matplotlib ax 与 刻度相关函数

参考链接
https://blog.csdn.net/weixin_34498545/article/details/112631706

进行初始化

plt.figure(figsize = (8,6))

ax = plt.gca()

---

调整坐标轴范围

x轴
ax.set_xlim()


y轴
ax.set_ylim()

设置在 0 - 8 之间
ax.set_xlim(0,8)

ax.set_ylim(0,8)

---

设置 x 轴 y 轴 标题
("内容",fontsize = ,color = ,alpha = , bbox = ,)


ax.set_xlabel()


ax.set_ylabel()


参数示例

ax.set_xlabel("X轴",fontsize = 14,color = 'b',alpha = 0.7,bbox=dict(boxstyle='round,pad=0.5', fc='yellow', ec='blue',lw=1 ,alpha=0.7))

ax.set_ylabel("Y轴",fontsize = 14,color = 'b',alpha = 0.7,bbox=dict(boxstyle='round,pad=0.5', fc='yellow', ec='blue',lw=1 ,alpha=0.7))

---

修改默认刻度文字
(列表 , family = , fontsize = ,)

ax.set_xticklabels()


ax.set_yticklabels()


ax.set_xticklabels(['A','B','C','D','E','F','G'])

ax.set_yticklabels(['鉴','图','化','视','可','注','关'],
family = 'SimHei',fontsize = 14)

---

突出主副刻度
使用 tick_params 对刻度线进行调整

tick_params(which = , length = , labelsize = ,)



tick_params(which='major',length=8,labelsize=10)


tick_params(which='minor',length=4)

---

 调整 坐标轴 刻度 距离

默认刻度 locator

位置 MultipleLocator

样式 FormatStrFormatter


from matplotlib.ticker import MultipleLocator, FormatStrFormatter


xmajorLocator   = MultipleLocator(1)
ax.xaxis.set_major_locator(xmajorLocator)

ymajorLocator   = MultipleLocator(1)
ax.yaxis.set_major_locator(ymajorLocator)

xminorLocator   = MultipleLocator(0.25)
ax.xaxis.set_minor_locator(xminorLocator)

yminorLocator   = MultipleLocator(0.25)
ax.yaxis.set_minor_locator(yminorLocator)


MultipleLocator(1) 表示刻度之间的间隔为 1

 

标签：set,MultipleLocator,matplotlib,locator,fontsize,刻度,ax
来源： https://www.cnblogs.com/hany-postq473111315/p/15202660.html