sns.violinplot(data) sns.despine(offset=10) plt.show() 1. 2. 3. sns.set_style("whitegrid") sns.boxplot(data=data, palette="deep") sns.despine(left=True) # 删除左边边框 despine() 中添加参数去控制边框 1. 2. 3. seaborn.despin
官方文档解释:http://seaborn.pydata.org/generated/seaborn.boxplot.html?highlight=boxplot#seaborn.boxplot Draw a box plot to show distributions with respect to categories. A box plot (or box-and-whisker plot) shows the distribution of quantitative data in a way that facilitates comparisons betwee...
案例1-箱线图-Boxplots The first is the familiar boxplot(). This kind of plot shows the three quartile values of the distribution along with extreme values. The “whiskers” extend to points that lie within 1.5 IQRs of the lower and upper quartile, and then observations that fall outside...
Seaborn boxplot is the visual representation of groups depicted from numerical data using the quartiles. It is used for detecting the data set outlier. It captures the summary data effectively and efficiently by using the simple box, allowing us to compare all the groups easily. For example, i...
与箱型图完全一致,代码部分只把绘图函数由boxplot改为boxenplot。 swarmplot 与 stripplot 箱型图或小提琴图的补充,以类似散点图的形式,展示数据的分布。 stripplot :draw a categorical scatterplot with non-overlapping points. swarmplot :draw a categorical scatterplot with non-overlapping points. ...
swarmplot : A categorical scatterplotwherethe points donotoverlap. Can be usedwithother plotstoshoweachobservation. #设置风格sns.set_style('white')#导入数据tip_datas = sns.load_dataset('tips', data_home='seaborn-data')# 绘制传统的箱型图sns.boxplot(x='day', y='total_bill', data=tip_da...
boxplot() (with kind="box") violinplot() (with kind="violin") boxenplot() (with kind="boxen") Categorical estimate plots: pointplot() (with kind="point") barplot() (with kind="bar") countplot() (with kind="count") 以上三个类别代表了绘图的不同角度,在实践中,我们要根据要解决的问题...
x axisf, ax = plt.subplots(figsize=(7, 6))ax.set_xscale("log")# Load the example planets datasetplanets = sns.load_dataset("planets")# Plot the orbital period with horizontal boxessns.boxplot(x="distance", y="method", data=planets,whis="range", palette="vlag")# Add in points ...
planets=sns.load_dataset("planets")# Plot the orbital periodwithhorizontal boxes sns.boxplot(x="distance",y="method",data=planets,whis="range",palette="vlag")# Addinpoints to show each observation sns.swarmplot(x="distance",y="method",data=planets,size=2,color=".3",linewidth=0)# Tweak...
sns.boxplot(data=data, palette="deep") sns.despine(left=True) 临时设置绘图风格 虽然来回切换风格很容易,但是你也可以在一个with语句中使用axes_style()方法来临时的设置绘图参数。这也允许你用不同风格的轴来绘图: with sns.axes_style("darkgrid"): ...