Python 在 Seaborn 中设置绘图背景颜色
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Setting plot background colour in Seaborn
提问by Lyndon White
I am using Seaborn to plot some data in Pandas.
我正在使用 Seaborn 在 Pandas 中绘制一些数据。
I am making some very large plots (factorplots).
我正在制作一些非常大的图（factorplots）。
To see them, I am using some visualisation facilities at my university. I am using a Compound screen made up of 4 by 4 monitors with small (but nonzero) bevel -- the gap between the screens. This gap is black. To minimise the disconnect between the screen i want the graph backgound to be black. I have been digging around the documentation and playing around and I can't work it out.. Surely this is simple.
为了看到它们，我在我的大学使用了一些可视化设施。我正在使用由 4 x 4 显示器组成的复合屏幕，带有小（但非零）斜角 - 屏幕之间的间隙。这个缝隙是黑色的。为了尽量减少屏幕之间的断开，我希望图形背景为黑色。我一直在挖掘文档并四处玩耍，但我无法解决。这当然很简单。
I can get grey background using set_style('darkgrid')
我可以使用获得灰色背景 set_style('darkgrid')
do i need to access the plot in matplotlib directly?
我需要直接访问 matplotlib 中的绘图吗？
采纳答案by Paul H
seaborn.settakes and rcargument that accepts a dictionary of valid matplotlib rcparams. So we need to set two things: the axes.facecolor, which is the color of the area where the data are drawn, and the figure.facecolor, which is the everything a part of the figure outside of the axesobject.
seaborn.setrc接受有效 matplotlib 字典的参数和参数rcparams。所以我们需要设置两件事情：axes.facecolor，它是绘制数据的区域的颜色，以及figure.facecolor，它是axes对象之外图形的一部分。
(edited with advice from @mwaskom)
（根据@mwaskom 的建议进行编辑）
So if you do:
所以如果你这样做：
%matplotlib inline
import matplotlib.pyplot as plt
import seaborn
seaborn.set(rc={'axes.facecolor':'cornflowerblue', 'figure.facecolor':'cornflowerblue'})
fig, ax = plt.subplots()
You get:
你得到：
And that'll work with your FacetGridas well.
这也适用于您FacetGrid。
回答by Greg
I am not familiar with seaborn but the following appears to let you change
the background by setting the axes background. It can set any of the ax.set_*elements.
我对 seaborn 不熟悉，但以下内容似乎可以让您通过设置轴背景来更改背景。它可以设置任何ax.set_*元素。
import seaborn as sns
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
m=pd.DataFrame({'x':['1','1','2','2','13','13'],
'y':np.random.randn(6)})
facet = sns.factorplot('x','y',data=m)
facet.set(axis_bgcolor='k')
plt.show()
回答by Simas Joneliunas
In new versions of seaborn you can also use
axes_style()and set_style()to quickly set the plot style to one of the predefined styles: darkgrid, whitegrid, dark, white, ticks
在新版本的 seaborn 中，您还可以使用
axes_style()并set_style()快速将绘图样式设置为预定义样式之一：darkgrid、whitegrid、dark、white、ticks
st = axes_style("whitegrid")
set_style("ticks", {"xtick.major.size": 8, "ytick.major.size": 8})
