如何订购seaborn pointplot

问题描述

以下是kaggle泰坦尼克号比赛的代码内核:

Here's code from kaggle Titanic competition kernel:

grid = sns.FacetGrid(train_df, row='Embarked', size=2.2, aspect=1.6)
grid.map(sns.pointplot, 'Pclass', 'Survived', 'Sex', palette='deep')
grid.add_legend()

它会产生错误的情节，即颜色相反的情节.我想知道如何修复这个确切的代码片段.我尝试将关键字paramas添加到grid.map()调用-order=["male", "female"], hue_order=["male", "female"]，但随后图变为空.

It produces wrong plot, the one with reversed colors. I'd like to know how to fix this exact code fragment. I tried adding keyword paramas to grid.map() call - order=["male", "female"], hue_order=["male", "female"], but then plots become empty.

推荐答案

在对grid.map(sns.pointplot, 'Pclass', 'Survived', 'Sex', palette='deep')的代码调用中，x类别是Pclass，而色相类别是Sex.因此，您需要添加

In the code call to grid.map(sns.pointplot, 'Pclass', 'Survived', 'Sex', palette='deep'), the x category is the Pclass and the hue category is the Sex. Hence you need to add

order = [1,2,3], hue_order=["male", "female"]

完整的示例(在这里我拿到了seaborn附带的泰坦尼克号-什么文字游戏！):

Complete example (where I took the titanic that ships with seaborn - what wordplay!):

import seaborn as sns
import matplotlib.pyplot as plt

df = sns.load_dataset("titanic")

grid = sns.FacetGrid(df, row='embarked', size=2.2, aspect=1.6)
grid.map(sns.pointplot, 'pclass', 'survived', 'sex', palette='deep',
             order=[1,2,3], hue_order=["female","male"])
grid.add_legend()

plt.show()

请注意，尽管绝对需要hue_order，但您可以省去order.虽然这会发出警告，但正确的顺序是这些值是数字的，因此可以自动排序，从而确保了正确的顺序.

Note that while hue_order is definitely required, you may leave out the order. While this will throw a warning, the correct order is garantied by the fact that those values are numerical and are hence automatically sorted.

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