如何更改seaborn散点图中的专色边缘颜色? [英] how to change spot edge colors in seaborn scatter plots?

问题描述

我使用 seaborn 创建了一个散点图:

I have created a scatter plot using seaborn:

import seaborn as sns
sns.set(style="ticks", color_codes=True)
        
g=sns.scatterplot(x="length", y="coverage", data=df, hue = 'Products', edgecolors=None, alpha = 0.7)
g.set(yscale="log")
plt.xlabel("Length(bp)")
plt.ylabel("Coverage")
plt.legend(loc = 'lower right')
plt.savefig('ATN_plot.png',dpi = 600)

原始数据(部分):

contig  length  coverage    pathway Products
53  1230    2423    stigmatellin    Yes
58  1195    885 curacin Yes
65  1161    598 jamaicamide Yes
68  1159    8001    jamaicamide Yes
79  1113    1423    curacin Yes
105 1042    1106    stigmatellin    Yes
727 666 223 HSAF (heat stable antifungal factor)    Yes
787 655 37  curacin Yes
791 654 13  stigmatellin    Yes
798 652 49  stigmatellin    Yes
844 642 5774    jamaicamide Yes
89  1090    13  No  No
90  1089    10  No  No
91  1086    26  No  No
92  1080    16  No  No
93  1079    10  No  No
94  1079    13  No  No

最后的情节是这样的:

我不喜欢斑点的白色边缘.图像的左下部分聚集了最多的斑点，看起来太白了.我已经在我的代码中包含了 edgecolors=None 但它似乎不起作用.有谁知道如何去除边缘颜色或将其更改为其他颜色?

I don't like the white edge of the spots. The left bottom part of the image where most spots are accumulated looks too white. I already included edgecolors=None in my code but it seems not working. Does anyone know how to remove the edge color or change it to others?

非常感谢！

推荐答案

用 linewidth=0

类似于:

g=sns.scatterplot(x="length", y="coverage", data=df, hue = 'Products', 
                  linewidth=0, alpha = 0.7)

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