保证金Boxplots Matplotlib

Question

我想手动为以下代码生成的箱图添加边距。目前，角落（末端）的箱形图太多了。一般来说会有很多箱形图（不像这个示例代码），我喜欢它们（如代码中所示），但我希望两侧有一个边距。

我正在使用matplotlib版本1.3.1

import matplotlib.pyplot as plt
statistic_dict = {0.40000000000000002: [0.36003616645322273, 0.40526649416305677, 0.46522159350924536], 0.20000000000000001: [0.11932912803730165, 0.23235825966896217, 0.12380728472472625]}
def draw_boxplot(y_values, x_values, edge_color, fill_color):
    bp = plt.boxplot(y_values, patch_artist=True, positions=x_values, widths=(0.05,0.05))
    for element in ['boxes', 'whiskers', 'fliers', 'medians', 'caps']:
        plt.setp(bp[element], color=edge_color)
    plt.xlabel("x label ")
    plt.ylabel("y label ")
    plt.title("Title")
    for patch in bp['boxes']:
        patch.set(facecolor=fill_color)
y_values = statistic_dict.values()
x_values = statistic_dict.keys()
draw_boxplot(y_values, x_values, "skyblue", "white")
plt.gca().autoscale()
plt.savefig('fileName.png', bbox_inches='tight')
plt.close()

Answer 1

如果ax.margins()无法正常工作，以下是一个hacky变通方法。

import numpy as np
import matplotlib.pyplot as plt

statistic_dict = {0.40: [0.36, 0.40, 0.46], 
                  0.20: [0.11, 0.23, 0.12],
                  0.70: [0.19, 0.23, 0.12]}

def draw_boxplot(y_values, x_values, edge_color, fill_color):
    bp = plt.boxplot(y_values, patch_artist=True, positions=x_values)
    for element in ['boxes', 'whiskers', 'fliers', 'medians', 'caps']:
        plt.setp(bp[element], color=edge_color)
    plt.xlabel("x label ")
    plt.ylabel("y label ")
    plt.title("Title")
    for patch in bp['boxes']:
        patch.set(facecolor=fill_color)

    v = np.array([box.get_path().vertices for box in bp['boxes']])
    margin=0.2
    xmin = v[:,:5,0].min() - (max(x_values)-min(x_values))*margin
    xmax = v[:,:5,0].max() + (max(x_values)-min(x_values))*margin
    plt.xlim(xmin, xmax)

y_values = statistic_dict.values()
x_values = statistic_dict.keys()
draw_boxplot(y_values, x_values, "skyblue", "white")

plt.show()