In most cases, you don't need to worry too much about the size of your data. randn ( 50, 5 )), columns = list ( string. That's it, your default pandas representation will now use Jupyter DataTables! df = pd. Usage import numpy as np import pandas as pd from jupyter_datatables import init_datatables_mode init_datatables_mode () Installation pip install jupyter-datatables The jupyter-datatables uses jupyter-require to draw the table. What if those distribution plots were part of the standard DataFrame and we had the ability to quickly search through the table with minimal effort? What if it was the default representation? The common workflow is to display the dataframe, take a look at the data schema and then produce multiple plots to check the distribution of the data to have a clearer picture, perhaps search some data in the table, etc. ![]() Jupyter Notebook extension to levarage pandas DataFrames by integrating DataTables JS.ĭata scientists and in fact many developers work with pd.DataFrame on daily basis to interpret data to process them.
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