pybaseball | Pull current and historical baseball statistics using Python | Analytics library

 by   jldbc Python Version: 2.2.7 License: MIT

kandi X-RAY | pybaseball Summary

kandi X-RAY | pybaseball Summary

pybaseball is a Python library typically used in Analytics, Pandas applications. pybaseball has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. However pybaseball has 1 bugs. You can install using 'pip install pybaseball' or download it from GitHub, PyPI.

Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
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              pybaseball has a medium active ecosystem.
              It has 896 star(s) with 271 fork(s). There are 59 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 37 open issues and 124 have been closed. On average issues are closed in 91 days. There are 18 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pybaseball is 2.2.7

            kandi-Quality Quality

              pybaseball has 1 bugs (0 blocker, 0 critical, 0 major, 1 minor) and 42 code smells.

            kandi-Security Security

              pybaseball has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pybaseball code analysis shows 0 unresolved vulnerabilities.
              There are 10 security hotspots that need review.

            kandi-License License

              pybaseball is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pybaseball releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              pybaseball saves you 649 person hours of effort in developing the same functionality from scratch.
              It has 1507 lines of code, 112 functions and 21 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pybaseball and discovered the below as its top functions. This is intended to give you an instant insight into pybaseball implemented functionality, and help decide if they suit your requirements.
            • Return a pandas DataFrame containing the pitching data for a given season
            • Get information about a player
            • Download and return a BeautifulSoup object
            • Download a URL
            • Fetch data from one or more season
            • Convert a string to a list of statuses
            • Safely parse the value
            • Parse enum value
            • Creates a swipe chart
            • Try to parse a value
            • Try to parse data
            • Return a list of event files for a given season
            • Return a pandas DataFrame containing all roster rosters for a given season
            • Returns a pandas DataFrame with statcast
            • Takes a pandas dataframe and returns a pandas DataFrame of rolling_counts
            • Return a pandas DataFrame containing the Retrosheet for a given season
            • Return season game game logs
            • Returns a Pandas DataFrame containing the most recent prospects
            • Get data for team game
            • Get a list of dates
            • Return the spin data for a statcast pitch
            • Reverse a list of player ids
            • Get a dataframe of players
            • Get the pitching stats for a given season
            • Downloads statcast data from a given url
            • Returns the batting stats for the given season
            Get all kandi verified functions for this library.

            pybaseball Key Features

            No Key Features are available at this moment for pybaseball.

            pybaseball Examples and Code Snippets

            Change barpolot color in seaborn based on a range of x values (Python)
            Pythondot img1Lines of Code : 4dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            palette=['blue' if val in range(1996,2012) else 'green' if val in range(2012,2018) else 'orange' for val in sorted(df_season_era['Season'].tolist())]
            
            sns.barplot('Season', 'ERA', data=df_season_era, palette=palette)
            
            Pybaseball: Extract standings data and save to disk using pandas
            Pythondot img2Lines of Code : 46dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from pybaseball import standings
            import pandas as pd
            
            data = standings()
            print type(data)
            print type(data[0])
            
            
            
            
            all_data = pd.concat(data)
            print all_data
            all_data.to_csv("baseball_data.csv"

            Community Discussions

            QUESTION

            Python not recignizing module installed with pip
            Asked 2022-Jan-17 at 17:51

            I'm trying to install the pybaseball package to practice learning python with some baseball data. I created a new python project with a python3.9 interpreter. I then installed pybaseball with:

            ...

            ANSWER

            Answered 2022-Jan-17 at 17:51

            The comments were helpful and installing pybaseball to the python executable for pythonProject4 solves the issue and it is now recognized

            Source https://stackoverflow.com/questions/70744536

            QUESTION

            Change barpolot color in seaborn based on a range of x values (Python)
            Asked 2021-Jun-20 at 07:19

            I am trying to make a seaborn barplot that plots values (baseball team ERA's) from different years - and then highlight the bars based on the year ranges under different management.

            My data frame looks like this:

            ...

            ANSWER

            Answered 2021-Jun-19 at 05:16
            import numpy as np, matplotlib.pyplot as plt, seaborn as sns
            sns.set(style="whitegrid", color_codes=True)
            
            titanic = sns.load_dataset("titanic")
            data = titanic.groupby("deck").size()   # data underlying bar plot in question
            
            pal = sns.color_palette("Greens_d", len(data))
            rank = data.argsort().argsort()   # http://stackoverflow.com/a/6266510/1628638
            sns.barplot(x=data.index, y=data, palette=np.array(pal[::-1])[rank])
            
            plt.show()
            

            Source https://stackoverflow.com/questions/68043827

            QUESTION

            What does ... mean in Python?
            Asked 2021-Apr-14 at 16:29

            I am an elementary Python programmer and have been using this module called "Pybaseball" to analyze sabermetrics data. When using this module, I came across a problem when trying to retrieve information from the program. The program reads a CSV file from any baseball stats site and outputs it onto a program for ease of use but the problem is that some of the information is not shown and is instead all replaced with a "...". An example of this is shown:

            ...

            ANSWER

            Answered 2021-Apr-14 at 16:29

            As the docs states, head() is meant for "quickly testing if your object has the right type of data in it." So, it is expected that some data may not show because it is collapsed.

            If you need to analyze the data with more detail you can access specific columns with other methods. For example, using iloc(). You can read more about it here, but essentially you can "ask" for a slice of those columns and then apply a new slice to get only nrows.

            Another example would be loc(), docs here. The main difference being that loc() uses labels (column names) to filter data instead of numerical order of columns. You can filter a subset of specific columns and then get a sample of rows from that.

            So, to answer your question "..." is pandas's way of collapsing data in order to get a prettier view of the results.

            Source https://stackoverflow.com/questions/67094359

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pybaseball

            Pybaseball can be installed via pip:.

            Support

            So far this has provided a basic overview of what this package can do and how you can use it. For full documentation on available functions and their arguments, see the docs folder.
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            Install
          • PyPI

            pip install pybaseball

          • CLONE
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            https://github.com/jldbc/pybaseball.git

          • CLI

            gh repo clone jldbc/pybaseball

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            git@github.com:jldbc/pybaseball.git

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