在 python seaborn lmplot 中更改标记大小
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changing the marker size in python seaborn lmplot
提问by galucero
I am trying to change the size of the lmplot markers in seaborn. I have tried passing 's' or 'size' as arguments and neither of them work.
我正在尝试更改 seaborn 中 lmplot 标记的大小。我试过将 's' 或 'size' 作为参数传递，但它们都不起作用。
lm = sns.lmplot(x="totalX",y="NormI", hue="Data Type", data=df, palette="Set1", legend_out=False, S=20)
I have tried "s", "markersize", "size" I get no effect. I want to make the data points larger on the plot. Any help is much appreciated.
我试过 "s", "markersize", "size" 我没有效果。我想让图上的数据点更大。任何帮助深表感谢。
采纳答案by RDJ
You want to use scatter_kws={"s": 100}
你想用 scatter_kws={"s": 100}
As in:
如：
lm = sns.lmplot(x = "totalX", y = "NormI", hue = "Data Type", data = df, palette="Set1", legend_out=False, scatter_kws={"s": 100})
You can amend the integer value (currently 100) to change the size of the markers.
您可以修改整数值（当前为 100）以更改标记的大小。
I don't know what your hueor palettedata are, but this should work nonetheless.
我不知道你的hue或palette数据是什么，但这应该有效。
回答by Michael Hall
I know this question specifies lmplotbut thought I would add an answer for how to do this with a seaborn scatterplot.
我知道这个问题指定了lmplot但我想我会添加一个关于如何用 seaborn 做到这一点的答案scatterplot。
df = sns.load_dataset("anscombe")
sp = sns.scatterplot(x="x", y="y", hue="dataset", data=df)
And to change the size of the points you use the sparameter
并更改您使用s参数的点的大小
sp = sns.scatterplot(x="x", y="y", hue="dataset", data=df, s=100)
