Plot point markers and lines in different hues but the same style with seaborn

You can directly use pandas for plotting. pandas via groupby fig, ax = plt.subplots() df.groupby(“logic”).plot(x=”n_index”, y=”value”, marker=”o”, ax=ax) ax.legend([“False”,”True”]) The drawback here would be that the legend needs to be created manually. pandas via pivot df.pivot_table(“value”, “n_index”, “logic”).plot(marker=”o”) seaborn lineplot For seaborn lineplot it seems a single marker is enough to get the desired result. … Read more

Remove ‘a’ from legend when using aesthetics and geom_text

Set show.legend = FALSE in geom_text: ggplot(data = iris, aes(x = Sepal.Length, y = Sepal.Width, colour = Species, shape = Species, label = Species)) + geom_point() + geom_text(show.legend = FALSE) The argument show_guide changed name to show.legend in ggplot2 2.0.0 (see release news). Pre-ggplot2 2.0.0: With show_guide = FALSE like so… ggplot(data = iris, aes(x … Read more

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