data=iris.query("species != 'versicolor'"), x="sepal_width", y="sepal_length", hue="species", thresh=.1,) 多变量直方图histplot 绘制单变量或双变量直方图以显示数据集的分布。 直方图是一种典型的可视化工具,它通过计算离散箱中的观察值数量来表示一个或多个变量的分布。该函数可以对每个箱子内计算...
import seaborn as snsimport matplotlib.pyplot as plt sns.set(style="darkgrid") # Load the example tips datasettips = sns.load_dataset("tips") # Plot the response with standard errorsns.lineplot(x="total_bill",y="tip",data=tips) plt.show() 散点图(Scatter Plot) Import seaborn as snsi...
# 使用Matplotlib绘制折线图 ax.plot(x, y1, label='Line 1', color='blue') # 使用Seaborn绘制散点图 sns.scatterplot(x=x, y=y2, label='Scatter', color='red', ax=ax) # 添加标题和标签 ax.set_title('Combined Plot Example') ax.set_xlabel('X-axis') ax.set_ylabel('Y-axis') # 显...
plot = sns.distplot(data.y, kde=False, color='b') 1. 2. 3. 矩阵图heatmap 利用热力图可以看数据表里多个特征两两的相似度。 sns.heatmap(uniform_data,vmin=0,vmax=1) 1. 分层聚集的热图clustermap # Load the brain networks example dataset df = sns.load_dataset("brain_networks", header=[0...
Example 1:Using random data to create a Seaborn Line Plot importpandasaspdimportseabornassnsimportmatplotlib.pyplotasplt Year=[2012,2014,2016,2020,2021,2022,2018]Profit=[80,75.8,74,65,99.5,19,33.6]data_plot=pd.DataFrame({"Year":Year,"Profit":Profit})sns.lineplot(x="Year",y="Profit",data...
Plotting Line Plot with Hues Huescan be used to segregate a dataset into multiple individual line plots, based on a feature you'd like them to be grouped (hued) by. For example, we can visualize the central tendency of thestays_in_week_nightsfeature, over the months, but take thearrival...
data_home='seaborn-data', cache=True)# 将调色板定义为一个列表,以指定精确的值palette = sns.color_palette("rocket_r")# 在两个切面上画线sns.relplot( data=dots, x="time", y="firing_rate", hue="coherence", size="choice", col="align", kind="line", size_order=["T1","T2"], pale...
plt.title('Simple Line Plot') plt.xlabel('X-axis') plt.ylabel('Y-axis') # 显示图例 plt.legend() # 显示图表 plt.show() 输出说明: 上面的代码绘制了一条蓝色的折线,并且为x轴和y轴添加了标签。通过plt.legend(),我们为图表添加了一个图例,帮助标识数据的含义。
这是一种用两种常见方法可视化统计关系的数字级函数:scatter plots 和line plots。relplot()结合了一个由两个轴级函数之一的FacetGrid: scatterplot() (with kind=“scatter”; the default) lineplot() (with kind=“line”) As we will see, these functions can be quite illuminating because they use ...
By default, this function creates a scatter plot. Customizing a single seaborn line plot We can customize the above chart in many ways to make it more readable and informative. For example, we can adjust the figure size, add title and axis labels, adjust the font size, customize the line...