我有下图:
我是通过以下Python脚本实现的:
# Colormap plot
im = ax.imshow(np.log10(np.abs(matrixCl_der_transposed)), extent = [1e-8, 1e-1, 10, 5000], origin='lower',\
aspect = 'auto', interpolation = 'none', cmap = 'viridis')
# Increase space between x-axis and x-label
ax.tick_params(axis = 'x', which = 'major', pad = 15)
# Add lower multipole l = 10
y_label_list = ['10', '1000', '2000', '3000', '4000', '5000']
ax.set_yticks = [10, 1000, 2000, 3000, 4000, 5000]
ax.set_yticklabels(y_label_list)
# Log scal for step
plt.xscale('log')
# Title
plt.title('$\log_{10}|(C_{l}\')|$ of '+paramLatexArray[idParam]+' at $z$ = '+\
str(zrange[idRedshift]), fontsize = 24, pad = 25)
# Lebels on axis
plt.xlabel('step', fontsize = 20)
plt.ylabel('$l$ multipole', fontsize = 20)
plt.xticks(fontsize = 20)
plt.yticks(fontsize = 20)
plt.grid()
# Color bar
clb = plt.colorbar(im)
clb.ax.set_title('$\log_{10}|(C_{l}\')|$', fontsize = 20, pad = 12)
clb.ax.tick_params(labelsize = 16)
tick_locator = ticker.MaxNLocator(nbins=15)
clb.locator = tick_locator
clb.update_ticks()
如您所见,我尝试通过以下方式显式添加y轴的下限值(等于10
的原点):
# Add lower multipole l = 10
y_label_list = ['10', '1000', '2000', '3000', '4000', '5000']
ax.set_yticks = [10, 1000, 2000, 3000, 4000, 5000]
ax.set_yticklabels(y_label_list)
但是很遗憾,这个较低的值不会出现在图的左下方。显示值1000
,2000
,3000
,4000
和5000
,但不显示10
值。
extent = [1e-8, 1e-1, 10, 5000]
的imshow
选项是否引起此问题?
我不知道该怎么做才能自动添加这个较低的值,如果有人有解决方案,那会很好。
问候
[就像@ImportanceOfBeingErnest所说,set_yticks
是一个函数,而不是属性。您应该调用它并向其传递标签列表,如下所示:
y_label_list = ['10', '1000', '2000', '3000', '4000', '5000']
ax.set_yticks(y_label_list)