如何指定颜色栏范围并保持其大小而与绘图值无关 [英] How to specify colorbar range and keep it regardless of plotting values

问题描述

我昨晚输入了此内容，然后在我要提交时，我弄清楚了.提交以防其他人需要.

I typed this up last night then as I was about to submit it I figured it out. Submitting in case anyone else needs it.

我正在底图上连续几天绘制每小时的气象值.

I am plotting meteorological values for every hour for multiple days on basemap.

我想在每张地图上始终保持相同的颜色条值.假设每个地块的取值范围是0-10.

I want to keep the same values of the colorbar at all times for each map. Lets say from 0-10 for each plot.

有时这些值都非常接近零，而其他值则在0-10之间.

Sometimes the values are all very close to zero and others they range from 0-10.

for file in files:
    ncfile = Dataset(file)
    cbarticks=np.arange(0.0,10.0,0.5)
    bm.contour(x, y, to_np(energyproduction), 10, colors="black",vmin=0,vmax=10.0)
    bm.contourf(x, y, to_np(energyproduction), 10,cmap = get_cmap('jet'),vmin=0,vmax=10.0)
    plt.colorbar(shrink=.62,ticks=cbarticks)
    plt.show()

我将其设置为使最小值和最大值始终为0和10.刻度线始终为0-10(以0.5为增量).如何强制颜色条保持不变.

I have it set so that the min and max values are always 0 and 10. And that the ticks are always 0-10 by increments of 0.5. How can I force the colorbar to stay the same.

我希望颜色栏始终具有相同的

I would prefer that the colorbar always has the same range of

推荐答案

问题出在我的outline()和Contourf()中.在此之前，我在函数中传递了10.

The issue was in my contour() and contourf(). Prior I was passing a 10 within the function.

bm.contour(x, y, to_np(energyproduction), 10, colors="black",vmin=0,vmax=10.0)
bm.contourf(x, y, to_np(energyproduction), 10,cmap = get_cmap('jet'),vmin=0,vmax=10.0)

10表示在曲线图的最小值和最大值之间有10步.因此，如果只有0-1的值，则将以.1的增量绘制等高线.

The 10 designation means that there are 10 steps between the min and max value of the plot. So if there are only values of 0-1 you will get .1 increments of plotting contours etc.

将10删除并使其显示在Cbarticks上，我可以为每个图获得相同的颜色条值，而不管其值如何.

Be removing 10 and seeing it to cbarticks, I was able to get the same colorbar values for each plot regardless of the values.

for file in files:
     ncfile = Dataset(file)
     cbarticks=np.arange(0.0,10.0,0.5)
     bm.contour(x, y, to_np(energyproduction), cbarticks, colors="black",vmin=0,vmax=10.0)
     bm.contourf(x, y, to_np(energyproduction), cbarticks, cmap = get_cmap('jet'),vmin=0,vmax=10.0)
     plt.colorbar(shrink=.62,ticks=cbarticks)
     plt.show()

我相信这与底图轮廓内的级别"相同.

I believe this is the same designation of "levels" within basemap contour.

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