gistfile1.txt

def get_plot(data_feed, data_msg, data_dau_all, data_new_users):
    data = pd.merge(data_feed, data_msg, on='date')
    data = pd.merge(data, data_dau_all, on='date')
    data = pd.merge(data, data_new_users, on='date')

    data['events_app'] = data['events']+data['msg']

    plt_obj_all = []

    fig, axes = plt.subplots(3, figsize = (10, 14))
    fig.suptitle('Statistics for the entire application for 7 days')
    app_dict = {0:{'y': ['events_app'], 'title': 'Events'},
                1:{'y': ['users', 'users_ios', 'users_and'], 'title': 'DAU'},
                2:{'y': ['users', 'new_users_ads', 'new_users_organic'], 'title': 'New users'}
    }

    for i in range(3):
        for y in app_dict[i]['y']:
            sns.lineplot(ax=axes[i], data=data, x='date', y=y)
        axes[i].set_title(app_dict[(i)]['title'])
        axes[i].set_xlabel(None)
        axes[i].set_ylabel(None)
        axes[i].legend(app_dict[i]['y'])
        for ind, label in enumerate(axes[i].get_xticklabels()):
            if ind % 3 == 0:
                label.set_visible(True)
            else:
                label.set_visible(False)

    plt_obj = io.BytesIO()
    plt.savefig(plt_obj)
    plt_obj.name = 'app_stat.png'
    plt_obj.seek(0)
    plt.close()
    plt_obj_all.append(plt_obj)
    #feed
    fig, axes = plt.subplots(2, 2, figsize=(15, 14))
    fig.suptitle('Statistics on the application feed for 7 days')
    plot_dict = {(0, 0): {'y': 'users_feed', 'title': 'Unique users'},
                 (0, 1): {'y': 'likes', 'title': 'Likes'},
                 (1, 0): {'y': 'views', 'title': 'Views'},
                 (1, 1): {'y': 'CTR', 'title': 'CTR'}}

    for i in range(2):
        for j in range(2):
            sns.lineplot(ax=axes[i, j], data=data, x='date', y=plot_dict[(i, j)]['y'])
            axes[i, j].set_title(plot_dict[(i, j)]['title'])
            axes[i, j].set_xlabel(None)
            axes[i, j].set_ylabel(None)
            for ind, label in enumerate(axes[i, j].get_xticklabels()):
                if ind % 3 == 0:
                    label.set_visible(True)
                else:
                    label.set_visible(False)

    plt_obj = io.BytesIO()
    plt.savefig(plt_obj)
    plt_obj.name = 'feed_stat.png'
    plt_obj.seek(0)
    plt.close()
    plt_obj_all.append(plt_obj)
    #messenger
    fig, axes = plt.subplots(3, figsize=(10, 14))
    fig.suptitle('Messenger app statistics for 7 days')
    msg_dict = {0: {'y': 'users_msg', 'title': 'DAU'},
                1: {'y': 'msg', 'title': 'Messages'},
                2: {'y': 'mpu', 'title': 'Messages per user'}
                }

    for i in range(3):
        sns.lineplot(ax=axes[i], data=data, x='date', y=msg_dict[i]['y'])
        axes[i].set_title(msg_dict[(i)]['title'])
        axes[i].set_xlabel(None)
        axes[i].set_ylabel(None)
        for ind, label in enumerate(axes[i].get_xticklabels()):
            if ind % 3 == 0:
                label.set_visible(True)
            else:
                label.set_visible(False)

    plt_obj = io.BytesIO()
    plt.savefig(plt_obj)
    plt_obj.name = 'msg_stat.png'
    plt_obj.seek(0)
    plt.close()
    plt_obj_all.append(plt_obj)
    return plt_obj_all