Python seaborn 中没有线性拟合的散点图
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Scatterplot without linear fit in seaborn
提问by
I am wondering if there is a way to turn off the linear fit in seaborn's lmplotor if there is an equivalent function that just produces the scatterplot.
Sure, I could also use matplotlib, however, I find the syntax and aesthetics in seaborn quite appealing. E.g,. I want to plot the following plot
我想知道是否有办法关闭 seaborn 中的线性拟合，lmplot或者是否有一个等效的函数可以生成散点图。当然，我也可以使用 matplotlib，但是，我发现 seaborn 中的语法和美学非常吸引人。例如，。我想绘制以下情节
import seaborn as sns
sns.set(style="ticks")
df = sns.load_dataset("anscombe")
sns.lmplot("x", "y", data=df, hue='dataset')
Without the linear fit like so:
没有像这样的线性拟合：
from itertools import cycle
import numpy as np
import matplotlib.pyplot as plt
color_gen = cycle(('blue', 'lightgreen', 'red', 'purple', 'gray', 'cyan'))
for lab in np.unique(df['dataset']):
plt.scatter(df.loc[df['dataset'] == lab, 'x'],
df.loc[df['dataset'] == lab, 'y'],
c=next(color_gen),
label=lab)
plt.legend(loc='best')
采纳答案by HYRY
set fit_regargument to False:
将fit_reg参数设置为False：
sns.lmplot("x", "y", data=df, hue='dataset', fit_reg=False)
回答by Michael Hall
This doesn't directly answer the question, but may help others who find there way here who just want to do a plain old scatter plot.
As of version 0.9.0seaborn now has a scatterplotmethod.
这并不能直接回答问题，但可能会帮助其他人在这里找到方法，他们只想做一个简单的旧散点图。
从 0.9.0 版本开始，seaborn 现在有一个scatterplot方法。
import seaborn as sns
sns.set(style="ticks")
df = sns.load_dataset("anscombe")
sns.scatterplot("x", "y", data=df, hue='dataset')
回答by Rudra Mohan
I recommend instead of sns.lmplot()to use sns.scatterplot()
我建议而不是sns.lmplot()使用sns.scatterplot()
# import libaries
import seaborn as sns
# load tips dataset from GitHub seaborn repository
tips_df = sns.load_dataset("tips")
#create scatter plot
sns.scatterplot(x = "tip", y = "total_bill", data = tips_df, hue ="sex")
To learn more in detail follow seaborn scatter plotusing sns.scatterplot() tutorial
要详细了解使用 sns.scatterplot() 教程的seaborn 散点图
