Function mean_diff_time_func

news2.py:87–91

(df, col)

user_click_merge = user_click_merge.sort_values('click_timestamp')

def mean_diff_time_func(df, col):
    df = pd.DataFrame(df, columns=[col])
    df['time_shift1'] = df[col].shift(1).fillna(0)
    df['diff_time'] = abs(df[col] - df['time_shift1'])
    return df['diff_time'].mean()

mean_diff_click_time = user_click_merge.groupby('user_id').apply(lambda x: mean_diff_time_func(x, 'click_timestamp'))
plt.plot(sorted(mean_diff_click_time.values, reverse=True))