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Violin Plot troubles in Python on log scale

Another option to try, is to transform the data. The tick labels for the y-axis can be rewritten using a custom formatter. And minor ticks similar to a log plot can be generated. import matplotlib.pyplot as plt from matplotlib import ticker as mticker import seaborn as sns import numpy as np data = [[1e-05, 0.00102, … Read more

Split violin plot with ggplot2

Or, to avoid fiddling with the densities, you could extend ggplot2‘s GeomViolin like this: GeomSplitViolin <- ggproto(“GeomSplitViolin”, GeomViolin, draw_group = function(self, data, …, draw_quantiles = NULL) { data <- transform(data, xminv = x – violinwidth * (x – xmin), xmaxv = x + violinwidth * (xmax – x)) grp <- data[1, “group”] newdata <- plyr::arrange(transform(data, … Read more