In data visualization, the scale refers to the range of values on the axes of a scatter plot. It determines how data points are spaced and can be linear or logarithmic.

When you have a time scale along the horizontal axis, the line plot is your friend. But in many other cases, when you're trying to assess if there's a correlation between two variables, for example, ...

Bug report When using log scale with a scatter plot the axes are not set correctly if there is a zero value in the data. Code for reproduction import matplotlib.pyplot as plt x=[1e4, 1e5, 1e6, 0] y= .

Choosing an inappropriate scale for a scatter plot can create misleading views. For example, using a logarithmic scale when a linear one is more appropriate can obscure the true nature of the ...