導(dǎo)入工具包

import matplotlib as mpl import matplotlib.pyplot as plt from matplotlib.patches import ConnectionPatch from mpl_toolkits.axes_grid1.inset_locator import inset_axes

配置matplotlib字體

config = {"font.family": "SimSun","font.size": 14,"mathtext.fontset": "stix"} mpl.rcParams.update(config)

導(dǎo)入數(shù)據(jù)

x_data = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24] y_data_1 = [8.179,7.345,7.029,6.751,6.611,6.507,6.319,6.196,6.086,6.006,5.923,5.81,5.76,5.705,5.644,5.583,5.523,5.436,5.485,5.378,5.343,5.309,5.257,] y_data_2 = [7.191,6.637,6.292,6.112,6.094,5.74,5.709,5.667,5.583,5.506,5.41,5.307,5.239,5.303,5.282,5.11,5.075,5.083,4.971,4.976,4.993,4.963,5.138]

創(chuàng)建畫(huà)布

fig, ax = plt.subplots(1, 1)

?繪圖

ax.plot(x_data, y_data_1, linestyle=":",color="r", linewidth=1.5,marker="o",markersize=5,markeredgecolor="black",markerfacecolor="C3")ax.plot(x_data, y_data_2, linestyle=":",color="g", linewidth=1.5,marker="o",markersize=5,markeredgecolor="black",markerfacecolor="C2") ax.legend(labels=["訓(xùn)練集", "測(cè)試集"], ncol=2, loc="lower left") plt.xlabel("訓(xùn)練輪次", fontsize=14, fontdict={"family": "SimSun", "size": 14}) plt.ylabel("損失", fontsize=14, fontdict={"family": "SimSun", "size": 14})

在大圖上繪制要放大的區(qū)域

sx = [20, 24, 24, 20, 20] sy = [4.9, 4.9, 5.5, 5.5, 4.9] plt.plot(sx, sy, lw=2, c="black")

插入子坐標(biāo)并繪圖

axins = inset_axes(ax, width="40%", height="30%", loc='lower left',bbox_to_anchor=(0.4, 0.6, 1, 1),bbox_transform=ax.transAxes) axins.plot(x_data, y_data_1, linestyle=":",color="r", linewidth=1.5,marker="o",markersize=5,markeredgecolor="black",markerfacecolor="C3") axins.plot(x_data, y_data_2, linestyle=":",color="g", linewidth=1.5,marker="o",markersize=5,markeredgecolor="black",markerfacecolor="C2") axins.set_xlim(20, 24) axins.set_ylim(4.9, 5.5)

給極值處添加標(biāo)簽

axins.annotate("訓(xùn)練集上的最小損失5.257",ha="center",va="bottom",xytext=(20, 5.2),xy=(24, 5.257),arrowprops={'facecolor': 'red', 'shrink': 0.05} ) axins.annotate("測(cè)試集上的最小損失4.963",ha="center",va="bottom",xytext=(20, 5.05),xy=(23, 4.963),arrowprops={'facecolor': 'red', 'shrink': 0.05} )

繪制放大圖與原圖像之間的連線

xy = (20, 5.5) xy2 = (20, 4.9) con = ConnectionPatch(xyA=xy2, xyB=xy, coordsA="data", coordsB="data",axesA=axins, axesB=ax) axins.add_artist(con)xy = (24, 5.5) xy2 = (24, 4.9) con = ConnectionPatch(xyA=xy2, xyB=xy, coordsA="data", coordsB="data",axesA=axins, axesB=ax) axins.add_artist(con)

保存圖像

plt.savefig("loss.PNG", dpi=300, bbox_inches="tight") plt.show()

總結(jié)

以上是生活随笔為你收集整理的matplotlib绘制局部放大图的全部?jī)?nèi)容，希望文章能夠幫你解決所遇到的問(wèn)題。

如果覺(jué)得生活随笔網(wǎng)站內(nèi)容還不錯(cuò)，歡迎將生活随笔推薦給好友。