git-pandas 0.0.1

A utility for interacting with data from git repositories as Pandas dataframes

Git-Pandas
==========

v0.0.1

A simple set of wrappers around gitpython for creating pandas dataframes out of git data. The project is centered around
two primary objects:

* Repository()
* ProjectDirectory()

A Repository object contains a single git repo, and is used to interact with it. A ProjectDirectory references a directory
in your filesystem which may have in it multiple git repositories. The subdirectories are all walked to find any child
repos, and any analysis is aggregated up from all of those into a single output (pandas dataframe).

Current functionality includes:

* Commit history with extension and directory filtering
* Blame with extension and directory filtering

Please see examples for more detailed usage.

Installation
------------

To install use:

pip install git-pandas


Examples / Usage
----------------

A repository is just 1 git repo:

from git import Repo
import os
from pandas import DataFrame, to_datetime, set_option
import datetime
import sys
import numpy as np

set_option('display.height', 1000)
set_option('display.max_rows', 500)
set_option('display.max_columns', 500)
set_option('display.width', 1000)

# build an example repository object and try some things out
dir = ''
ignore_dirs = [
'docs',
'tests',
'Data'
]
r = Repository(dir)

# is it bare?
print('\nRepo bare?')
print(r.is_bare())
print('\n')

# get the commit history
ch = r.commit_history('develop', limit=None, extensions=['py'], ignore_dir=ignore_dirs)
print(ch.head(5))

# get the list of committers
print('\nCommiters:')
print(''.join([str(x) + '\n' for x in set(ch['committer'].values)]))
print('\n')

# print out everyone's contributions
attr = ch.reindex(columns=['committer', 'lines', 'insertions', 'deletions']).groupby(['committer'])
attr = attr.agg({
'lines': np.sum,
'insertions': np.sum,
'deletions': np.sum
})
print(attr)

# get the file change history
fh = r.file_change_history('develop', limit=None, ignore_dir=ignore_dirs)
fh['ext'] = fh['filename'].map(lambda x: x.split('.')[-1])
print(fh.head(50))

# print out unique extensions
print('\nExtensions Found:')
print(''.join([str(x) + '\n' for x in set(fh['ext'].values)]))
print('\n')

# agg by extension
etns = fh.reindex(columns=['ext', 'insertions', 'deletions']).groupby(['ext'])
etns = etns.agg({
'insertions': np.sum,
'deletions': np.sum
})
print(etns)

A project is a collection of repos:

import os
import sys
from git import Repo, GitCommandError
import numpy as np
from pandas import DataFrame, set_option
from gitpandas.repository import Repository

set_option('display.height', 1000)
set_option('display.max_rows', 500)
set_option('display.max_columns', 500)
set_option('display.width', 1000)

p = ProjectDirectory(working_dir='/foo/bar/')

# get the commit history
ch = p.commit_history('develop', limit=None)
print(ch.head(5))

# get the list of committers
print('\nCommiters:')
print(''.join([str(x) + '\n' for x in set(ch['committer'].values)]))
print('\n')

# print out everyone's contributions
attr = ch.reindex(columns=['committer', 'lines', 'insertions', 'deletions']).groupby(['committer'])
attr = attr.agg({
'lines': np.sum,
'insertions': np.sum,
'deletions': np.sum
})
print(attr)

Contributing
------------

If you'd like to contribute, let me know, or just submit a pull request. We have no specific long term goals or guidelines
at this stage.

License
-------

This is BSD licensed (see License.md)