1]# 提取数值数据fig,ax=plt.subplots()ax.plot(dates,values)# 调整刻度间隔ax.xaxis.set_major_l...
使用Seaborn的set_xticklabels()和set_yticklabels()函数可以设置刻度的样式和大小。例如,我们要将x轴的刻度标签的字体大小设置为12,y轴的刻度标签的字体大小设置为10,可以
sns.violinplot(x='Churn',y='TotalCharges',data=df,palette='BuPu',showmeans=False,showmedians=True,ax=ax) ax.set_title('总缴费分布') ax.set_xticklabels(['未流失','流失'],rotation=0,fontproperties=font) ax.set_title('总消费金额分布',fontproperties=font) 1. 2. 3. 4. 5. 6. ...
为了改变x轴刻度,使用set_xticks和set_xticklabels方法。前者表明刻度标注的范围,后者设置刻度标签的内容: fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.plot(np.random.randn(1000).cumsum()) ticks = ax.set_xticks([0, 250, 500, 750, 1000]) labels = ax.set_xticklabels(['one'...
ax.plot(npr.randn(1000).cumsum())#要想修改x的刻度,最简单的方法就是使用set_xticks和set_xticklabels.前者告诉matplotlib将#刻度放在数据范围中的哪些位置,默认情况下,这些位置就是刻度标签。但是可以使用set_xticklabels将#任何其他的值用作标签ticks = ax.set_xticks([0,250,500,700,900,1000])#下面的...
ax1.set_xticks([0.2,0.4,0.6,0.8])# 子图2ax2 = axislines.Subplot(fig,132) fig.add_subplot(ax2) ax2.set_yticks([1,3,5,7]) ax2.set_yticklabels(('one','two','three','four','five'))# 不显示‘five'ax2.set_xlim(5,0)# X轴刻度ax2.axis["left"].set_axis_direction("right...
importmatplotlib.pyplotasplt# 创建一个图形对象fig,ax=plt.subplots()# 绘制图形的代码# 设置x轴刻度ax.set_xticks([0,1,2,3,4])# 设置刻度位置ax.set_xticklabels(['A','B','C','D','E'])# 设置刻度标签# 设置其他属性ax.set_xlabel('X Label')# 设置x轴标题ax.tick_params(axis='x',la...
ax.set_xticks(np.linspace(1,7,7))#np.linspace()函数为等差数列,1至7的7个数组成的等差数列1,2,3,4,5,6,7, 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...
tick_params(which='both',direction='in',left=False,right=False) ax3.yaxis.set_ticks_position('right')#将数值刻度移动到左侧 ax3.yaxis.set_major_locator(mticker.NullLocator())#去掉y轴坐标 ax3.xaxis.set_minor_locator(mticker.MultipleLocator(100))#显示x轴副刻度 ax3x=np.array([200,400,800,...
ax.set_yticklabels([r"\rm $"+str1.get_text()+"$" for str1 in ax.get_yticklabels()], usetex=True, fontsize=20.0, fontproperties=fontname) ax.tick_params(axis='x', direction='in', length=6) ax.tick_params(axis='y', direction='in', length=6) ...