你提供的 import seaborn as sns 语句本身是正确的,通常不会导致报错(除非前面有语法错误或其他库的冲突)。 查找可能的冲突或版本不兼容问题: 如果seaborn已安装且import语句无误,但仍然报错,可能是因为其他已安装的库与seaborn存在冲突,或者seaborn的版本与Python版本不兼容。 尝试更新seaborn库到最新版本,使用 pip ...
import seaborn as sns data = sns.load_dataset('mpg') correlation_matrix = data.corr() sns.heatmap(data.corr(), annot=True, cmap='coolwarm') annot=True这个参数可以输出一些额外的有用信息。一个常见hack是使用sns.set_context('talk')来获得额外的可读输出。 这个设置是为了生成幻灯片演示的图像,它...
Seaborn是一个惊人的可视化库,用于在Python中绘制统计图形。它构建在matplotlib库之上,并与pandas的数据结构紧密集成。 import numpy as np import seaborn as sns # Selecting style as white, # dark, whitegrid, darkgrid # or ticks sns.set( style = "white" ) # Generate a random univariate # dataset ...
mpl = LazyImport("import matplotlib as mpl") plt = LazyImport("import matplotlib.pyplot as plt") sns = LazyImport("import seaborn as sns") py = LazyImport("import plotly as py") go = LazyImport("import plotly.graph_objs as go") px = LazyImport("import plotly.express as px") dash...
导入import seaborn as sns时报错: 错误信息如下: Traceback (most recent call last): File "<ipython-input-148-e443b193c3f1>", line 5, in <module> import seaborn as sns File "E:\CQUPT\anaconda3.5\lib\site-packages\seaborn\__init__.py", line 14, in <module> ...
import matplotlib.pyplot as plt import seaborn as sns # 绘制混淆矩阵的热力图 plt.figure(figsize=(8, 6)) sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=iris.target_names, yticklabels=iris.target_names)
Seaborn 是基于 Matplotlib 的 Python 数据可视化库,专门用于绘制统计图形,如热图、小提琴图、带误差线的折线图等等。 import seaborn as sns import pandas as pd df = pd.read_csv('data.csv') sns.boxplot(x='day', y='total_bill', data=df) ...
import seaborn as sns ### Printing Inbuilt Datasets of Seaborn Library print(sns.get_dataset_names()) ### Loading Titanic Dataset df=sns.load_dataset('titanic') ### Importing The Library import dtale ### Generating Quick Summary dtale.show(df) 3...
as plt") sns = LazyImport("import seaborn as sns") py = LazyImport("import plotly as py...
sns = LazyImport("import seaborn as sns") py = LazyImport("import plotly as py")go = LazyImport("import plotly.graph_objs as go")px = LazyImport("import plotly.express as px") dash = LazyImport("import dash") bokeh = LazyImport("import bokeh") ...