[英]How to make several plots with seaborn?
我想要的是:
我想使用一个函数绘制8个密度(小提琴)图(均在单独的图中),但是当我运行时,我会得到具有全部8个特征的单个图或同一特征的8个不同图。
如何使用函数在不同的图上绘制不同的图?
我当前的代码:
#CODE-1
#feature: a list of 8 features that i want to visualise
#visualise_univariate_feature: a function that plots a seaborn violin plot
#this code produces 8 plots but all on the same feature from the list(the last element of the list)
for i in range(9):
plt.figure(i)
for feature in features:
display(visualise_univariate_feature(x=feature))
#CODE-2
#This code produces 1 plot with 8 features all together
for feature in features:
display(visualise_univariate_feature(x=feature))
如果不了解visualise_univariate_feature
就不可能给出明确的答案。
但是你可以尝试
for i, feature in enumerate(features):
plt.figure(i+1)
display(visualise_univariate_feature(x=feature))
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