Python 如何避免饼图matplotlib中的键百分比为零

我必须用%age值绘制饼图，我面临一个问题，即一些值非常小，它们的%age大约为零，当我在python中使用matplotlib绘制时，它们的标签覆盖了，并且它们不可读。我认为它的一个解决方案是避免使用0%年龄的值，第二个解决方案是分离标签以重叠（使用一些箭头等）。这是我的简单代码

def show_pi_chart(plot_title,keys,values,save_file):
    size = len(keys)
    #Get Colors list
    color_list = make_color_list(size)
    pyplot.axis("equal")
    pyplot.pie(values,
               labels=keys,
               colors=color_list,
               autopct="%1.1f%%"
               )
    pyplot.title(plot_title)  
    pyplot.show()

我的图表是

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使标签听写或删除小的%age键的解决方案是什么？以下代码应按预期工作：

from matplotlib import pyplot
from collections import Counter
import numpy as np

def fixOverLappingText(text):

    # if undetected overlaps reduce sigFigures to 1
    sigFigures = 2
    positions = [(round(item.get_position()[1],sigFigures), item) for item in text]

    overLapping = Counter((item[0] for item in positions))
    overLapping = [key for key, value in overLapping.items() if value >= 2]

    for key in overLapping:
        textObjects = [text for position, text in positions if position == key]

        if textObjects:

            # If bigger font size scale will need increasing
            scale = 0.05

            spacings = np.linspace(0,scale*len(textObjects),len(textObjects))

            for shift, textObject in zip(spacings,textObjects):
                textObject.set_y(key + shift)


def show_pi_chart(plot_title,keys,values):

    pyplot.axis("equal")

    # make sure to assign text variable to index [1] of return values
    text = pyplot.pie(values, labels=keys, autopct="%1.1f%%")[1]

    fixOverLappingText(text)
    pyplot.title(plot_title)

    pyplot.show()


show_pi_chart("TITLE",("One","Two","Three","Four","Five","Six","Seven", "Eight"),(20,0,0,10,44,0,0,44))

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我们应该提到饼图是邪恶的吗？与其全神贯注，不如问一个简单的问题