python绘制折线图（多条）

最新推荐文章于 2025-09-04 11:21:12 发布

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本案例展示了如何使用Python的matplotlib库绘制不同长度下训练集与测试集的F1分数对比图表，通过直观的视觉效果，清晰地展现了各长度对应的F1分数变化趋势。

# encoding=utf-8
from matplotlib import pyplot
import matplotlib.pyplot as plt

names = range(8,21)
names = [str(x) for x in list(names)]

x = range(len(names))
y_train = [0.840,0.839,0.834,0.832,0.824,0.831,0.823,0.817,0.814,0.812,0.812,0.807,0.805]
y_test  = [0.838,0.840,0.840,0.834,0.828,0.814,0.812,0.822,0.818,0.815,0.807,0.801,0.796]
#plt.plot(x, y, 'ro-')
#plt.plot(x, y1, 'bo-')
#pl.xlim(-1, 11)  # 限定横轴的范围
#pl.ylim(-1, 110)  # 限定纵轴的范围


plt.plot(x, y_train, marker='o', mec='r', mfc='w',label='uniprot90_train')
plt.plot(x, y_test, marker='*', ms=10,label='uniprot90_test')
plt.legend()  # 让图例生效
plt.xticks(x, names, rotation=1)

plt.margins(0)
plt.subplots_adjust(bottom=0.10)
plt.xlabel('the length') #X轴标签
plt.ylabel("f1") #Y轴标签
pyplot.yticks([0.750,0.800,0.850])
#plt.title("A simple plot") #标题
plt.savefig('D:\\f1.jpg',dpi = 900)

结果展示：