Matplotlib dashed line horizontal line In some cases, we need to draw a horizontal line in a graph or plot. For plotting a horizontal lineaxhline()method is used. Syntax to plot horizontal line at specified date: matplotlib.pyplot,axhline(x=0, ymin=0, ymax=1, **kwargs) In the abov...
6))plt.scatter(x,y,alpha=0.5)plt.axhline(y=0.5,color='r',linestyle='--',label='Threshold')plt.title('Scatter Plot with Horizontal Reference Line - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.show()...
→ ax.legend(frameon=False) … show error as shaded region? → ax.fill_between(X, Y+error, Y‐error) … draw a rectangle? → ax.add_patch(plt.Rectangle((0, 0),1,1) … draw a vertical line? → ax.axvline(x=0.5) … draw outside frame? → ax.plot(…, clip_on=False) … ...
ax=plt.subplots()# 绘制水平柱状图bars=ax.barh(categories,values,color='skyblue')ax.bar_label(bars,labels=[f'{val*100:.2f}%'forvalinvalues])# 设置标题和标签ax.set_title('Horizontal Bar Chart with Percent Labels
2. 为axvline添加标签 虽然axvline函数本身不直接支持添加标签,但我们可以通过一些技巧来为垂直线添加说明性文本。 2.1 使用text函数添加标签 最简单的方法是使用plt.text()函数在垂直线旁边添加文本: importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,100)y=np.sin(x)*np.exp(-0.1*x)plt.fi...
# draw line # https://stackoverflow.com/questions/36470343/how-to-draw-a-line-with-matplotlib/36479941 def newline(p1, p2, color='black'): ax = plt.gca() l = mlines.Line2D([p1[0], p2[0]], [p1[1], p2[1]], color='red' if p1[1] - p2[1] > 0 else 'green', marker=...
line.set_ydata(np.sin(x)) return line, # call the animator. blit=True means only re-draw the parts that have changed. # blit=True dose not work on Mac, set blit=False # interval= update frequency #frames帧数 ani = animation.FuncAnimation(fig=fig, func=animate, frames=100, init_func...
x=np.linspace(0,10,100)y=np.sin(x)plt.figure(figsize=(10,6))plt.plot(x,y,linestyle='-',label='Solid')plt.plot(x,y+1,linestyle='--',label='Dashed')plt.plot(x,y+2,linestyle='-.',label='Dash-dot')plt.plot(x,y+3,linestyle=':',label='Dotted')plt.title('Basic Line Style...
plt.title('cjavapy Line Plot') plt.xlabel('X Axis') plt.ylabel('Y Axis') # 使用 plt.draw() 显示画布 plt.draw() # 显示图表 plt.show() 2、散点图(Scatter Plot) 绘制散点图(Scatter Plot)是一种常用的方法来探索和展示数据集中各个数据点的分布。散点图通常用于比较两个变量之间的关系。使...
# https://stackoverflow.com/questions/36470343/how-to-draw-a-line-with-matplotlib/36479941 def newline(p1, p2, color='black'): ax = plt.gca() l = mlines.Line2D([p1[0],p2[0]], [p1[1],p2[1]], color='red' if p1[1]-p2[1] > 0 else 'green', marker='o', markersize=6...