带有分类X轴的Matplotlib带状图（fill_between）

Question

我有一个组的平均值和标准偏差，我想用平均值创建一个ribbon plot，并用标准偏差遮蔽，但是我有分类的x_axis列。似乎有一个自动排序功能可以抛弃一切。

## Environmental Variables
x_axis = ['Hematite','Illmenite','Goethite','Magnetite','Quartz','Gibbsite','1:1 Clay','Maghemite','Carbonate Minerals','Plagioclase','2:1 Clays','Dolomite','Pyroxene','Calcite','Olivine','Glass']

negative_means = numpy.array([0.14335727,0.05707763,-0.25710322,-0.31085691,0.45552229,0.0092398,0.33358032,-0.31261271,-0.34325373,-0.32826959,-0.22494553,-0.13867505,0.42883104,0.52948655, -0.13867505,0.52948655])

negative_std = numpy.array([0.9218578779912541,1.0417523903222377,0.7225001946958459,0.6634664468936872,1.8400873597252276,1.2279905419059247,1.3735242455660657,0.721879847038041,0.5543207488394122,0.7817647212788771,0.0,0.0,2.088217480513372,2.2160413265187904,0.0,2.216041326518791])


fig, ax = plt.subplots(1)

ax.plot(negative_means, lw=2, label='mean population 1', color='blue')
plt.fill_between(x_axis, negative_means+negative_std, negative_means-negative_std, facecolor='blue', alpha=0.5)

## Set x labels
ax.set_xticklabels(x_axis)
x_max = int(max(plt.xticks()[0]))
# manually set  xtick labels
plt.xticks(range(0, x_max + 1), x_axis, rotation=45) 

得到的图如下所示：

如何使用分类x轴将我的绘图表示为与下面的问题类似。

Plot yerr/xerr as shaded region rather than error bars

当我将x_axis添加到ax.plot函数时，生成结果图：

Answer 1

我刚刚使用x更改了fill_between的range参数，该参数指定了分类变量的x值。在你的代码中，一切都很好。根据官方文档here，x值应该是定义曲线的cx-oordinates。根据@ ImportanceOfBeingErnest的评论，你可以坚持不通过x_axis而不是最好的方式

plt.fill_between(range(len(x_axis)), negative_means+negative_std, negative_means-negative_std, facecolor='blue', alpha=0.3)
plt.tight_layout()

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