更改轴以在Seaborn中使用对数刻度

使用以下脚本：

ticks = ['1', '2', '4', '8', '16']
resize = [1, 2 ,4 ,8 ,16]
batch_size = [1 ,2 ,4, 8, 16]

def main():
    headers = ["RESIZE FACTOR", "BATCH SIZE", "FPS", "TOL", "GAIN"]

    graph = []

    for rs in resize:
        for bs in batch_size:
            fps = random()
            tol = random()

            gain = 100*(fps+tol)
            curr = [rs, bs, fps, tol, gain]

            graph.append(curr)

    graph_df = pd.DataFrame(graph, columns=headers)

    sns.scatterplot(data=graph_df,
                    x="RESIZE FACTOR",
                    y="BATCH SIZE",
                    size="GAIN",
                    edgecolor='none'
                    )

    plt.xticks(resize, ticks)
    plt.yticks(resize, ticks)
    plt.autoscale(False)

    plt.xlabel("RESIZE FACTOR")
    plt.ylabel("BATCH SIZE")

    plt.show()

我产生以下图：

有没有一种方法可以消除刻度线之间的间距并以相等的间距显示我需要的值？