df_desc=pd.DataFrame()
df_desc_no_out=pd.DataFrame()
for cur_tg in tqdm(df.teachers_group.unique()):
    if cur_tg=='Математика':
        frame_tg=df[df.teachers_group==cur_tg]
        fig_subject_stats = plotly.tools.make_subplots(rows=6, cols=1, print_grid=False, subplot_titles=('Без выбросов',
                                                                                                   'Все',
                                                                                                   'Без выбросов. Распределение рабочих часов.',
                                                                                                   'Все. Распределение рабочих часов.',
                                                                                                   'Без выбросов. Распределение кол-ва проверенных работ.',
                                                                                                   'Все. Распределение кол-ва проверенных работ.'
                                                                                                  ))

        for grade in frame_tg.grade.unique():
            name=cur_tg+' '+grade
            ########
            frame=frame_tg[frame_tg.grade==grade]
            frame['no_out']=~np.abs((frame.per_hour-frame.per_hour.mean()) < (2*frame.per_hour.std()))
            #
            df_desc=df_desc.append(pd.Series(frame.per_hour.describe(), name=grade))
            df_desc_no_out=df_desc_no_out.append(pd.Series(frame[frame.no_out].per_hour.describe(), name=grade))
            ########
            trace_no_out = go.Box(y=frame[frame.no_out].per_hour, name=grade+' Без выбросов')
            fig_subject_stats.append_trace(trace_no_out, 1, 1)
            #
            trace = go.Box(y=frame.per_hour, name=grade+' Все')
            fig_subject_stats.append_trace(trace, 2, 1)

        trace_line2 = go.Scatter(x=df_desc_no_out.index+' Без выбросов', y=df_desc_no_out['mean'].values, name='Среднее. Без выбросов.')
        fig_subject_stats.append_trace(trace_line2, 1, 1)

        trace_line = go.Scatter(x=df_desc.index+' Все', y=df_desc['mean'].values, name='Среднее. Все.')
        fig_subject_stats.append_trace(trace_line, 2, 1)

        ########
        frame_tg['no_out']=~np.abs((frame_tg.per_hour-frame_tg.per_hour.mean()) < (2*frame_tg.per_hour.std()))
        ########
        trace_hours_no_out = go.Histogram(x=frame_tg[frame_tg.no_out].count_hours_check.values,
                  name='Рабочих часов в среднем. Без выбросов.')
        fig_subject_stats.append_trace(trace_hours_no_out, 3, 1)
        trace_hours_all = go.Histogram(x=frame_tg.count_hours_check.values,
                  name='Рабочих часов в среднем. Все.')
        fig_subject_stats.append_trace(trace_hours_all, 4, 1)
        #

        ########
        trace_ph_no_out = go.Histogram(x=frame_tg[frame_tg.no_out].per_hour.values,
                  name='Проверенно в час. Без выбросов.')
        fig_subject_stats.append_trace(trace_ph_no_out, 5, 1)
        #
        trace_ph_all = go.Histogram(x=frame_tg.per_hour.values,
                  name='Проверенно в час. Все.')
        fig_subject_stats.append_trace(trace_ph_all, 6, 1)
        ########

        fig_subject_stats['layout'].update(title=cur_tg,
                                           height=3000,
                                          xaxis5=dict(range=[0, 50], tickvals=list(range(0, 50))),
                                          xaxis6=dict(range=[0, 50], tickvals=list(range(0, 50))))



        if check=='y':
            #iplot(fig_subject_stats, filename=path+cur_tg+'.html')
            plotly.offline.plot(fig_subject_stats, filename=path+cur_tg+'.html', auto_open=False)
            print('Сохранен',path+cur_tg+'.html')
        elif check=='n':
            iplot(fig_subject_stats,filename=False)
        else:
            print('y или n только')
            raise