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Q: ggplot2 color mapped to x, y axis in matplotlib Is it possible to set colors to mapped to a scale for data, i.e. a plot like the following: df = 4 (blue) are plotted. I tried to set different arguments in scale_color_manual and scale_colour_manual, but none of them work. Here is the code with the former: ggplot(df, aes(x=x,y=y,color=v)) + geom_point() + scale_color_manual(values = c("red", "blue"), guide = FALSE) A: This may be a bit silly, but the problem is that you're using a categorical variable that has to be recoded. It's hard to say what you want to do, but try ggplot(df, aes(x=x,y=y,color=factor(v))) + geom_point() You can also set it to something like ggplot(df, aes(x=x,y=y,color=factor(v>=4,vChemotaxis of lymphoid cells in steady-state and inflammation in mice. Inflammation and the inflammatory response are important features of human and animal pathology. Molecules that attract or block the migration of cells are therefore important in both experimental models of inflammation and in blocking the migration of cells involved in disease. The chemokines RANTES, MIP-1alpha and MIP-1beta are produced by T cells and by fibroblasts and have chemoattractant properties in vitro for lymphocytes and monocytes. These chemokines are of interest as possible mediators of inflammatory cell recruitment in vivo. They are likely to be candidates for inhibition of migration of inflammatory

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