https://github.com/joweich/year-in-search-trends

Visualization of search interest over time
https://github.com/joweich/year-in-search-trends

dataisbeautiful python search-trends

Last synced: 6 days ago
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Visualization of search interest over time

• Host: GitHub
• URL: https://github.com/joweich/year-in-search-trends
• Owner: joweich
• License: mit
• Created: 2021-12-19T16:41:33.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-12-15T19:47:24.000Z (about 1 year ago)
• Last Synced: 2024-12-26T16:08:37.878Z (13 days ago)
• Topics: dataisbeautiful, python, search-trends
• Language: Python
• Homepage:
• Size: 278 KB
• Stars: 189
• Watchers: 5
• Forks: 19
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

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README

        
# year-in-search-trends: Visualization of search interest over time

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

---

**year-in-search-trends** is just [pytrends](https://github.com/GeneralMills/pytrends) and seaborn's [FacetGrid](https://seaborn.pydata.org/generated/seaborn.FacetGrid.html) with some extra steps.

The keywords are preselected and normalized to visualize different orders of magnitude of search interest in the same chart.

## Usage

#### Get source code and dependencies

```sh

git clone https://github.com/joweich/year-in-search-trends.git

cd year-in-search-trends

pip install -r requirements.txt

```

#### Minimal example

```python

import yearinsearchtrends as yist

keywords = ["Weather Forecast", "TV Program"]

df = yist.get_interest_over_time(

    keywords, "2022-01-01 2023-01-01"

)

yist.draw_ridgeplot(df)

```

## Data source

Data is retrieved from https://www.google.com/trends. You have to comply with Google's [Terms of Service](https://support.google.com/trends/answer/4365538?hl=en) if you use this data source. Neither [pytrends](https://github.com/GeneralMills/pytrends) nor this project are officially supported tools.

## Example

![Example](example.png)

## Miscellaneous

- [Search category lookup](https://github.com/pat310/google-trends-api/wiki/Google-Trends-Categories)

- [Country code lookup](https://en.wikipedia.org/wiki/List_of_ISO_3166_country_codes)