# 设置Seaborn的风格和颜色调色板sns.set_style("darkgrid")# 设置图片大小plt.figure(figsize=(8,6))# 设置宽10英寸,高6英寸# 绘制散点图,展示花瓣长度和花瓣宽度之间的关系sns.scatterplot(data=iris,x='petal_length',y='petal_width',hue='species')# 设置图表标题和标签plt.title('Petal Length vs....
} df = pd.DataFrame(data) print("【显示】df") print(df) print("【执行】sns.scatterplot(x='Weight', y='Height', hue='Gender', data=df, style='Gender', palette='deep')") sns.scatterplot(x='Weight', y='Height', hue='Gender', data=df, style='Gender', palette='deep') plt....
密度散点图(Density Scatter Plot),也称为密度点图或核密度估计散点图,是一种数据可视化技术,主要用于展示大量数据点在二维平面上的分布情况。与传统散点图相比,它使用颜色或阴影来表示数据点的密度,从而更直观地展示数据的分布情况。密度散点图能更好地揭示数据的集中趋势和分布模式,尤其是在数据量非常大时,避免...
3. 散点矩阵图(Scatter Matrix Plot) 用于可视化多个变量之间的关系,通过绘制多个散点图组合在一起形成一个矩阵 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import matplotlib.pyplot as plt import numpy as np # 生成随机数据 np.random.seed(0) data = np.random.rand(4, 100) # 生成一个4行...
3. 使用scatterplot()函数创建散点图: sns.scatterplot(x=x_data, y=y_data) 4. 可选地,你可以添加标题、轴标签等元素来完善图表: plt.title("Scatter Plot Example") plt.xlabel("X-axis label") plt.ylabel("Y-axis label") 5. 最后,显示图表: ...
```python import seaborn as sns import matplotlib.pyplot as plt # 示例数据 x = [1, 2, 3, 4, 5] y = [2, 4, 1, 3, 5] # 使用 scatterplot 绘制散点图 sns.scatterplot(x=x, y=y) # 添加图例 plt.legend() # 显示图形 plt.show() ``` 7.总结 Seaborn 库中的 scatterplot 函数...
scatter_matrix(data, axs=axs) plt.show() 在这个示例中,我们首先导入NumPy和Matplotlib库。然后,我们使用NumPy的random.rand函数创建一个20x4的随机数据矩阵。接下来,我们使用scatter_matrix函数创建散点矩阵图,并将结果存储在变量scatter_matrix中。scatter_matrix函数的第一个参数是要可视化的数据,第二个参数是一个...
Scatter Plot A scatter plot is a diagram where each value in the data set is represented by a dot. The Matplotlib module has a method for drawing scatter plots, it needs two arrays of the same length, one for the values of the x-axis, and one for the values of the y-axis: ...
Basic boxplot with Python and Seaborn from various data input formats. # library & dataset import seaborn as sns df = sns.load_dataset('iris') # use the function scatterplot() to make a scatterplot sns.scatterplot(x=df["sepal_length"], y=df["sepal_width"]) ...
Seaborn scatterplot() Scatter plots are great way to visualize two quantitative variables and their relationships. Often we can add additional variables on the scatter plot by using color, shape and size of the data points. With Seaborn in Python, we can make scatter plots in multiple ways, ...