我有一个组的平均值和标准差，我想创建一个 ribbon plot平均值和标准差的阴影，但是我有分类 x_axis 列。似乎有一个自动排序功能会抛弃一切。
## 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)
结果图如下所示:
如何用分类 x_axis 来制定我的绘图，使其看起来与下面的问题类似。
Plot yerr/xerr as shaded region rather than error bars
当我将 x_axis 添加到 ax.plot 函数时，会生成结果图:
最佳答案
我刚刚使用 range 更改了 fill_ Between 的 x 参数，该范围指定了分类变量的 x 值。其余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 坐标。您可以坚持在绘图时不传递 x_axis，这不是上面 @ImportanceOfBeingErnest 的评论的最佳方式
plt.fill_between(range(len(x_axis)), negative_means+negative_std, negative_means-negative_std, facecolor='blue', alpha=0.3)
plt.tight_layout()
输出
关于python - 带有分类 X 轴的 Matplotlib 带状图 (fill_ Between)，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/52391671/