violinplot与boxplot扮演类似的角色,它显示了定量数据在一个(或多个)分类变量的多个层次上的分布,这些分布可以进行比较。不像箱形图中所有绘图组件都对应于实际数据点,小提琴绘图以基础分布的核密度估计为特征。 sns.violinplot(x="age", y="sex", hue="survived", data=titanic) 绘制条件关系的网格FacetGrid F...
violinplot 小提琴图 boxenplot 增强箱图 pointplot 点图 barplot 条形图 countplot 计数图 Distribution plot 分布图 jointplot 双变量关系图 pairplot 变量关系组图 distplot 直方图,质量估计图 kdeplot 核函数密度估计图 rugplot 将数组中的数据点绘制为轴上的数据 Regression plots 回归图 lmplot 回归模型图 regplot ...
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...
When the value axis of the plot has a non-linear scale, the statistical operations (e.g. an aggregation in pointplot or the kernel density fit in violinplot) are now applied in that scale space. All functions now accept a log_scale parameter. With a single argument, this will set the ...
sns.violinplot(x="day", y="total_bill", hue="smoker",split=True, inner="quart",palette={"Yes": "y", "No": "b"},data=tips) 3、箱线图 sns.catplot(x="color", y="price", kind="boxen",data=diamonds.sort_values("color")); ...
Color dots according to a group Show the number of observations per group Changed the bandwidth used to compute the density Seaborn heatmap customization: show numbers in cell Compare the distribution of several groups on the same chart Basic contourplot with seaborn. ...
Seaborn makes it really easy to plot basic graphs like scatter plots. We don't need to fiddle with the Figure object, Axes instances or set anything up, although, we can if we want to. Here, we've supplied the df as the data argument, and provided the features we want to visualize ...
examples licences seaborn _core _marks _stats colors external __init__.py _base.py _compat.py _docstrings.py _statistics.py _testing.py algorithms.py axisgrid.py categorical.py cm.py distributions.py matrix.py miscplot.py objects.py
sns.boxplot(x="day",y="total_bill",hue="time",data=tips) #盒图:排除离群点对数据的干扰 上下横刚分别为最大和最小; #盒子上下分别是四分之三和四分之一 中间横为中位数 上面菱形为离群点 #小提琴图 sns.violinplot(x='total_bill',y="day",hue="sex",data=tips,split=True) ...
Color dots according to a group Show the number of observations per group Changed the bandwidth used to compute the density Seaborn heatmap customization: show numbers in cell Compare the distribution of several groups on the same chart Basic contourplot with seaborn. ...