module 'seaborn' has no attribute 'qqplot'

非常抱歉，最新版的seaborn库已经将qqplot函数更名为probplot，您可以使用以下代码来绘制QQ图：

import seaborn as sns
from sklearn.datasets import load_iris

# 加载鸢尾花数据集
iris = load_iris()
data = iris.data
target = iris.target

# 萼片长度、宽度、花瓣长度、宽度数据
sepal_length = data[:, 0]
sepal_width = data[:, 1]
petal_length = data[:, 2]
petal_width = data[:, 3]

# 绘制QQ图
sns.set(style="whitegrid")
sns.probplot(sepal_length, plot=sns.qqplot, line='s')
sns.probplot(sepal_width, plot=sns.qqplot, line='s')
sns.probplot(petal_length, plot=sns.qqplot, line='s')
sns.probplot(petal_width, plot=sns.qqplot, line='s')

这里我们使用了probplot函数，并将其plot参数设置为sns.qqplot，从而绘制QQ图。希望这个回答能够帮助您！

相关问题

AttributeError: module seaborn has no attribute histolot

AttributeError: module 'seaborn' has no attribute 'histolot 是一个错误提示，意味着在使用seaborn模块时，尝试访问名为'histolot'的属性时出错了。这个错误通常是由于拼写错误或者版本不兼容导致的。

seaborn是一个用于数据可视化的Python库，它建立在matplotlib之上，提供了更高级的绘图接口和更漂亮的默认样式。然而，seaborn并没有名为'histolot'的属性。

如果你想绘制直方图，seaborn提供了histplot()函数来实现。你可以使用以下代码来绘制直方图：

import seaborn as sns
import matplotlib.pyplot as plt

data = [1, 2, 3, 4, 5]
sns.histplot(data)
plt.show()

这将使用seaborn库绘制一个简单的直方图。请确保你已经正确安装了seaborn库，并且版本兼容。

seaborn has no attribute scatt

This error usually occurs when you try to call an attribute or function that does not exist in the Seaborn library. In this case, it seems like you are trying to call the attribute "scatt", which does not exist in Seaborn.

Perhaps you meant to use the attribute "scatterplot"? This is a commonly used attribute in Seaborn for creating scatter plots. You can use it like this:

import seaborn as sns
import matplotlib.pyplot as plt

# Create a scatter plot using Seaborn
tips = sns.load_dataset("tips")
sns.scatterplot(x="total_bill", y="tip", data=tips)

# Show the plot
plt.show()

This code will create a scatter plot using Seaborn by plotting the `total_bill` column on the x-axis and the `tip` column on the y-axis using the `scatterplot` attribute.