Trying to create a filled dataframe from pandas crosstab

Question

I've got a numpy array that looks like this, in general (it was created from a pd crosstable if that's of any significance)

Person	1to1 Person Attribute	Circumstance	Outcome A Count	Outcome B Count
ABC1	1	X	100	25
DEF2	2	X	1	2
		Y	0	2
XYZ1	1	X	33	5
		Y	5	10

that I'd like to turn into a pandas dataframe that looks like

Person	1to1 Person Attribute	Circumstance	Outcome A Count	Outcome B Count
ABC1	1	X	100	25
DEF2	2	X	1	2
DEF2	2	Y	0	2
XYZ1	1	X	33	5
XYZ1	1	Y	5	10

I've attempted some for loops to take any situation where there's a blank and replace it with the previously observed value, but I've hit such an array of errors I've decided I might be headed down the wrong path entirely.

Thank you, everybody

Answer 1

pd.DataFrame(your ndarray).fillna(method = 'ffill')