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A way get around the issue is to set the two simultaneously. If you have matplotlib>=3.5, then you can pass the labels to set_xticks (or set_yticks for the y-axis) as the second argument. ax.set_xticks(new_ticks) ax.set_xticklabels(new_labels) # <--- error.
The sample plot with the box plots has a discrete X-axis and a continuous Y-axis, so you might need to adapt some functions of the examples of this tutorial depending on your data. For instance, if the X-axis of your plot is continuous and you want to change the labels you will need to use scale_x_continuous instead of scale_x_discrete. Axis titles
Axis scales# By default Matplotlib displays data on the axis using a linear scale. Matplotlib also supports logarithmic scales, and other less common scales as well. Usually this can be done directly by using the set_xscale or set_yscale methods.
3 Απρ 2023 · Using matplotlib, the x-axies draws large numbers such as 100000, 200000, 300000. I would like to have something like 1, 2, 3 and a 10^5 to indicate that it's actually 100000, 200000, 300000. Is there a simple way to create such scale in matplotlib?
The x-axis is a horizontal number line and the y-axis is a vertical number line. These two axes intersect perpendicularly to form the coordinate plane. The x-axis is also called the abscissa and the y-axis is called the ordinate.
The coordinate plane is a two-dimensional surface on which we can plot points, lines and curves. It has two scales, called the x -axis and y -axis, at right angles to each other. The plural of axis is 'axes' (pronounced "AXE-ease").
The x-axis and y-axis are axes in the Cartesian coordinate system. Together, they form a coordinate plane, which is the space in which two-dimensional graphing occurs. In two-dimensional space, the x-axis is the horizontal axis, while the y-axis is the vertical axis.
