import pandas as pd
data = {
"age": [50, 40, 30, 40, 20, 10, 30],
"qualified": [True, False, False, False, False, True, True]
}
df = pd.DataFrame(data)
newdf = df.where(df["age"] > 30)
print(newdf)
age qualified 0 50.0 1.0 1 40.0 0.0 2 NaN NaN 3 40.0 0.0 4 NaN NaN 5 NaN NaN 6 NaN NaN