def commit_history(self, branch, limit=None, days=None, ignore_globs=None, include_globs=None):
        """
        Returns a pandas DataFrame containing all of the commits for a given branch. The results from all repositories
        are appended to each other, resulting in one large data frame of size <limit>.  If a limit is provided, it is
        divided by the number of repositories in the project directory to find out how many commits to pull from each
        project. Future implementations will use date ordering across all projects to get the true most recent N commits
        across the project.

        Included in that DataFrame will be the columns:

         * repository
         * date (index)
         * author
         * committer
         * message
         * lines
         * insertions
         * deletions
         * net

        :param branch: the branch to return commits for
        :param limit: (optional, default=None) a maximum number of commits to return, None for no limit
        :param days: (optional, default=None) number of days to return if limit is None
        :param ignore_globs: (optional, default=None) a list of globs to ignore, default none excludes nothing
        :param include_globs: (optinal, default=None) a list of globs to include, default of None includes everything.
        :return: DataFrame
        """

        if limit is not None:
            limit = int(limit / len(self.repo_dirs))

        df = pd.DataFrame(columns=['author', 'committer', 'message', 'lines', 'insertions', 'deletions', 'net'])

        for repo in self.repos:
            try:
                ch = repo.commit_history(branch, limit=limit, days=days, ignore_globs=ignore_globs, include_globs=include_globs)
                ch['repository'] = repo.repo_name
                df = df.append(ch)
            except GitCommandError:
                print('Warning! Repo: %s seems to not have the branch: %s' % (repo, branch))

        df.reset_index()

        return df
def commit_history ( self , branch , limit = None , days = None , ignore_globs = None , include_globs = None ) : if limit is not None : limit = int ( limit / len ( self . repo_dirs ) ) df = pd . DataFrame ( columns = [ 'author' , 'committer' , 'message' , 'lines' , 'insertions' , 'deletions' , 'net' ] ) for repo in self . repos : try : ch = repo . commit_history ( branch , limit = limit , days = days , ignore_globs = ignore_globs , include_globs = include_globs ) ch [ 'repository' ] = repo . repo_name df = df . append ( ch ) except GitCommandError : print ( 'Warning! Repo: %s seems to not have the branch: %s' % ( repo , branch ) ) df . reset_index ( ) return df
Returns a pandas DataFrame containing all of the commits for a given branch. The results from all repositories
        are appended to each other, resulting in one large data frame of size <limit>.  If a limit is provided, it is
        divided by the number of repositories in the project directory to find out how many commits to pull from each
        project. Future implementations will use date ordering across all projects to get the true most recent N commits
        across the project.

        Included in that DataFrame will be the columns:

         * repository
         * date (index)
         * author
         * committer
         * message
         * lines
         * insertions
         * deletions
         * net

        :param branch: the branch to return commits for
        :param limit: (optional, default=None) a maximum number of commits to return, None for no limit
        :param days: (optional, default=None) number of days to return if limit is None
        :param ignore_globs: (optional, default=None) a list of globs to ignore, default none excludes nothing
        :param include_globs: (optinal, default=None) a list of globs to include, default of None includes everything.
        :return: DataFrame