Replace values in one pandas dataframe using boolean values from another dataframe?

I have two pandas dataframes, one containing data and another consisting of True/False values

1. iris

2. iris_bool

I would like to replace values in table 1 with NA/NaNs based on the corresponding boolean in table 2. Is there an easy way to do this?

>Solution :

Try mask:

iris = iris.mask(~iris_bool)

Output:

>>> iris
   Sepal.Length  Sepal.Width  Petal.Length  Petal.Width Species
0           5.1          NaN           1.4          NaN     NaN
1           NaN          3.0           NaN          NaN     NaN
2           NaN          NaN           NaN          NaN  setosa