python - Pyplot axvspan : Multiple colors in one span (vertically)

Question

我正在尝试使用多种颜色突出显示 x 轴上的区域。我设法通过沿 x 轴剖切区域来找到解决方案，如下图所示:

但是，我想要一个在 y 轴上进行切片的解决方案。以图中的6362为例。有没有什么方法可以创建类似虚线条的东西，其中每个其他破折号(或任何名称)都是紫色和红色的？

编辑这是水平突出显示每个小节的相关代码

# Find exon's index
e_index = sorted(list(all_samples.ensembl_exon_id.unique())).index(exon)

# Total x-axis span incl offsets
xmin = e_index-0.25  # Start of x-span
xmax = e_index+0.25  # End of x-span
diff = xmax-xmin     # Length of entire span
buf = diff / len(s_names)  # Length of each subsection

# Go through each sample
for sname in s_names:
    # Get color of this sample
    s_color = colors[sname]

    # Get index of this sample
    order = list(s_names).index(sname)

    # Calc xmin and xmax for subsection
    s_xmin = xmin + (buf * order)
    s_xmax = s_xmin + buf

    # Highlight
    plt.axvspan(xmin=s_xmin, xmax=s_xmax, alpha=0.25, color=s_color, zorder=0.6, ymin=0, ymax=1)

Answer 1

您可以使用 axvspan 的 ymin 和 ymax 选项来创建每个“破折号”。通过循环轴间隔 0-1，您可以构建所有破折号。

这是我整理的一个快速函数，使其在一定程度上自动化。使用所需的选项调用 vspandash 以用破折号填充该区域。

import matplotlib.pyplot as plt
import numpy as np

fig,ax = plt.subplots(1)

x=y=np.arange(11)

ax.plot(x,y,'go-')

def vspandash(thisax,xmark,xwidth=0.6,ndash=10,colour1='r',colour2='m'):

    interval = 1./ndash
    hxwidth = xwidth/2.

    for j in np.arange(0,1,interval*2):
        thisax.axvspan(
                xmin=xmark-hxwidth,xmax=xmark+hxwidth,
                ymin=j,ymax=j+interval,
                facecolor=colour1,alpha=0.25,edgecolor='None'
                )
        thisax.axvspan(
                xmin=xmark-hxwidth,xmax=xmark+hxwidth,
                ymin=j+interval,ymax=j+interval*2.,
                facecolor=colour2,alpha=0.25,edgecolor='None'
                )

# Lets explore the different options
vspandash(ax,2)                           # Default width, number of dashes, and colours
vspandash(ax,4,ndash=20)                  # Increase number of dashes
vspandash(ax,6,xwidth=0.3)                # Change width of shaded region
vspandash(ax,8,colour1='b',colour2='g')   # Change colours of dashes

plt.show()