Alexandre Chabot-Leclerc

Giving this a shot during the SciPy sprints.

I'm gonna bail on this until @bmcfee has made changes to `AdaptiveWaveplot` as mentioned in #1532.

The refactor of `AdaptiveWaveplot` is happening in #1539.

See: - [plotly.py/migration-guide.md at master · plotly/plotly.py · GitHub](https://github.com/plotly/plotly.py/blob/master/migration-guide.md) - [Getting Started with Plotly for Python | plotly](https://plot.ly/python/getting-started/) - [Plotly User Guide for Python](https://plot.ly/python/user-guide/)

Using `syslog` could also be an option: Using [this solution](https://stackoverflow.com/questions/2244153/how-to-log-python-program-activity-in-mac-os-x), I'm able to see the output in the Devices section of Console.app. With [this solution](https://stackoverflow.com/questions/30125412/how-can-i-log-from-python-to-syslog-with-either-sysloghandler-or-syslog-on-mac-o), it's also visible in Console.app,...

If the experiment is run from the terminal, for example as part of a Sumatra call, it's easy to add a call to terminal-notifier afterwards: ``` smt run && terminal-notifier...

Something like this should do the trick: ``` mean_level = np.mean(utils.dbspl(signal)) adjusted_signal = target * 10 ** ((target_level - mean_level) / 20) ```

There's info in the official pandas docs since v0.16. http://pandas.pydata.org/pandas-docs/stable/internals.html#subclassing-pandas-data-structures

Some were added in 6b85c5afeb40d7f0361420438f69e2db60042c51.

Thanks for the feedback. You're right, I'm pretty sure it's not working because you're using Python 3. `unicode` is not defined in Python 3, it's simply called `str`. So either...