Can I create a time series with a reverse-log axis scale, so more recent dates are wider apart?-CodePudding

In a few recent applications I have plotted some time series where the more recent values are of more interest, but the historical values are good for context. Here's an example, a

Ideally I would like the more recent dates to be shown more spread out on the x-axis, but still labelled correctly as dates. This would look a bit like a logarithmic scale in reverse. I think this idea might be quite useful for timelines in contexts where progress accelerates over time, e.g. computation power.

I've looked at this

CodePudding user response：

You may try something along these lines, i.e. converting your dates to number of days and then applying np.log10() on them:

prog.loc[:,'days'] = -np.log10(abs((prog.when - prog.iloc[-1].when).dt.days - 100))
g = sns.lineplot(x="days",y="words",data=prog,markers=True,marker="o")
_ = g.set_xticks(prog.days.to_list(), prog.when.dt.date.to_list(), rotation=90)

This yields this plot:

You can then handle overlapping labels by manually adjusting the xticklabels.