x=np.linspace(0,10,20)y=np.sin(x)*np.exp(-0.1*x)plt.figure(figsize=(8,6))plt.plot(x,y,'o',linestyle='None',label='how2matplotlib.com')plt.title('Markers Without Line')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.grid(True)plt.show() Python Copy Output: 在这...
Plotting Without LineTo plot only the markers, you can use shortcut string notation parameter 'o', which means 'rings'.Example Draw two points in the diagram, one at position (1, 3) and one in position (8, 10): import matplotlib.pyplot as plt import numpy as np xpoints = np.array...
给图做图例,只需要在plt.plot()加上label参数即可,然后执行plt.legend()即可 x=np.linspace(-2,2,50) y1=2*x+1 y2=x**2 plt.plot(x,y2,label='up') plt.plot(x,y1,color='red',linewidth=1.0,linestyle='--',label='down') plt.legend() plt.show() 1. 2. 3. 4. 5. 6. 7. 运行...
Call signatures:: plot([x], y, [fmt], data=None, **kwargs) plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs) The coordinates of the points or line nodes are given by *x*, *y*. The optional parameter *fmt* is a convenient way for defining basic formatting like...
You can use the keyword argumentlinewidthor the shorterlwto change the width of the line. The value is a floating number, in points: Example Plot with a 20.5pt wide line: importmatplotlib.pyplotasplt importnumpyasnp ypoints = np.array([3,8,1,10]) ...
plot1.show(frame=True,legend_loc='lower right',legend_markerscale=0.6,legend_font_size=10) 本来自己的原意是在legend中只出现1个圆点,1个点代表在这个二维空间中出现的10个点的意思是”Original Data Points“ ,但结果是出现了3个点,影响可读性。
# plot line between points #ax.plot([x1,x2],[y1,y2], color = 'black', linestyle = '--', linewidth = 0.5) ax.quiver([x1, x2], [y1, y2]) scale_units选项,您需要:angles='xy', scale_units='xy', scale=1在quiver中:
[_*2 for _ in xdata] plt.plot(xdata, ydata, 'b') # 添加水平线 plt.axhline(y=5, xmin=0.1, xmax=0.9 ,color='red') # 添加竖直线 plt.axvline(x=5, ymin=0.1, ymax=0.9, color='orange') plt.grid() plt.show() 收藏评论 隐藏坐标轴和边框¶ 评论 参考:https://www.delft...
# 简写 :只写一个轴坐标,默认y轴(x轴自增) plt.plot([2, 5, 1, 8, 4]) 1. 2. [<matplotlib.lines.Line2D at 0x5407358>] 1. 线条和标记节点样式 标记字符:标记线条中的点 线条颜色:color='g' 线条风格:linestyle='--' 线条粗细:linewidth=5.0 标记风格:marker='o' 标记颜色:markerfacecolor=...
1 Plot Types 基础图表：折线图、散点图、柱状图、饼图 高级图表：等高线图、热力图、3D 曲面图 统计图表：箱线图、直方图、误差棒图 Basic: Line plots, scatter plots, bar charts, pie charts Advanced: Contour plots, heatmaps, 3D surface plots Statistical: Box plots, histograms, error bars 2...