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()plt.show() Python Copy O...
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...
plt.tick_params(\ axis='x',# changes apply to the x-axis which='both',# both major and minor ticks are affected bottom='off',# ticks along the bottom edge are off top='off',# ticks along the top edge are off labelbottom='off')# labels along the bottom edge are off plt.show(...
→ fig.show(block=False), time.sleep(1) ax.grid() ax.patch.set_alpha(0) ax.set_[xy]lim(vmin, vmax) ax.set_[xy]label(label) ax.set_[xy]ticks(list) ax.set_[xy]ticklabels(list) ax.set_[sup]title(title) ax.tick_params(width=10, …) ax.set_axis_[on|off]() ax.tight_lay...
为删除 y 轴标签和刻度而调用的函数是matplotlib方法。
()# remove minor ticksplt.tick_params(axis='x',# changes apply to the x-axiswhich='both',# both major and minor ticks are affected; 可以是both,major和minorbottom=False,# ticks along the bottom edge are offtop=False,# ticks along the top edge are offlabelbottom=False)# labels along ...
3.Axis 容器 axis(轴) 用于处理 tick(刻度)、grid(网格线)、tick label(刻度标签)、 label(轴标签)、major ticks(大刻度)和 minor ticks(小刻度)的绘制,以及 Locator 和 Formatter ,用于控制刻度位置及刻度标签的表达式控制器。 另外,xaxis ,配置上刻度和下刻度,yaxis ,配置左刻度和右刻度。
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) ...
(ticks=xtick_location, labels=xtick_labels, rotation=0, fontsize=12, horizontalalignment='center', alpha=.7)plt.yticks(fontsize=12, alpha=.7)plt.title("Air Passengers Traffic (1949 - 1969)", fontsize=22)plt.grid(axis='both', alpha=.3)# Remove bordersplt.gca().spines["top"].set...
ax.xaxis.set_ticks_position('bottom') ax.yaxis.set_ticks_position('left') ax.spines['bottom'].set_position(('data',0))#outward,axes ax.spines['left'].set_position(('data',0)) 1. 2. 3. 4. 运行结果: Legend图例 给图做图例,只需要在plt.plot()加上label参数即可,然后执行plt.legend...