Understanding Matplotlib Axis Notation

Understanding Matplotlib Axis Notation

When using Matplotlib for data visualization, you may encounter axis notations like "1e-10 + 1.2886e-5." Here's how to interpret it:

  • 1e-10: This is the scale. Each tick on the axis represents this increment.
  • 1.2886e-5: This is the offset, added to each tick value on the axis.

For example, if you see a tick label of "6" on such an axis, the actual value it represents would be calculated as:

    Actual value = (Scale × y-axis value) + Offset
    Actual value = (6 × 1e-10) + 1.2886e-5
    Actual value = 1.28866 × 10-5
    

Note: This blog was automatically generated by ChatGPT.

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