Pandas replace non-zero values
pandas, python
Solution
Use boolean indexing:
df[df != 0] = value
Problem
I know I can replace all nan values with `df.fillna(0)` and replace a single value with `df.replace('-',1)`, but how can I replace all non-zero values with a single value?