Python foldの例

コード例 #1

ファイル: plot_energy.py プロジェクト: FaddliLWibowo/wiselib

def compute_boxplot(vs, experiment_interval=EXPERIMENT_INTERVAL):
    #box_entries = int(10.0 / MEASUREMENT_INTERVAL)
    box_entries = int(BOX_INTERVAL / MEASUREMENT_INTERVAL)

    ts = np.arange(len(vs)) * MEASUREMENT_INTERVAL
    #return fold(quantize(zip(ts, vs), box_entries), int(experiment_interval / (box_entries * MEASUREMENT_INTERVAL)), skip = 1)
    return fold(quantize(zip(ts, vs), box_entries), int(EXPERIMENT_INTERVAL / (box_entries * MEASUREMENT_INTERVAL)), skip = 1)

コード例 #2

def compute_boxplot(vs, experiment_interval=EXPERIMENT_INTERVAL):
    #box_entries = int(10.0 / MEASUREMENT_INTERVAL)
    box_entries = int(BOX_INTERVAL / MEASUREMENT_INTERVAL)

    ts = np.arange(len(vs)) * MEASUREMENT_INTERVAL
    return fold(quantize(zip(ts, vs), box_entries),
                int(experiment_interval /
                    (box_entries * MEASUREMENT_INTERVAL)),
                skip=1)

コード例 #3

ファイル: plot_messages.py プロジェクト: abdollatiif/wiselib

def compute_boxplot(xs):
    """
    Combine the consecutive experiments into boxes
    """
    #print(list(t_quantize(((x.t, 1) for x in xs), BOX_INTERVAL, align=EXPERIMENT_INTERVAL,
            #align_phase=12.0)))
    r = fold(
        t_quantize(((x.t, 1) for x in xs), BOX_INTERVAL, align=EXPERIMENT_INTERVAL,
            align_phase=12.0),
        int(EXPERIMENT_INTERVAL / BOX_INTERVAL)
    )

    #r = list(r)
    #print(r)

    return r

コード例 #4

def compute_boxplot(xs):
    """
    Combine the consecutive experiments into boxes
    """
    #print(list(t_quantize(((x.t, 1) for x in xs), BOX_INTERVAL, align=EXPERIMENT_INTERVAL,
            #align_phase=12.0)))
    r = fold(
        t_quantize(((x.t, 1) for x in xs), BOX_INTERVAL, align=EXPERIMENT_INTERVAL,
            align_phase=12.0),
        int(EXPERIMENT_INTERVAL / BOX_INTERVAL)
    )

    #r = list(r)
    #print(r)

    return r