The repo for mlbtradetrees.com. Analyze any trade in baseball history!

Overview

MLB Trade Trees

2.0.0 Release: November 24, 2021

www.mlbtradetrees.com allows you to view the trade tree of any player in MLB history.

What is a trade tree?

A trade tree will show you the complete details of a trade made by a team. Let's use Hall Of Fame candidate Cliff Lee for some examples, as he was traded multiple times throughout his career..

Here is the simplest form of his tree: Cliff Lee Phils

Cliff Lee was traded to the Mariners in 2009, and the Phillies received 3 players in return. All players the Phillies received in return either retired or became free agents, ending the tree with them.

Let's take a look at a more complicated example:

Cliff Lee Phils

We can see the Mariners traded away Cliff Lee in 2010, receiving 4 players in return. 2 Players' lines end due to free agency and being picked up on waivers. 2 players' lines continue due to being traded away the next year. Some of those players' lines end however some continue to be traded away, so the tree grows. The tree finally ends in 2014 due to the final player hitting free agency.

Some of these trees can get pretty massive, spanning decades and dozens of trades. An example is Harry Simpson.

The Database

The transaction, team and player databases are thanks to Retrosheet. I will only update transactions when they update the database.

I have made some adjustments to the database that allows the search to go more smoothly:

Transaction database (data/sorted_transactions_final.csv)

  • Nan players involved in trades were changed to "PTBNL/Cash" (player to be named later). Most of the time you see this in a tree, it is a cash transaction.
  • Transactions of players that were released or granted free agency, then signed back with the team as their next transaction were deleted as it caused trees to end prematurely.
  • Franchise tags were added to the database to ensure that a team name change doesn't end a tree.

Team database (data/teams.csv)

  • All teams in the database received a franchise tag if they are part of the same franchise. They received a unique franchise code if they are an independant team.

Player database (data/teams.csv)

  • Nothing changed, just made a copy with the full name to easily get the user input. (static/css/searchable_players.csv)

Installing Locally

If you want to run the website locally:

  • install flask
  • install pandas
  • install JSGlue (allows Jinja to work in a js file)

Run server.py

What am I working on?

Updated Nov. 24 2021

  • Some players don't display properly due to having very old teams not listed in the teams database. Usually these are players before 1920. I just need to update the transactions database to find all teams without the franchise tag.

  • Adding stat support with pybaseball. I'd like to add total war contributed by players in a trade on the tree.

  • Searching for and filtering trees based on team, year, players in a tree, length of trees, etc.

  • Various UI enhancements, like clickable nodes to get a player's tree, collapsable nodes for easier readability.

Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)

Binomial Option Pricing Calculator Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required) Background A derivative is a fi

sammuhrai 1 Nov 29, 2021
Automatic earthquake catalog building workflow: EQTransformer + Siamese EQTransformer + PickNet + REAL + HypoInverse

Automatic regional-scale earthquake catalog building workflow: EQTransformer + Siamese EQTransforme

Xiao Zhuowei 9 Nov 27, 2022
Very useful and necessary functions that simplify working with data

Additional-function-for-pandas Very useful and necessary functions that simplify working with data random_fill_nan(module_name, nan) - Replaces all sp

Alexander Goldian 2 Dec 02, 2021
Exploratory Data Analysis for Employee Retention Dataset

Exploratory Data Analysis for Employee Retention Dataset Employee turn-over is a very costly problem for companies. The cost of replacing an employee

kana sudheer reddy 2 Oct 01, 2021
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

ZhuSuan is a Python probabilistic programming library for Bayesian deep learning, which conjoins the complimentary advantages of Bayesian methods and

Tsinghua Machine Learning Group 2.2k Dec 28, 2022
A Numba-based two-point correlation function calculator using a grid decomposition

A Numba-based two-point correlation function (2PCF) calculator using a grid decomposition. Like Corrfunc, but written in Numba, with simplicity and hackability in mind.

Lehman Garrison 3 Aug 24, 2022
A script to "SHUA" H1-2 map of Mercenaries mode of Hearthstone

lushi_script Introduction This script is to "SHUA" H1-2 map of Mercenaries mode of Hearthstone Installation Make sure you installed python=3.6. To in

210 Jan 02, 2023
peptides.py is a pure-Python package to compute common descriptors for protein sequences

peptides.py Physicochemical properties and indices for amino-acid sequences. 🗺️ Overview peptides.py is a pure-Python package to compute common descr

Martin Larralde 32 Dec 31, 2022
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python

Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊

Thomas 2 May 26, 2022
PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).

PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).

Burn Research 4 Oct 13, 2022
Projeto para realizar o RPA Challenge . Utilizando Python e as bibliotecas Selenium e Pandas.

RPA Challenge in Python Projeto para realizar o RPA Challenge (www.rpachallenge.com), utilizando Python. O objetivo deste desafio é criar um fluxo de

Henrique A. Lourenço 1 Apr 12, 2022
Yet Another Workflow Parser for SecurityHub

YAWPS Yet Another Workflow Parser for SecurityHub "Screaming pepper" by Rum Bucolic Ape is licensed with CC BY-ND 2.0. To view a copy of this license,

myoung34 8 Dec 22, 2022
Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.

2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou

Souradeep Banerjee 5 Oct 10, 2022
MotorcycleParts DataAnalysis python

We work with the accounting department of a company that sells motorcycle parts. The company operates three warehouses in a large metropolitan area.

NASEEM A P 1 Jan 12, 2022
Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which he recommends to buy. We will use this data to build a portfolio

Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which

Gábor Vecsei 12 Aug 30, 2022
A Python adaption of Augur to prioritize cell types in perturbation analysis.

A Python adaption of Augur to prioritize cell types in perturbation analysis.

Theis Lab 2 Mar 29, 2022
songplays datamart provide details about the musical taste of our customers and can help us to improve our recomendation system

Songplays User activity datamart The following document describes the model used to build the songplays datamart table and the respective ETL process.

Leandro Kellermann de Oliveira 1 Jul 13, 2021
BioMASS - A Python Framework for Modeling and Analysis of Signaling Systems

Mathematical modeling is a powerful method for the analysis of complex biological systems. Although there are many researches devoted on produ

BioMASS 22 Dec 27, 2022
Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.

Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.

Aryan Raj 7 Sep 04, 2022