figures 开太多怎么办？

More than 20 figures have been opened.

plt.cla()
plt.close("all")

示例代码

dynamicDistribution = np.ones((frames, 512, 512, 4))
dynamicDistributionDataPath = r'D:\PythonProject\QTNLS\resources\dynamicDistribution.npy'
if os.path.exists(dynamicDistributionDataPath):
    dynamicDistribution = np.load(dynamicDistributionDataPath)
else:
    for t in range(frames):
        print(t)
        G = nx.Graph()
        for i in range(numNeurons):
            for j in range(i, numNeurons):
                if dynamicMI[t,i,j] > thres:
                    G.add_edge(i,j)
        # print(G.degree())
        degree_sequence = sorted([d for n, d in G.degree()], reverse=True)
        fig, ax = plt.subplots(figsize=(4, 4), dpi=128)
        ax.bar(*np.unique(degree_sequence, return_counts=True))
        ax.set_xlim(xmin = 0, xmax = numNeurons)#度分布，最大的度就是所有人都连上了
        ax.set_ylim(ymin = 0, ymax = 15)#度分布，最大的度就是所有人都连上了
        ax.set_title("Degree histogram")
        ax.set_xlabel("Degree")
        ax.set_ylabel("# of Nodes")

        buf = io.BytesIO()
        fig.savefig(buf, format='raw', dpi=128)
        buf.seek(0)
        img_arr = np.frombuffer(buf.getvalue(), dtype=np.uint8)
        buf.close()

        plt.cla()
        plt.close("all")

        w, h = fig.canvas.get_width_height()
        im = img_arr.reshape((int(h), int(w), -1))
        im = im.transpose((1, 0, 2))
        dynamicDistribution[t,:,:,:] = im
    np.save(dynamicDistributionDataPath,dynamicDistribution)