[英]How to change the point size for regplot(), seaborn's scatter plot function (python)
I want to be able to set the point size when plotting like this:我希望能够在这样绘图时设置点大小:
sns.regplot(y=[1,3,4,2,5], x=[range(5)], data=df,
marker='o', color='red')
plt.show()
Do you guys know how?大家知道怎么做吗?
To do this you can feed the regplot()
function the scatter_kws
arg like so:为此,您可以像这样为regplot()
函数提供scatter_kws
参数:
import seaborn as sns
tips = sns.load_dataset('tips')
sns.regplot(x='total_bill', y='tip', data=tips,
marker='o', color='red', scatter_kws={'s':2})
sns.regplot(x='total_bill', y='tip', data=tips,
marker='o', color='red', scatter_kws={'s':20})
You could even make the points dynamically sized to represent a third dimension.您甚至可以动态调整点的大小以表示第三维。 This code uses the same data as the OP, but wraps it in a DataFrame (as seaborn is designed for that) and also adds a third dimension, z.此代码使用与 OP 相同的数据,但将其包装在 DataFrame 中(因为 seaborn 就是为此而设计的)并添加了第三维 z。
import seaborn as sns
import pandas as pd
data = pd.DataFrame({
'x': [x for x in range(5)],
'y': [1, 3, 4, 2, 5],
'z': [14, 14, 100, 16, 36]
})
sns.regplot(x='x', y='y', data=data, marker='o', color='red',
scatter_kws={'s': data['z']})
You can probably imagine how you could also manipulate the list/array of sizes programatically, giving you a lot of power to convey extra information.您可能可以想象如何以编程方式操作大小列表/数组,从而为您提供大量传达额外信息的能力。
I would add to mburke05's answer that it appears possible to pass array-like data into scatter_kws.
我想补充 mburke05 的答案,似乎可以将类似数组的数据传递到scatter_kws.
For example, if you wanted the size
attribute in the tips dataset to determine the size of a point you can write:例如,如果您希望tips 数据集中的size
属性来确定一个点的大小,您可以这样写:
sns.regplot(
x="total_bill", y="tip", data=tips,
marker='o', color='red', scatter_kws={'s':tips['size']})
However, you must explicitly lookup that attribute in the dataframe (as above);但是,您必须在数据框中显式查找该属性(如上所述); you cannot simply use the column name as you would when setting x
and y
.您不能像设置x
和y
那样简单地使用列名。
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