ax1.set_xticks([0,2,4,6]) ax1.set_yticks([-3, 0, 3]) ax2.plot(x, y) plt.show() A选项:set_xticks()用于定义y轴的刻度值 B选项:set_yticks()用于定义x轴的刻度值 C选项:set_xticks()用于定义x轴和y轴的刻度值 D选项:set_yticks()用于定义y轴的刻度值 正确答案是:D 图1 问题解析...
importmatplotlib.pyplotaspltfrommatplotlib.tickerimportFormatStrFormatter# 创建坐标轴fig,ax=plt.subplots()# 设置y轴的刻度标签ax.set_yticks([0.1,0.2,0.3,0.4,0.5])# 设置小数点后的精度ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))# 绘制图形x=[1,2,3,4,5]y=[0.12,0.25,0.38,0.42,...
方法一:使用set_yticks函数 我们可以使用set_yticks函数来设置y轴的刻度值。set_yticks函数接受一个数组作为参数,数组中的元素将被设置为y轴的刻度值。 下面是一个示例代码: fig,ax=plt.subplots()ax.boxplot(data)ax.set_yticks([0,1,2,3])# 设置y轴刻度值为0、1、2、3plt.show() 1. 2. 3. 4...
ax.set_xlim(x_min, x_max) ax.set_ylim(y_min, y_max) # 将刻度和轴设置为相等,以避免失真 ax.set_xticks(x_ticks) ax.set_yticks(y_ticks) ax.axis('equal') plt.show() point_symbol_map(polygons, multipolygons, center_poly, center_multipoly, attribute_poly_a, attribute_multipoly_a,...
3. 绘制双Y轴: fig =plt.figure() ax1= fig.add_subplot(211) ax1.bar(np.arange(0,10,2),np.random.rand(5)) ax1.set_yticks(np.arange(0,1,0.25)) ax2= ax1.twinx()#克隆一个共享x轴的axes对象ax2.plot(np.random.randn(10),c="b") ...
更改ytick标签: 代码语言:txt 复制 # 获取当前的ytick标签 yticks = ax.get_yticks() # 创建新的ytick标签 new_yticks = ['A', 'B', 'C', 'D', 'E'] # 设置新的ytick标签 ax.set_yticklabels(new_yticks) 完整的代码示例: 代码语言:txt ...
set_xticks(np.arange(-180,181,30), crs=ccrs.PlateCarree()) ax.set_yticks(np.arange(-20,76,15), crs=ccrs.PlateCarree()) ax.tick_params(color = 'gray',direction='in',length=1,labelsize=3) c = ax.contourf(data['XLONG'][0],data['XLAT'][0],(TSK_mean_space[0]+TSK_mean_...
ax.set_xticks([]) ax.set_yticks([]) ax.set_ylim([-30, 10]) data = np.ones(100) data[70:] -= np.arange(30) ax.annotate( 'THE DAY I REALIZED\nI COULD COOK BACON\nWHENEVER I WANTED', xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10)) ...
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") ax2.axis["left"].label.set_text("子图2 left标签")# 显示在右边ax2.axis["bottom"].set_axis_...
plt.yticks([1, 2, 3, 4], ["$bad\ xixi$","$ordinary$","$good$","$best$"]) 使用plt.gca()获取坐标轴信息 ax = plt.gca() 我们可以对坐标轴的进行各种设置(包含将坐标轴交点设为(0,0)的方法) #使用spines设置边框,共有("left","right","top","bottom")四种选项,使用set_color()设置...