Our filtering functions accept a print_report boolean argument, which is True by default.
When True, the function prints the percentage of NaNs for each keypoint, before and after the filter.
This is a very useful feature for seeing the effects of filtering on missing values, but it gets quite annoying when you have to do chain multiple filters or to loop a single filter over multiple datasets (as one would typically do in a preprocessing pipeline).
In such cases, the printed output grows quite fast and is very verbose.
Therefore I propose making the default value to be False. This functionality will be still documented in the examples, so people will be aware of its existence should they need it.
Our filtering functions accept a
print_reportboolean argument, which is True by default. When True, the function prints the percentage of NaNs for each keypoint, before and after the filter. This is a very useful feature for seeing the effects of filtering on missing values, but it gets quite annoying when you have to do chain multiple filters or to loop a single filter over multiple datasets (as one would typically do in a preprocessing pipeline). In such cases, the printed output grows quite fast and is very verbose.Therefore I propose making the default value to be
False. This functionality will be still documented in the examples, so people will be aware of its existence should they need it.