eltonlaw / impyute

If axis != 1, functionality of axis = 0 occurs regardless of value (or dtype) passed. Enforce [0, 1] values and throw BadInputError from impyute.util.errors.py with an appropriate explanation.

Be sure to follow the 4 steps outlined in contributing.md

The below labels are for DDFG (Data Days for Good) participant reference:
Priority: Low
Difficulty: Low

impyute/impyute/imputation/ts/locf.py

Lines 33 to 36 in 2c25368

    
           if axis == 0: 
        
               data = np.transpose(data) 
        
           elif axis == 1: 
        
               pass

[DDFG] Add OutofBounds error handling