def createLinePlot()

in analysis/webservice/algorithms/TimeSeries.py [0:0]
40 lines of code
12 McCabe index (conditional complexity)

    def createLinePlot(self):
        nseries = len(self.meta())
        res = self.results()
        meta = self.meta()

        timeSeries = [datetime.fromtimestamp(m[0]["time"] / 1000) for m in res]

        means = [[np.nan] * len(res) for n in range(0, nseries)]

        plotSeries = self.computeOptions().get_plot_series() if self.computeOptions is not None else None
        if plotSeries is None:
            plotSeries = "mean"

        for n in range(0, len(res)):
            timeSlot = res[n]
            for seriesValues in timeSlot:
                means[seriesValues['ds']][n] = seriesValues[plotSeries]

        x = timeSeries

        fig, axMain = plt.subplots()
        fig.set_size_inches(11.0, 8.5)
        fig.autofmt_xdate()

        title = ', '.join(set([m['title'] for m in meta]))
        sources = ', '.join(set([m['source'] for m in meta]))
        dateRange = "%s - %s" % (timeSeries[0].strftime('%b %Y'), timeSeries[-1].strftime('%b %Y'))

        axMain.set_title("%s\n%s\n%s" % (title, sources, dateRange))
        axMain.set_xlabel('Date')
        axMain.grid(True)
        axMain.xaxis.set_major_locator(mdates.YearLocator())
        axMain.xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))
        axMain.xaxis.set_minor_locator(mdates.MonthLocator())
        axMain.format_xdata = mdates.DateFormatter('%Y-%m-%d')

        plots = []

        for n in range(0, nseries):
            if n == 0:
                ax = axMain
            else:
                ax = ax.twinx()

            plots += ax.plot(x, means[n], color=self.__SERIES_COLORS[n], zorder=10, linewidth=3, label=meta[n]['title'])
            ax.set_ylabel(meta[n]['units'])

        labs = [l.get_label() for l in plots]
        axMain.legend(plots, labs, loc=0)

        sio = StringIO()
        plt.savefig(sio, format='png')
        return sio.getvalue()