Time Series Customization

    Let's explore more options by SlickReportView.
    ``__time_series__`` special column name
    And
    ``plot_total`` chart setting
    

class TimeSeriesCustomization(SlickReportView):
    
    report_model = SalesLineTransaction
    date_field = 'transaction_date'
    group_by = 'product'
    columns = ['name',
               '__time_series__',
               # __time_series__ is special column name used to control the placing of the time series columns inside your columns.
               # Default would be appended to the end of the columns.
               SlickReportField.create(Sum, 'value', name='value__sum', verbose_name=_('Grand Sum')),
               ]

    time_series_pattern = 'monthly'
    time_series_columns = [
        SlickReportField.create(Sum, 'value', name='value__sum', verbose_name=_('Sum per month'))
    ]

    chart_settings = [
        {'type': 'bar',
         'data_source': ['value__sum'],
         'title_source': ['name'],
         'title': 'Total quantities per month',
         'plot_total': True  # Plot Totals !
         },
        {'type': 'bar',
         'data_source': ['value__sum'],
         'title_source': ['name'],
         'title': 'Quantities per product per month'
         }
    ]

                

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Live Example

Filters

From date

To date

Client

Client 0 Client 1 Client 2 Client 3 Client 4 Client 5 Client 6 Client 7 Client 8 Client 9

Product

Product 0 Product 1 Product 2 Product 3 Product 4 Product 5 Product 6 Product 7 Product 8 Product 9

Results