matplotlib设置X轴

Question

我试图通过使用我创建的ShapeFile点的反射值来可视化由40个带有Matplotlib的频段组成的栅格数据。

例如，在我下面写的代码中，band_n变量的平均为33,36,36,39,40，并用B2标题绘制它。在这方面，我期望每个图的X轴上有4个滴答。

    prof = train_pts.groupby (['classes']).mean ()
fig = plt.figure(figsize = (17,20))
band_n = [ 'Band [33,36,39,40]', 'Band [2,6,11,16]', 'Band [3,7,12,17]', 'Band [4,8,13,30]', 'Band [20,22,14,26]', 'Band [2,26,11,30]','Band [2,26,11,30]']
band_name = ['B2', 'B3', 'B4', 'B8', 'NDVI', 'VV', 'VH']
n = 1
for i, ba in enumerate(band_n):
    ax = fig.add_subplot(4,2,i + 1)
    ax.title.set_text(band_name[i])
    band_val = prof[prof.columns[prof.columns.to_series().str.contains(ba)]]
    for index, row in band_val.iterrows():
        color = cmap (index)
        ax.plot (row,color=color)
    ax.set_xticklabels([(str (band_n) for band_n in range(1, len(row)+1))]) #replace the column names with numbers
    ax.legend(loc='best', fontsize='small', ncol=1, labels=class_names)
n=n+1

但是当我运行此操作时，我会通过此图会警告：

​还是有更简单的方法？

ax.set_xticklabels([(str (band_n) for band_n in range(1, len(row)+1))]) #replace the column names with numbers