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(...
→ ax.clear() … close all figures? → plt.close(”all”) … remove ticks? → ax.set_xticks([]) … remove tick labels ? → ax.set_[xy]ticklabels([]) … rotate tick labels ? → ax.set_[xy]ticks(rotation=90) … hide top spine? → ax.spines[’top’].set_visible(False) …...
例如，我们可以使用Matplotlib的ax.bar_label()函数来为柱状图添加标签，通过ax.grid()函数来控制网格线的显示，以及使用ax.set_yticks()和ax.set_yticklabels()来设置Y轴的刻度和标签。此外，我们还可以通过ax.legend()和ax.get_legend().remove()来移除或自定义图例，以及使用ax.set_ylabel()和ax.set_xlabe...
ticks替换为文字 plt.xticks([1,2,3,4,5],labels=['2.5 $\AA$','4.0 $\AA$','6.0 $\AA$','9.0 $\AA$','16 $\AA$']) 调整主刻度 frommatplotlib.pyplotimportMultipleLocator# 从pyplot导入MultipleLocator类,这个类用于设置刻度间隔y_major_locator=MultipleLocator(10)# 把y轴的刻度间隔设置为10,并...
imgaxes = f.add_axes(a.get_position(), # new axes with same position label='image', # label to ensure imgaxes is different from a zorder=-1, # put image below the plot xticks=[], yticks=[]) # remove the ticksimg = imgaxes.imshow(...
You can remove the x and y axis and then use savefig withbbox_inches='tight'andpad_inches = 0to remove the white space. See code below: plt.axis('off')# this rows the rectangular frameax.get_xaxis().set_visible(False)# this removes the ticks and numbers for x axisax.get_yaxis...
# 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) ...
# Remove ticks ax.set_xticks([]) ax.set_yticks([]) def plot_histograms(ax, prng, nb_samples=10000): """Plot 4 histograms and a text annotation. """ params = ((10, 10), (4, 12), (50, 12), (6, 55)) for a, b in params: ...
minorticks_off()Remove minor ticks from the axes.https://matplotlib.org/api/_as_gen/matplotlib.pyplot.minorticks_off.html#matplotlib.pyplot.minorticks_off minorticks_on()Display minor ticks on the axes.https://matplotlib.org/api/_as_gen/matplotlib.pyplot.minorticks_on.html#matplotlib.pyplot.minorti...
matplotlib函数汇总 matplotlib函数手册 星猫译