April 2018
Beginner to intermediate
300 pages
7h 34m
English
Content preview from Matplotlib for Python Developers - Second Edition
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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.
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