In Spyder 3.1 we added the numpydoc library to improve completions of some objects (like Matplotlib figures and NumPy arrays). Is there any particular configuration that should be enabled to get this to work? It is more new, has way fewer overall options than Spyder, but the autocompletion works perfectly in the editor. UPDATE: As a side question, it would be great to know why is the autocompletion better in Rodeo (another IDE). PsychoPy modules, so got curious (however, please keep in mind that although I have scientific experience, I am relatively new to computation, so please keep it reasonably simple for an educated but not expert person). Finally, what are the technical aspects of the differences between the editor and the Ipython console in the performance of the autocompletion with Spyder? I read something about Jedi vs. what particular modules do work from the editor, and which ones doesn't?). Second, could someone state what is the official word on what works and what doesn't in terms of autocompletion (e.g. First, is there any particular configuration that should be enabled to get this to work? I don't think so, given some time spent googling, but just wanna make sure. In the Ipython console, 'df.' TAB would show the available procedures for that dataframe, such as groupby, and also its columns, etc. However, this does not happen with many other objects: for example, after defining a dataframe named 'df', typing 'df.' TAB shows nothing. So writing 'pd.' and hitting TAB, gets the box with options as expected. when pressing TAB a little box appears showing options) for some modules, such as pandas or matplotlib. However, when used from the editor (which is my main way of writing), is erratic. When used from the Ipython console, works as expected. Running on Mac Sierra, the autocompletion in Spyder (from Anaconda distribution), seems quite erratic.
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