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...
import numpy as np def scatterplot(x_data, y_data, x_label="", y_label="", title="", color = "r", yscale_log=False): # Create the plot object _, ax = plt.subplots() # Plot the data, set the size (s), color and transparency (alpha) # of the points ax.scatter(x_data,...
2,3) plt.plot(sz_df['最高价'],'r-',label=u'深证成指最高价',lw=2.0)#红色实线，线宽...
plt.plot(x, x +0, linestyle='solid') plt.plot(x, x +1, linestyle='dashed') plt.plot(x, x +2, linestyle='dashdot') plt.plot(x, x +3, linestyle='dotted'); # 还可以用形象的符号代表线条风格 plt.plot(x, x +4, linestyle='-...
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:
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...
[_*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...
plt.plot(x,y) plt.xticks(x,()) plt.show() 1. 2. 3. 4. 5. 6. 7. 对于labels参数,我们可以赋予其任意其它的值,如人名,月份等等。 import numpy as np import matplotlib.pyplot as plt x = range(1,13,1) y = range(1,13,1) ...