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Output in Browser: | ||
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![](assets/browser-out.gif) | ||
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## How to install | ||
danfo.js is hosted on NPM, and can installed via package managers like npm and yarn | ||
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@@ -120,59 +174,6 @@ Output in Node Console: | |
![](assets/node-rec.gif) | ||
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To use danfo.js via script tags, copy and paste the CDN below to your HTML file | ||
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```html | ||
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/index.min.js"></script> | ||
``` | ||
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### Example Usage in the Browser | ||
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```html | ||
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<!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.jsdelivr.net/npm/[email protected]/dist/index.min.js"></script> | ||
<title>Document</title> | ||
</head> | ||
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<body> | ||
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<div id="div1"></div> | ||
<div id="div2"></div> | ||
<div id="div3"></div> | ||
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<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> | ||
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</body> | ||
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</html> | ||
``` | ||
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Output in Browser: | ||
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![](assets/browser-out.gif) | ||
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#### [See the Official Getting Started Guide](https://jsdata.gitbook.io/danfojs/getting-started) | ||
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## Documentation | ||
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