[英]Suppressing all labeling in pandas scatter_matrix
I'm producing a scatterplot matrix using the scatter_matrix
function in pandas.tools.plotting
and since I have a lot of variables the labels end up looking very messy. 我使用了该散点图矩阵
scatter_matrix
在功能pandas.tools.plotting
,因为我有很多的变量标签最终看起来很凌乱。 Is there a way to suppress all the labels and perhaps even the tick marks? 有没有一种方法可以抑制所有标签甚至刻度线? Here is some code that shows essentially what I mean:
这是一些代码,基本上说明了我的意思:
import numpy as np
from pandas import DataFrame, scatter_matrix
n = 50
p = 15
cols = ['var_' + str(k) for k in range(p)]
data = DataFrame(np.random.randn(n, p), columns = cols)
scatter_matrix(data, diagonal = 'kde')
This works for me: 这对我有用:
sm = scatter_matrix(data, diagonal = 'kde')
for subaxis in sm:
for ax in subaxis:
ax.xaxis.set_ticks([])
ax.yaxis.set_ticks([])
ax.set_ylabel("")
ax.set_xlabel("")
pic = sm[0][0].get_figure()
pic.savefig("MyScatter.png")
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