def plot_data_cdfs()

in cluster-trace-gpu-v2020/analysis/utils.py [0:0]

• 26 lines of code
• 16 McCabe index (conditional complexity)

def plot_data_cdfs(data, datalabel=None, inverse=False, xlabel=None, title=None, xlog=False, ylog=False, xticks=None, figsize=(4,3), dpi=120, xlim=None, ylim=None, ylabel=None, yticks=None, savefig=None, loc='best', fontsize=None):
    plt.figure(figsize=figsize, dpi=dpi)
    for i, d in enumerate(data):
        if type(data) == pd.DataFrame:
            d.dropna(inplace=True)
        x, y = get_cdf(d, inverse)
        label = datalabel[i] if datalabel is not None else None
        plt.plot(x, y, label=label, linestyle=linestyle_list[i % len(linestyle_list)][1])
    if datalabel is not None: plt.legend(loc=loc, fontsize=fontsize)
    if xlog: plt.xscale('log')
    if ylog: plt.yscale('log')
    plt.ylim(0, 100) if ylim is None else plt.ylim(ylim)
    if xlim is not None: plt.xlim(xlim)
    if xlabel is not None: plt.xlabel(xlabel)
    if ylabel is None:
        plt.ylabel('CCDF') if inverse is True else plt.ylabel('CDF')
    else:
        plt.ylabel(ylabel)
    if title is not None: plt.title(title)
    if xticks is not None: plt.xticks(xticks)
    if yticks is not None: plt.yticks(yticks)
    plt.grid(alpha=.3, linestyle='--')
    if savefig is not None:
        plt.savefig('/tmp/figures/{}.pdf'.format(savefig),bbox_inches='tight')
    else:
        plt.show()