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Description
What
Add a new tick mode:
# Usage:
xaxis: {
tickmode: 'proportional',
tickvals: [0, .5, 1],
}
Effect:
Plotly will make ticks propotional to the range: So if the x range is [50, 150]
, the tick marks will appear at 50, 100, and 150. If the xrange is [-0.5, 1.5]
, the tick marks will appear at -0.5, 0.5, and 1.5.
Why
Auto
tick formatting is usually ugly (for any value ntick
), and the other modes aren't responsive to user zooms.
Workaround: Using python w/ jlab, but I can calculate ticks manually on range changes and during rendering, and then use array
mode, but it is clunky, and requires my users to have the plotly installed in their kernel and on jlab server. My proposal doesn't seem that different than modifying auto
behavior, so I'll take a shot.
Who am I
Working on analysis software for geologists who design wells.