utils4text.py
def compute_turn_distribution(df):
    """
    Given a conversation dataframe from a subreddit (note that the dataframe is in the concise format indicated by Supervisor),
    find out the dialog turn distribution.

    Arg:
        df: A conversation dataframe from a subreddit.
    Return:
        turn_dist: A series about dialog turn distribution.
    """
    turn_dist = df.groupby('conversation id').size().value_counts().sort_index()
    turn_dist = pd.DataFrame(turn_dist).reset_index().rename(columns = {'index': 'turns', 0: 'count'})

    return turn_dist

    Given a conversation dataframe from a subreddit (note that the dataframe is in the concise format indicated by Supervisor),
    find out the dialog turn distribution.

    Arg:
        df: A conversation dataframe from a subreddit.
    Return:
        turn_dist: A series about dialog turn distribution.
    
Given a conversation dataframe from a subreddit (note that the dataframe is in the concise format indicated by Supervisor),
find out the dialog turn distribution.

A conversation dataframe from a subreddit.
Return:
turn_dist: A series about dialog turn distribution.
Given a conversation dataframe from a subreddit ( note that the dataframe is in the concise format indicated by Supervisor ) find out the dialog turn distribution . A conversation dataframe from a subreddit . Return : turn_dist : A series about dialog turn distribution .
def compute_turn_distribution(df):
    turn_dist = df.groupby('conversation id').size().value_counts().sort_index()
    turn_dist = pd.DataFrame(turn_dist).reset_index().rename(columns = {'index': 'turns', 0: 'count'})
    return turn_dist
def compute_turn_distribution ( df ) : turn_dist = df . groupby ( 'conversation id' ) . size ( ) . value_counts ( ) . sort_index ( ) turn_dist = pd . DataFrame ( turn_dist ) . reset_index ( ) . rename ( columns = { 'index' : 'turns' , 0 : 'count' } ) return turn_dist
Given a conversation dataframe from a subreddit (note that the dataframe is in the concise format indicated by Supervisor),
find out the dialog turn distribution.
Given a conversation dataframe from a subreddit ( note that the dataframe is in the concise format indicated by Supervisor ) find out the dialog turn distribution .
"""
    Given a conversation dataframe from a subreddit (note that the dataframe is in the concise format indicated by Supervisor),
    find out the dialog turn distribution.

    Arg:
        df: A conversation dataframe from a subreddit.
    Return:
        turn_dist: A series about dialog turn distribution.
    """
df