commit 1f8a6c9f branch feature/remove_y_ticks commit f7b5dff3 commit c3bd7d65 checkout main merge feature/remove_y_ticks 排错指南 在处理去除y轴刻度线时,可能会遇到错误。通过以下时序图,我们可以追踪错误触发的链路: MatplotlibUserMatplotlibUser调用 plot() 方法绘制图表请求去除y轴刻度线返回错误 错误...
importmatplotlib.pyplotasplt fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3],label='how2matplotlib.com')ax.tick_params(axis='both',which='both',length=0)ax.set_xticklabels(ax.get_xticks())ax.set_yticklabels(ax.get_yticks())plt.title('保留刻度标签但移除刻度线')plt.legend(...
为删除 y 轴标签和刻度而调用的函数是matplotlib方法。
→ ax.set_[xy]ticks(rotation=90) … hide top spine? → ax.spines[’top’].set_visible(False) … hide legend border? → ax.legend(frameon=False) … show error as shaded region? → ax.fill_between(X, Y+error, Y‐error) … draw a rectangle? → ax.add_patch(plt.Rectangle((0, 0...
# Ensure limits are [0,1] and remove ticks ax.set_xlim(0, 1), ax.set_xticks([]) ax.set_ylim(0, 1), ax.set_yticks([]) def update(frame): global pos, color, size # Every ring is made more transparnt color[:, 3] = np.maximum(0, color[:,3]-1.0/n) ...
yticks(fontsize=12, alpha=.7) plt.title("Air Passengers Traffic (1949 - 1969)", fontsize=22) plt.grid(axis='both', alpha=.3) # Remove borders plt.gca().spines["top"].set_alpha(0.0) plt.gca().spines["bottom"].set_alpha(0.3) plt.gca().spines["right"].set_alpha(0.0) plt....
self.obj_b= self.result_axes_b.scatter(X,Y) 对于画好的scatter对象,使用其remove方法就可以将其删除掉。 Text 也具有remove()方法(注:这可能不是最优解) 5. 显示更新 在前面正弦曲线的例子中,我发现是可以直接work的,但是在混淆矩阵可视化设计里面,内容却不会更新,这个……我也不知道为什么。但似乎是涉及...
Display an array as a matrix in a new figure window.在新 figure 窗口显示数组矩阵 Remove minor ticks from the current plot.移除当前数轴上的次刻 度 Display minor ticks on the current plot.显示当前数轴上的次刻 度 Call a function with hold(True).调用一个函数,并且 hold 为 minorticks_off ...
plt.xticks(fontsize=12); plt.yticks(fontsize=12) plt.title("Scatterplot of Midwest Area vs Population", fontsize=22) plt.legend(fontsize=12) plt.show() 2. 带边界的气泡图 有时,您希望在边界内显示一组点以强调其重要性。在此示例...
plt.yticks(fontsize=12, alpha=.7) plt.title("Air Passengers Traffic (1949 - 1969)", fontsize=22) plt.grid(axis='both', alpha=.3) # Remove borders plt.gca().spines["top"].set_alpha(0.0) plt.gca().spines["bottom"].set_alpha(0.3) ...