self.plt.figure

I am sorry, as an AI language model, I do not have access to the 'self' object and the 'plt' module. Can you provide more context or code so that I can better understand your question and provide a helpful answer?

相关问题

在使用self.fig = plt.figure() self.bx = self.fig.add_subplot(1, 1, 1)创建的子图中 如何使用plt.annotate()标注文本

您可以使用以下代码在子图中标注文本：

import matplotlib.pyplot as plt

class YourClass:
    def __init__(self):
        self.fig = plt.figure()
        self.bx = self.fig.add_subplot(1, 1, 1)
        self.bx.annotate('Your text', xy=(x_coord, y_coord), xytext=(x_text, y_text),
                         arrowprops=dict(facecolor='black', shrink=0.05))

其中，'Your text' 是您要标注的文本内容；xy 是被标注点的坐标；xytext 是文本标注的位置；arrowprops 则是文本标注箭头的属性设置。您可以根据需要修改这些参数。

def draw_stats(self, vals, vals1, vals2, vals3, vals4, vals5, vals6): self.ax1 = plt.subplot(self.gs[0, 0]) self.ax1.plot(vals) self.ax1.set_xlim(self.xlim) locs = self.ax1.get_xticks() locs[0] = self.xlim[0] locs[-1] = self.xlim[1] self.ax1.set_xticks(locs) self.ax1.use_sticky_edges = False self.ax1.set_title(f'Connected Clients Ratio') self.ax2 = plt.subplot(self.gs[1, 0]) self.ax2.plot(vals1) self.ax2.set_xlim(self.xlim) self.ax2.set_xticks(locs) self.ax2.yaxis.set_major_formatter(FuncFormatter(format_bps)) self.ax2.use_sticky_edges = False self.ax2.set_title('Total Bandwidth Usage') self.ax3 = plt.subplot(self.gs[2, 0]) self.ax3.plot(vals2) self.ax3.set_xlim(self.xlim) self.ax3.set_xticks(locs) self.ax3.use_sticky_edges = False self.ax3.set_title('Bandwidth Usage Ratio in Slices (Averaged)') self.ax4 = plt.subplot(self.gs[3, 0]) self.ax4.plot(vals3) self.ax4.set_xlim(self.xlim) self.ax4.set_xticks(locs) self.ax4.use_sticky_edges = False self.ax4.set_title('Client Count Ratio per Slice') self.ax5 = plt.subplot(self.gs[0, 1]) self.ax5.plot(vals4) self.ax5.set_xlim(self.xlim) self.ax5.set_xticks(locs) self.ax5.use_sticky_edges = False self.ax5.set_title('Coverage Ratio') self.ax6 = plt.subplot(self.gs[1, 1]) self.ax6.plot(vals5) self.ax6.set_xlim(self.xlim) self.ax6.set_xticks(locs) self.ax6.yaxis.set_major_formatter(FormatStrFormatter('%.3f')) self.ax6.use_sticky_edges = False self.ax6.set_title('Block ratio') self.ax7 = plt.subplot(self.gs[2, 1]) self.ax7.plot(vals6) self.ax7.set_xlim(self.xlim) self.ax7.set_xticks(locs) self.ax7.yaxis.set_major_formatter(FormatStrFormatter('%.3f')) self.ax7.use_sticky_edges = False self.ax7.set_title('Handover ratio') 能否改为一张张图片输出

可以，可以将每个子图保存为单独的图片，例如：

self.ax1.figure.savefig("connected_clients_ratio.png")

依次对每个子图进行保存即可。