Question

我正在用 R 和 lattice 的函数 < code> levelplot () () < /code > 进行热映射。

我使用的命令是:

data<-read.table("data_corr", header=T) 
library(gplots)
library(lattice)
z<-cor(data)
levelplot(z)

我得到一个像这样的身材

"https://i.sstatic.net/1BrEc.jpg" alt="one"/ >

三点:

(a) 挂号标签被打乱,如何解决这个问题,以获得更清晰的行号标签?

(b) 如何使用红色、绿色和蓝色的颜色而不是默认颜色(粉红色、白色和蓝色)?

(c) 是否可能将0.90至1的比额表调整为0.84,而不是0.90至1?

Python的解决方案也受到欢迎,因为在这种情况下,我的对应文件为90*90(行 * 列),称文件名为z.txt。

Answer 1

在 python s matplotlib 中,您问题的答案是:

(a) 绘制 imshow 选项 interpolation= "nearest"

(b) 可在 imshow 选项 cmap=cm.jet 中选择色谱。更多例子。

(c) 缩放时,我假设你只想要在阈值中显示值,并相应拥有颜色栏地图。使用 imshow 选项 vmax 和 vmin 。

以下是一个最起码的例子:

import numpy as np
import pylab as plt

# Create random matrix, save it to a text file
N = 90
A = np.random.random((N,N))
np.fill_diagonal(A,.95)
np.savetxt("z.txt",A)

# Load the data
A = np.loadtxt("z.txt")

# Apply a mask so values below .9 don t show
A[A<.9] = None

# Scale the values from .9 to 1.0 using vmin,vmax
plt.imshow(A, interpolation= nearest , vmin=.9,vmax=1.0,cmap=plt.cm.jet)
plt.colorbar()
plt.show()

""https://i.sstatic.net/rsxqt.png" alt="此处输入图像描述"/ >

Answer 2

从 levelplot 的帮助页面下载:

col.regions
color vector to be used if regions is TRUE. The general idea is that this should be a color vector of moderately large length (longer than the number of regions. By default this is 100). It is expected that this vector would be gradually varying in color (so that nearby colors would be similar). When the colors are actually chosen, they are chosen to be equally spaced along this vector. When there are more regions than colors in col.regions, the colors are recycled. The actual color assignment is performed by level.colors, which is documented separately.

Answer 3

除了Carl的答复之外:

您可以通过例如设置 col.regions 的默认值。
```
`trellis.par.set (regions = list (col = rainbow))
```
色标范围 : 见 levelplot s 参数 at 。
和列名称:见 ? xyplot ,参数 scales 。

友情链接