display is a function in the IPython.display module that runs the appropriate dunder method to get the appropriate data to … display. If you really want to run it But don’t. IPython is already doing that for you. Just do: You even might have IPython uninstalled, try: or if running pip3:
jupyter notebook –help-all could be of help: For example: You can of course set it in your profiles if needed, you might need to escape backslash in Windows. Note that this will override whatever path you might have set in a jupyter_notebook_config.py file. (Where you can set a variable c.NotebookApp.notebook_dir that will be your default … Read more
If you are using matplotlib and want to show the image in your interactive notebook, try the following:
You have a 0-dimensional array of object dtype. Making this array at all is probably a mistake, but if you want to use it anyway, you can extract the dictionary by indexing the array with a tuple of no indices: or by calling the array’s item method:
If you have LaTeX installed you can download as PDF directly from Jupyter notebook with File -> Download as -> PDF via LaTeX (.pdf). Otherwise follow these two steps. For HTML output, you should now use Jupyter in place of IPython and select File -> Download as -> HTML (.html) or run the following command:jupyter nbconvert –to html notebook.ipynb This will convert the Jupyter document file … Read more
I’m looking at using the *.ipynb files as the source of truth and programmatically ‘compiling’ them into .py files for scheduled jobs/tasks. The only way I understand to do this is via the GUI. Is there a way to do it via command line?
From the notebook menu you can save the file directly as a python script. Go to the ‘File’ option of the menu, then select ‘Download as’ and there you would see a ‘Python (.py)’ option. Another option would be to use nbconvert from the command line: Have a look here.
I usually create a dictionary containing a DataFrame for every sheet: Update: In pandas version 0.21.0+ you will get this behavior more cleanly by passing sheet_name=None to read_excel: In 0.20 and prior, this was sheetname rather than sheet_name (this is now deprecated in favor of the above):
%reset seems to clear defined variables.
Quoting from the Conda blog: Having been involved in the python world for so long, we are all aware of pip, easy_install, and virtualenv, but these tools did not meet all of our specific requirements. The main problem is that they are focused around Python, neglecting non-Python library dependencies, such as HDF5, MKL, LLVM, etc., which … Read more