Question

我正在尝试使用Seaborn创建一个boxplot和一个stripplot，就像在this中一样。但是，在箱线图的顶部可能难以读取stripplot的数据点。我的目标是拥有一个'开放'的箱形图，就像大熊猫DataFrame.plot（kind ='box'）所做的那样。见this example。但我仍然希望Seaborn内置分组功能。

我的尝试是使用PatchArtist而不是Line2D艺术家。来自here，

kwargs : key, value mappings

Other keyword arguments are passed through to plt.boxplot at draw time.

但是传递patch_artist = True会导致错误：TypeError: boxplot() got multiple values for keyword argument 'patch_artist'。

最小的工作示例：

import seaborn as sns
data = sns.load_dataset('tips')
sns.boxplot(x='day', y='total_bill', data=data, **{'notch':True})

以上示例显示kwargs正确传递给plt.boxplot（）。以下示例生成TypeError。

import seaborn as sns
data = sns.load_dataset('tips')
sns.boxplot(x='day', y='total_bill', data=data, **{'patch_artist':True})

patch_artist是生成打开的箱形图的最佳方式吗？如果是这样，我怎样才能将其与seaborn一起使用？

Answer 1

As it turns out, seaborn returns the subplot axis that it just generated. We can directly set properties on the artists it creates.

A minimal example:

var vm = require('vm');
var babel = require("babel-core");

// VM context object
var context = {
    require: require,
    callback: function(error) {
        if (error) {
            console.log(error.stack);
        } else {
            console.log(this.response);
        }
    }
};

// ES 7 code
var code = "var request = require('request-promise'); var response = await request({ url: 'https://graph.facebook.com/?id=http://news.ycombinator.com', json: true })";

// Wrap the code
code = "'use strict'; async function run() { try { " + code.replace(/var /g, "this.") + "; this.callback(null); } catch(error) { this.callback(error); } }; run.apply(this)";

// Transpile code ES7 -> ES5
var regeneratedCode = babel.transform(code, { "ast": false, "presets": ["stage-0"] }).code;

// Create VM context
var vmContext = new vm.createContext(context);

// Create virtual script
var script = new vm.Script(regeneratedCode);

// Run script
script.runInContext(vmContext, {displayErrors: true, timeout: 30000});

This lets us manipulate each patch individually, while still using the import seaborn as sns import matplotlib.pyplot as plt data = sns.load_dataset('tips') ax = sns.boxplot(x='day', y='total_bill', data=data) plt.setp(ax.artists, alpha=.5, linewidth=2, fill=False, edgecolor="k") sns.stripplot(x='day', y='total_bill', data=data, jitter=True, edgecolor='gray') variable in hue to group the data for us. Finally, the sns.boxplot() overlay sits on top of the box.

Seaborn将kwargs传递给plt.boxplot（）

1 个答案: