Exemplo n.º 1
0
    def get_chart(self, records, garden):
        df = pd.DataFrame.from_records(records.values('recipes_count', 'recorded'),
                                       coerce_float=True)

        qdf = df.groupby('recorded').sum()['recipes_count']
        return horizontal_bar(qdf, make_chart_name('recipes', garden),
                              xlabel='TOTAL RECIPES')
Exemplo n.º 2
0
    def get_chart(self, records, garden):
        df = pd.DataFrame.from_records(records.values('crop__name', 'quantity',
                                                      'recorded'),
                                       coerce_float=True)

        qdf = df.groupby('crop__name').sum()['quantity']
        return horizontal_bar(qdf, make_chart_name('cropcount', garden))
Exemplo n.º 3
0
    def get_chart(self, records, garden):
        df = pd.DataFrame.from_records(records.values('recipes_count',
                                                      'recorded'),
                                       coerce_float=True)

        qdf = df.groupby('recorded').sum()['recipes_count']
        return horizontal_bar(qdf,
                              make_chart_name('recipes', garden),
                              xlabel='TOTAL RECIPES')
    def get_chart(self, records, garden):
        df = pd.DataFrame.from_records(records.values('crop__name', 'weight', 'recorded'),
                                       coerce_float=True)

        qdf = df.groupby('crop__name').sum()['weight']
        qdf = qdf.apply(lambda x: to_preferred_weight_units(x, garden, force_large_units=True).magnitude)
        units = preferred_weight_units(garden, large=True)
        return horizontal_bar(qdf, make_chart_name('harvestcount', garden),
                              xlabel=('%s harvested' % units).upper())
    def get_chart(self, records, garden):
        df = pd.DataFrame.from_records(records.values('crop__name', 'weight',
                                                      'recorded'),
                                       coerce_float=True)

        qdf = df.groupby('crop__name').sum()['weight']
        qdf = qdf.apply(lambda x: to_preferred_weight_units(
            x, garden, force_large_units=True).magnitude)
        units = preferred_weight_units(garden, large=True)
        return horizontal_bar(qdf,
                              make_chart_name('harvestcount', garden),
                              xlabel=('%s harvested' % units).upper())
Exemplo n.º 6
0
    def get_chart(self, records, garden):
        df = pd.DataFrame.from_records(records.values('crop__name', 'quantity', 'recorded'),
                                       coerce_float=True)

        qdf = df.groupby('crop__name').sum()['quantity']
        return horizontal_bar(qdf, make_chart_name('cropcount', garden))
Exemplo n.º 7
0
    def get_chart(self, records, garden):
        df = pd.DataFrame.from_records(records.values('total_price', 'recorded'),
                                       coerce_float=True)

        qdf = df.groupby('recorded').sum()['total_price']
        return horizontal_bar(qdf, make_chart_name('sales', garden))