The accepted answer suggests to modify the raw data for presentation purposes, something you generally do not want. Imagine you need to make further analyses with these columns and you need the precision you lost with rounding. You can modify the formatting of individual columns in data frames, in your case: output = df.to_string(formatters={ ‘var1’: … Read more
Yes, there’s way to do just that in IPython. First, define the destination in the cell you want to link with a html anchor tag and give it an Id. For example: <a id=’another_cell’></a> Note – When you run the above cell in markdown, it will become invisible. You can add some text above the … Read more
The following worked for my needs: get_ipython().__class__.__name__ It returns ‘TerminalInteractiveShell’ on a terminal IPython, ‘ZMQInteractiveShell’ on Jupyter (notebook AND qtconsole) and fails (NameError) on a regular Python interpreter. The method get_ipython() seems to be available in the global namespace by default when IPython is started. Wrapping it in a simple function: def is_notebook() -> bool: … Read more
I think Dill answers your question well. pip install dill Save a Notebook session: import dill dill.dump_session(‘notebook_env.db’) Restore a Notebook session: import dill dill.load_session(‘notebook_env.db’) Source
You can toggle the scroll window in the main menu of the notebook Cell -> Current Outputs -> Toggle Scrolling
This is a matplotlib question, and you can get around this by using a backend that doesn’t display to the user, e.g. ‘Agg’: import matplotlib matplotlib.use(‘Agg’) import matplotlib.pyplot as plt plt.plot([1,2,3]) plt.savefig(‘/tmp/test.png’) EDIT: If you don’t want to lose the ability to display plots, turn off Interactive Mode, and only call plt.show() when you are … Read more
For 4.0 and above You need to install the notebook app separately from https://github.com/jupyter/notebook pip install jupyter
Updated 2021/11/17 When using PIL/Pillow, Jupyter Notebooks now have a display built-in that will show the image directly, with no extra fuss. display(pil_im) Jupyter will also show the image if it is simply the last line in a cell (this has changed since the original post). Thanks to answers from @Dean and @Prabhat for pointing … Read more
from IPython.display import HTML HTML(”'<script> code_show=true; function code_toggle() { if (code_show){ $(‘div.input’).hide(); } else { $(‘div.input’).show(); } code_show = !code_show } $( document ).ready(code_toggle); </script> <form action=”javascript:code_toggle()”><input type=”submit” value=”Click here to toggle on/off the raw code.”></form>”’)
I usually create a dictionary containing a DataFrame for every sheet: xl_file = pd.ExcelFile(file_name) dfs = {sheet_name: xl_file.parse(sheet_name) for sheet_name in xl_file.sheet_names} Update: In pandas version 0.21.0+ you will get this behavior more cleanly by passing sheet_name=None to read_excel: dfs = pd.read_excel(file_name, sheet_name=None) In 0.20 and prior, this was sheetname rather than sheet_name (this is … Read more