英文:
Can you make a value transparent in a colorbar when plotting?
问题
有没有办法在使用matplotlib colormaps绘图时将特定颜色设置为透明？我有一个差异图，其中包含正值和负值，我希望'零'天的部分变为透明。纯白色不适用，因为底图下面有一个我希望在零变化区域显示的基础地图。
'turbo' 颜色映射非常适合 - 如果有办法编辑数值使零变为透明。
h = data.plot('Days_Difference', time=-1, ax=ax, colorbar=False, clim=(-10, 10), cmap='turbo')
英文:
does anyone know of a way to make a certain color transparent when plotting using matplotlib colormaps? I have a difference plot with positive and negative values, and would like the 'zero' days where nothing has changed to be transparent. A solid white won't work because I have a base map underneath that I would like showing in the areas of zero change.
The 'turbo' color map is perfect - if there is a way I can edit the values to make zero transparent.
h=data.plot('Days_Difference', time=-1, ax=ax, colorbar=False, clim=(-10, 10), cmap='turbo')
答案1
得分: 1
使用您的色标的set_bad方法将屏蔽值设置为透明（alpha=0）
masked_data = numpy.ma.masked_equal(data, 0) # 屏蔽值为0的数据
# 基于'turbo'色标创建自定义色标
cmap = matplotlib.colormaps["turbo"]
cmap.set_bad(alpha=0) # 使屏蔽值透明
h=masked_data.plot('Days_Difference', time=-1, ax=ax, colorbar=False, clim=(-10, 10), cmap=cmap)
英文:
Use the set_bad method of your colormap to set the masked values to transparent(alpha=0)
masked_data = numpy.ma.masked_equal(data, 0) # Mask values at 0
# Create a custom colormap based on 'turbo' colormap
cmap = matplotlib.colormaps["turbo"]
cmap.set_bad(alpha=0) # Make masked values transparent
h=masked_data.plot('Days_Difference', time=-1, ax=ax, colorbar=False, clim=(-10, 10), cmap=cmap)
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