original data option for the power law plot about powerlaw

[BMo-design]

Comparing the results of this library with the results of the script by Joel Ornstein http://tuvalu.santafe.edu/~aaronc/powerlaws/, I found that the blue line in the second figure is correct, but the fit (red line) should be at the same position as in the first picture....

[jeffalstott]

I don't understand the issue. Can you be more detailed in what you're expecting to happen, and how this is different from what you're seeing?

[BMo-design]

Hi Jeff,
thanks for your answer. I would expect a figure like this:

[jeffalstott]

What you're talking about was discussed here:
https://groups.google.com/d/msg/powerlaw-general/A3aI-5efAuE/wpp6EGZut7gJ

@psinger implemented a proportionality constant ("shifting") capability in his fork here, but it didn't materialize into a fully-vetted pull request to merge into powerlaw. If you implement the functionality you want and make a pull request, I'll merge it in!

"powerlaw is open for further development. If there's a feature you'd like to see in powerlaw, submit an issue. Pull requests and offers for expansion or inclusion in other projects are welcomed and encouraged. The original author of powerlaw, Jeff Alstott, is now only writing minor tweaks, so contributions are very helpful."

[pyguy3]

Just to say I would also find this feature useful, i.e. it would be great to be able to see the power law fit superimposed on the full dataset, not just the dataset starting at xmin. That way, it is easy to do a visual check on whether the xmin used is sensible.

[jeffalstott]

Thanks @pyguy3. As I mentioned back in 2017, if a fully-vetted pull request is made, I'll merge it in! @psinger got one started in his fork here.