How to use the beakerx.beakerx.plot.chart_models.HeatMapChart function in beakerx

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github twosigma / beakerx / beakerx / beakerx / plot / chart_models.py View on Github external
def limit_elements_in_row(listOfData):
        return list(map(HeatMapChart.limit_column_in_row, listOfData))
github twosigma / beakerx / beakerx / beakerx / plot / chart_models.py View on Github external
def limit_Heatmap(listOfData):
        limited_elements_in_row = HeatMapChart.limit_elements_in_row(listOfData)
        total_points = HeatMapChart.total_points(limited_elements_in_row)
        too_many_rows = total_points > HeatMapChart.ROWS_LIMIT
        if too_many_rows:
            return HeatMapChart.limit_rows(limited_elements_in_row)
        return limited_elements_in_row
github twosigma / beakerx / beakerx / beakerx / plot / chart_models.py View on Github external
def limit_Heatmap(listOfData):
        limited_elements_in_row = HeatMapChart.limit_elements_in_row(listOfData)
        total_points = HeatMapChart.total_points(limited_elements_in_row)
        too_many_rows = total_points > HeatMapChart.ROWS_LIMIT
        if too_many_rows:
            return HeatMapChart.limit_rows(limited_elements_in_row)
        return limited_elements_in_row
github twosigma / beakerx / beakerx / beakerx / plot / chart.py View on Github external
if not 'xLowerMargin' in kwargs:
            kwargs['xLowerMargin'] = 0.0
        if not 'yLowerMargin' in kwargs:
            kwargs['yLowerMargin'] = 0.0
        if not 'yUpperMargin' in kwargs:
            kwargs['yUpperMargin'] = 0.0
        if not 'xUpperMargin' in kwargs:
            kwargs['xUpperMargin'] = 0.0
        if not 'legendLayout' in kwargs:
            kwargs['legendLayout'] = LegendLayout.HORIZONTAL
        if not 'legendPosition' in kwargs:
            kwargs['legendPosition'] = LegendPosition(
                position=LegendPosition.Position.BOTTOM_RIGHT)
        self.rows_limit = rows_limit
        self.column_limit = column_limit
        self.chart = HeatMapChart(self.rows_limit, self.column_limit, **kwargs)
        color = getValue(kwargs, 'color',
                         ["#FF780004", "#FFF15806", "#FFFFCE1F"])

        if isinstance(color, GradientColor):
            self.chart.color = color.color
        else:
            self.chart.color = color

        self.chart.type = 'HeatMap'

        self.model = self.chart.transform()
github twosigma / beakerx / beakerx / beakerx / plot / chart_models.py View on Github external
def limit_Heatmap(listOfData):
        limited_elements_in_row = HeatMapChart.limit_elements_in_row(listOfData)
        total_points = HeatMapChart.total_points(limited_elements_in_row)
        too_many_rows = total_points > HeatMapChart.ROWS_LIMIT
        if too_many_rows:
            return HeatMapChart.limit_rows(limited_elements_in_row)
        return limited_elements_in_row
github twosigma / beakerx / beakerx / beakerx / plot / chart_models.py View on Github external
def __init__(self, rows_limit, column_limit, **kwargs):
        super(HeatMapChart, self).__init__(**kwargs)
        self.rows_limit = rows_limit
        self.column_limit = column_limit
github twosigma / beakerx / beakerx / beakerx / plot / chart_models.py View on Github external
def find_step_for_column(row):
        step = 2
        while (int(len(row) / step)) > HeatMapChart.COLUMN_LIMIT:
            step += 1
        return step
github twosigma / beakerx / beakerx / beakerx / plot / chart_models.py View on Github external
def limit_column_in_row(row):
        if len(row) > HeatMapChart.COLUMN_LIMIT:
            step = HeatMapChart.find_step_for_column(row)
            limited_row = list(map(lambda index: row[index],
                                   filter(lambda s: s % step == 0,
                                          [index for index in range(len(row))])))
            return limited_row
        else:
            return row
github twosigma / beakerx / beakerx / beakerx / plot / chart_models.py View on Github external
def limit_Heatmap(listOfData):
        limited_elements_in_row = HeatMapChart.limit_elements_in_row(listOfData)
        total_points = HeatMapChart.total_points(limited_elements_in_row)
        too_many_rows = total_points > HeatMapChart.ROWS_LIMIT
        if too_many_rows:
            return HeatMapChart.limit_rows(limited_elements_in_row)
        return limited_elements_in_row