I am quite new to using Jupyter. I came across a rather annoying little thing in Jupyter: abbreviations. I have a rather large - but not enormous - pandas dataframe. I would like to get some insights ont the missing structure. However, running df_total.isnull().sum() returns a list that is abbreviated with ...(see below).
roe_before_tax_1 1101
roe_before_tax_2 1165
roce_before_tax_0 1009
roce_before_tax_1 1050
roce_before_tax_2 1115
...
revenue_by_fte_2 689
personell_cost_by_revenue_0 1144
personell_cost_by_revenue_1 1187
personell_cost_by_revenue_2 1271
Is there any way to get rid of that and to see the full output? Thanks! /R