Adjusting axes and ticks

In data visualization, it is often not enough to only display the trend in a relative sense. An axis scale is essential to facilitate value estimation for proper interpretation. Ticks are markers on an axis that denote the scale for this purpose. Depending on the nature of data and figure layout, we often need to adjust the scale and tick spacing to provide enough information without clutter. In this section, we are going to introduce the customization methods.

Customizing tick spacing with locators

There are two sets of ticks to mark coordinates on each axis: major and minor ticks. By default, Matplotlib tries to  automatically optimize the tick spacing and format based...