ax.bar(x=0,height=0.5,bottom=np.arange(1,8),edgecolor="gold",label="香蕉",linewidth=2,width=-ban,orientation="horizontal",color="y") ax.set_xlim([-120,120]) ax.set_xlabel("销售量",fontsize=18) ax.set_yticks(np.linspace(1,7,7)) ax.set_xticks(np.linspace(-120,120,9)) for...
ax.set_xticks(np.linspace(1,7,7)) ax.set_yticks(np.linspace(50,100,6))#可调控字体大小,样式, ax.set_xticklabels(["星期一","星期二","星期三","星期四","星期五","星期六","星期日"],fontproperties="SimHei",fontsize=12) ax.set_yticklabels(["50kg","60kg","70kg","80kg","90...
ax.axis((0, 100, 0, 100)) # 坐标轴区间: x 为 10 , y 为 20 ax.set_xticks([i * 10 for i in range(11)]) ax.set_yticks([i * 20 for i in range(6)]) # 坐标原点在左上角 ax.xaxis.set_ticks_position("top") ax.invert_yaxis() # 显示 plt.tight_layout() plt.show() ...
arange is not good for that. It is better to use linspace. 2) You can set ticks and labels with the same function plot(x,y) xlabel('Time (years)') ylabel('Brightness') yticks(np.linspace(12/16., 1, 5), ('12/16', '13/16', '14/16', '15/16', '16/16') ) xticks(np....
ax1.set_title('xxxx') #设置ax1标题为xxxx ax1.set_xlabel('A') # 设置x标签为A ax1.set_ylabel('B') #设置y标签为B 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. ...
ax.set_yticks(np.linspace(50,100,6))#关于等差数列,想了解的可以参看numpy的用法 #设置刻度标签 ax.set_xticklabels(["星期一","星期二","星期三","星期四","星期五","星期六","星期日"],fontproperties="SimHei"\ ,fontsize=12) #这里用到了属性fontproperties可以单独设置x轴标签的字体,也可以用...
ax.set_xticks([2,4,6,8,10])#x轴刻度ax.set_yticks([1,3,6,9,12,15,18,20])#y轴刻度ax.set_xticklabels(['a','b','c','d','e'])#x轴刻度标注ax.set_yticklabels(['你','我','他'])#y轴刻度标注plt.show() 用于图形标识和注释的线条和矩形 ...
设置Y轴的ticks时,使用的方法可以具体控制每个位置(值)的ticks名称。更多的设置可参考文末列出的参考网站(matplotlib的官方文档)。 ## set X axis's ticks (major and minor) ax1.xaxis.set_major_locator(tkr.MultipleLocator(2.0)); ax1.xaxis.set_minor_locator(tkr.MultipleLocator(1.0));...
y = mlab.normpdf(bins, mu, sigma) ax.plot(bins, y, '--') ax.set_xlabel('Smarts') ax.set_ylabel('Probability density') ax.set_title(r'Histogram of IQ: $\mu=100$, $\sigma=15$') # Tweak spacing to prevent clipping of ylabel ...
可以使用xticks或yticks函数来设置刻度间隔,例如: 代码语言:txt 复制 import matplotlib.pyplot as plt # 设置x轴刻度间隔为2 plt.xticks(range(0, 10, 2)) # 设置y轴刻度间隔为0.5 plt.yticks([0, 0.5, 1]) 设置刻度显示格式:通过设置刻度的显示格式,可以让刻度更加清晰和易读。可以使用xticklabels或y...