每次运行后matplotlib标记类型顺序不一致？

Question

如果不更改任何代码，绘制的图形将不同。在新的重击中第一次正确运行，在下一次运行中无序运行(也许它可以循环回到正确的顺序）

具体来说： 环境：MacOS Mojave 10.14.2，python3.7.1通过自制软件安装。
方法：在同一个axes上为两组或三组数据绘制scatter，每一组都有不同的markertype和不同的colors。绘制自定义图例，显示每个markertype代表的数据集

很抱歉，我没有足够的时间准备可测试代码（目前），但这部分似乎是问题所在：

markerTypes = cycle(['o', 's', '^', 'd', 'p', 'P', '*'])
strainLegends = []
strains = list(set([idx.split('_')[0] for idx in pca2Plot.index]))
for strain in strains:
    # markerType is fixed here, and shouldn't be passed on to the next python run anyway.
    markerType = next(markerTypes)

    # strainSamples connects directly to strain variable, then data is generated from getting strainSamples:
    strainSamples = [sample for sample in samples if
                     sample.split('_')[0] == strain]
    xData = pca2Plot.loc[strainSamples, 'PC1']
    yData = pca2Plot.loc[strainSamples, 'PC2']
    # See pictures below, data is correctly identified from source

    # both scatter and legend instance use the same fixed markerType
    ax.scatter(xData, yData, c=drawColors[strainSamples],
               s=40, marker=markerType, zorder=3)
    strainLegends.append(Line2D([0], [0], marker=markerType, color='k',
                                markersize=10,
                                linewidth=0, label=strain))
    # print([i for i in ax.get_children() if isinstance(i, PathCollection)])

ax.legend(handles=strainLegends)

如您所见，markerType和strain数据与数据相关

对于bash中使用python3 my_code.py的第一次运行，它创建了一个正确的图片：请参见圆表示a，正方形表示B A=圆形，B=方形。参见(-3, -3.8)周围的正方形，该数据点来自数据集B

如果我在同一个终端中再次运行代码python3 my_code.py 注A和B完全聚集在一起，不相关。 现在如图例所示：A=正方形，B=圆形。再次查看数据点(-3, -3.8)，它来自数据集B，现在注释为A

如果我再次运行代码，可能会产生另一个结果

下面是我用来生成注释的代码：

dictColor = {ax: pd.Series(index=pca2Plot.index), }
HoverClick = interactionHoverClick(
    dictColor, fig, ax)
fig.canvas.mpl_connect("motion_notify_event", HoverClick.hover)
fig.canvas.mpl_connect("button_press_event", HoverClick.click)

在HoverClick课上，我有

def hover(self, event):
    if event.inaxes != None:
        ax = event.inaxes
        annot = self.annotAxs[ax]
        # class matplotlib.collections.PathCollection, here refere to the scatter plotting event (correct?)
        drawingNum = sum(isinstance(i, PathCollection)
                         for i in ax.get_children())
        # print([i for i in ax.get_children() if isinstance(i, PathCollection)])

        plotSeq = 0
        jump = []
        indInd = []
        indIndInstances = []
        for i in range(drawingNum):
            sc = ax.get_children()[i]
            cont, ind = sc.contains(event)
            jump.append(len(sc.get_facecolor()))
            indIndInstances.append(ind['ind'])
            if cont:
                plotSeq = i
                indInd.extend(ind['ind'])

        # here plotSeq is the index of last PathCollection instance that program find my mouse hovering on a datapoint of it.
        sc = ax.get_children()[plotSeq]
        cont, ind = sc.contains(event)

        if cont:
            try:
                exist = (indInd[0] in self.hovered)
            except:
                exist = False
            if not exist:
                hovered = indInd[0]
                pos = sc.get_offsets()[indInd[0]]

                textList = []
                for num in range(plotSeq + 1):
                    singleJump = sum(jump[:num])
                    textList.extend([self.colorDict[ax].index[i + singleJump]
                                     for i in indIndInstances[num]])
                text = '\n'.join(textList)
                annot.xy = pos
                annot.set_text(text)
                annot.set_visible(True)
                self.fig.canvas.draw_idle()
        else:
            if annot.get_visible():
                annot.set_visible(False)
                self.fig.canvas.draw_idle()
# hover

注意，我为print-each实例注释了代码。这是经过测试的，因为我认为这可能是在代码的其他部分中更改的实例顺序。但结果表明，无论是正确的还是错误的情况，顺序都没有改变

有人知道发生了什么吗？ 以前有人经历过吗？ 如果我需要在代码末尾清理内存，我应该怎么做

Answer 1

由于代码不完整，很难说清楚，但是标记的顺序似乎被cycle迭代器弄乱了。你为什么不试试：

markerTypes = ['o', 's', '^']
strainLegends = []

for strain, markerType in zip(strains, markerTypes):
    strainSamples = [sample for sample in samples if sample.split('_')[0] == strain]
    xData = pca2Plot.loc[strainSamples, 'PC1']
    yData = pca2Plot.loc[strainSamples, 'PC2']
    ax.scatter(xData, yData, c=drawColors[strainSamples], s=40, marker=markerType, zorder=3)
    strainLegends.append(Line2D([0], [0], marker=markerType, color='k',
                                markersize=10,
                                linewidth=0, label=strain))
ax.legend(handles=strainLegends)

当然，这假设strains和markerTypes的长度相同，并且标记在列表中的位置与要分配它们的应变值相同

Answer 2

我发现这个问题是由我在strains中进行的反复制过程引起的

# wrong code:
strains = list(set([idx.split('_')[0] for idx in pca2Plot.index]))

# correct code:
strains = list(OrderedDict.fromkeys([idx.split('_')[0] for idx in pca2Plot.index]))

因此，我问的问题不是一个有效的问题。谢谢，很抱歉所有人都调查了此事