Analyze T20 matches based on data from Cricsheet-http://cricsheet.org
Project description
Yorkpy
Package downloads from the Pypi
Description
This R package can be used to analyze performances of cricketers based on match data from Cricsheet. The yorkr package can handle match data from ODIs, Twenty20s and IPL T20s from Cricsheet. The data has to be in yaml format
Installation
# Install the package
pip install yorkpy
Importing and Loading Data
yorkpy can be imported using the typical import:
# Import yorkpy
import yorkpy
To load the data, You could either do specific import
#1.
import yorkpy.analytics as yka
#yka.matchWormChart(gl_mi,"Mumbai Indians","Gujarat Lions")
or import all the functions
## References
## R-Package
If you are an R-user, There is an R equivalent of `yorkpy` [`yorkr`]https://gigadom.in/2016/04/02/introducing-cricket-package-yorkr-part-1-beaten-by-sheer-pace/).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file yorkpy-0.0.11.tar.gz.
File metadata
- Download URL: yorkpy-0.0.11.tar.gz
- Upload date:
- Size: 21.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0.post20200309 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
46c35e37213b21f5ff7a4d064e25284d8798b72face890767ca77e18b9a2510a
|
|
| MD5 |
a0a2595ac0d0b4813f049f1253d6fbe9
|
|
| BLAKE2b-256 |
a0dde892112acef113f029f514c055cd90bccb33f49450d6d4b22016e833a584
|
File details
Details for the file yorkpy-0.0.11-py3-none-any.whl.
File metadata
- Download URL: yorkpy-0.0.11-py3-none-any.whl
- Upload date:
- Size: 22.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0.post20200309 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68a9bf467fbef56e392d0b191db92405d664c4ee7640066f9e5d7eaa59be9b3b
|
|
| MD5 |
55672555c16a90082dae9f96cafd30d7
|
|
| BLAKE2b-256 |
8da644fa7ee650419589d0e70b800a8a4e2004a728b72a5b6ac8dfcd376cd7bb
|