Using lambda to create custom formatting in pandas pivot tables
I am using a pandas pivot table to generate a table view of text data (approx 5000 elements across multiple classes). I am using a lambda function to format the text in the cell, with one value per row. Code below:
pivot_table dropna parameter is not working as expected
What is the use of dropna parameter if both True and False yield same result?
How to get multiple metrics per category value in pandas crosstab?
My current pandas crosstab is repeating the crosstab laterally (column wise) per metric. I would like to have the metrics repeated row-wise per row column category instead. The below illustration (current output vs desired output) shows the structural change I’m after. Appreciate your advice.