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fraser-gehrig-0.1.2
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مشاهده بیشتر
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مشاهده بیشترتوضیحات
A package to scrape AFL data.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | fraser-gehrig-0.1.2 |
| نام | fraser-gehrig |
| نسخه کتابخانه | 0.1.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | Harry Goodman <harryfgoodman@gmail.com>, Gabriel Dennis <gabrieldennis17@gmail.com> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/fraser-gehrig/ |
| مجوز | MIT |
Fraser Gehrig
==================
[](https://badge.fury.io/py/fraser_gehrig) [](https://badge.fury.io/gh/jacaranda-analytics%2Ffraser-gehrig)[](https://opensource.org/licenses/MIT)
<!-- markdown-toc start - Don't edit this section. Run M-x markdown-toc-refresh-toc -->
**Table of Contents**
- [Fraser Gehrig ](#fraser-gehrig)
- [Description](#description)
- [Kaggle](#kaggle)
- [Installation](#installation)
- [GitHub](#github)
- [Pip](#pip)
- [Examples](#examples)
- [Get player stats for a single year](#get--player-stats-for-a-single-year)
- [Get game stats For a single year](#get-game-stats-for-a-single-year)
- [Get game by game results for a single year](#get--game-by-game-results-for-a-single-year)
- [License](#license)
<!-- markdown-toc end -->
# Description
This is a small webscraper package to scrap AFL player and game statistics data from [AFL Tables](https://afltables.com/afl/afl_index.html).
This package is named after the famous St Kilda forward Fraser Gehrig because, why not?
# Kaggle
A kaggle dataset of the entire set of scraped table data, using this package, is available [here](https://www.kaggle.com/datasets/gabrieldennis/afl-player-and-game-data-and-statistics18972022).
The script which was used to scrape the set of tables and package up the dataset for kaggle is located [here](examples/kaggle_data.py).
- A Kaggle notebook which uses this data to predict the 2021 Brownlow medal counts can be seen [here](https://www.kaggle.com/gabrieldennis/2021-brownlow-prediction-mlp)
# Installation
Currently, there are various ways this package can be installed.
These include
- GitHub
- pip
## GitHub
To install from GitHub there are two options,
the first option is to clone the repository and do a local installation from the cloned directory.
```sh
git clone git@github.com:jacaranda-analytics/fraser_gehrig.git
cd fraser_gehrig/ && pip install .
```
The second option is to install from GitHub without first cloning the repository,
to install the latest master branch, run the command.
```sh
pip install https://github.com/jacaranda-analytics/fraser_gehrig/archive/master.zip
```
## Pip
To install through pip, simply run
```python
pip install fraser-gehrig
```
# Examples
The following section shows some example usages for this tool
```python
>>>> import fraser_gehrig.fraser_gehrig as fg
```
## Get player stats for a single year
```python
>>> fg.get_player_stats(year = 2020)
Loading Data:
jumper games_played kicks marks
Crouch, Matt 5 16 162 44
Laird, Rory 29 17 186 46
Smith, Brodie 33 16 203 58
Keays, Ben 28 16 147 47
Crouch, Brad 2 12 136 20
... ... ... ... ...
Schache, Josh 13 2 8 3
Porter, Callum 28 1 4 NA
Trengove, Jackson 8 1 2 1
Dickson, Tory 29 1 NA NA
Young, Lewis 2 1 3 3
[650 rows x 27 columns]
```
## Get game stats For a single year
```python
>>> fg.get_game_by_game_stats(year = 2020)
.
.
.
index player team round opponents stat value
0 0 Atkins, Rory adelaide 0 SY disposals 14
1 1 Atkins, Rory adelaide 1 PA disposals 10
2 2 Atkins, Rory adelaide 2 GC disposals 3
3 3 Atkins, Rory adelaide 3 BL disposals NA
4 4 Atkins, Rory adelaide 4 FR disposals NA
... ... ... ... ... ... ... ...
267600 267600 Young, Lewis bullldogs 13 GE %_played NA
267601 267601 Young, Lewis bullldogs 14 WC %_played NA
267602 267602 Young, Lewis bullldogs 15 HW %_played NA
267603 267603 Young, Lewis bullldogs 16 FR %_played NA
267604 267604 Young, Lewis bullldogs 17 SK %_played NA
[267605 rows x 7 columns]
```
## Get game by game results for a single year
```python
>>> fg.get_game_by_game_results(year = 2020)
team round opponent kicks ... marks_inside_50 one_percenters bounces goal_assist
0 Adelaide R1 Sydney 142-200 ... 6-8 38-47 7-0 7-7
1 Adelaide R2 Port Adelaide 138-226 ... 4-13 41-45 NA 5-9
2 Adelaide R3 Gold Coast 145-196 ... 2-10 33-36 2-4 2-7
3 Adelaide R4 Brisbane Lions 162-199 ... 5-19 34-42 1-3 5-9
4 Adelaide R5 Fremantle 170-197 ... 6-15 32-29 2-6 2-7
.. ... ... ... ... ... ... ... ... ...
13 Western Bulldogs R14 Geelong 146-183 ... 10-7 49-40 1-5 7-7
14 Western Bulldogs R16 West Coast 157-175 ... 8-10 38-35 1-4 3-7
15 Western Bulldogs R17 Hawthorn 192-140 ... 9-5 61-50 0-1 9-4
16 Western Bulldogs R18 Fremantle 162-172 ... 12-8 55-31 6-3 8-5
17 Western Bulldogs EF St Kilda 175-184 ... 9-12 48-44 3-6 4-7
[324 rows x 25 columns]
```
# License
- [MIT](LICENCE.md)
نیازمندی
| مقدار | نام |
|---|---|
| - | pandas |
| - | requests |
| - | bs4 |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8.1 | Python |
نحوه نصب
نصب پکیج whl fraser-gehrig-0.1.2:
pip install fraser-gehrig-0.1.2.whl
نصب پکیج tar.gz fraser-gehrig-0.1.2:
pip install fraser-gehrig-0.1.2.tar.gz