Seaborn Boxplot Log Scale

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Python seaborn stripplot in logscale stack overflow

Python Seaborn Stripplot In Logscale Stack Overflow

I have plotted a boxplot using seaborn the y axis is uses a log scale time in miliseconds I would like to make the y axis more clear by including more values on the axis How could I achieve that The code used and the graph generated are below ax2 sns boxplot x xVals y Time data df2 whis 0 100 ax2 set yscale log You can use the plt.xscale () and plt.yscale () functions to use a log scale for the x-axis and y-axis, respectively, in a seaborn plot: import matplotlib.pyplot as plt. import seaborn as sns. #create scatterplot with log scale on both axes. sns.scatterplot(data=df, x='x', y='y') plt.xscale('log') plt.yscale('log')

seaborn boxplot log scale images

Seaborn Boxplot Log Scale Images

Seaborn Boxplot Log ScaleSeaborn's catplot does not have anymore the log parameter. For those looking for an updated answer, here's the quickest fix I've used: you have to use matplotlib's built-in support by accessing the axes object. g = sns.catplot(data=df, ) for ax in g.fig.axes: ax.set_yscale('log') Log scale bool or number or pair of bools or numbers Set axis scale s to log A single value sets the data axis for any numeric axes in the plot A pair of values sets each axis independently Numeric values are interpreted as the desired base default 10 When None or False seaborn defers to the existing Axes scale